AZ-900 Flashcards

1
Q

Azure File Sync

A

Azure File Sync: A service provided by Microsoft Azure that enables organizations to synchronize files between on-premises servers and Azure File shares. It allows seamless access to files from anywhere while maintaining centralized control and reducing storage costs by tiering less frequently accessed data to Azure.

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2
Q

Data migration assistant

A

Azure Data Migration Assistant: A tool provided by Microsoft Azure to assist in the assessment and migration of on-premises databases to Azure SQL Database or Azure SQL Managed Instance. It helps identify compatibility issues, provides recommendations for performance optimization, and facilitates the schema and data migration process, ensuring a smooth transition to the Azure cloud platform.

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3
Q

Azure Files

A

Azure Files: A cloud-based file sharing service provided by Microsoft Azure, allowing users to create fully managed file shares in the cloud accessible via Server Message Block (SMB) or Network File System (NFS) protocols. It enables easy file sharing across multiple platforms and environments, offering scalability, high availability, and integration with Active Directory for secure authentication and access control.

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4
Q

Azure Advisor Blade

A

Azure Advisor Blade: A feature within the Azure portal that provides personalized recommendations to help optimize Azure resources for better performance, security, reliability, and cost efficiency. It offers actionable insights based on best practices and Azure usage patterns, helping users make informed decisions to improve their Azure deployments.

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5
Q

Security Center Blade

A

Azure Security Center Blade: A section within the Azure portal that provides centralized security management and monitoring for Azure resources. It offers security recommendations, threat detection, and advanced capabilities such as security policies, regulatory compliance, and integration with Azure Defender for protection against advanced threats across cloud workloads.

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6
Q

Compliance Manager

A

Compliance Manager: A tool within Microsoft 365 and Azure that helps organizations assess and manage their compliance posture across various regulations and standards. It provides a centralized dashboard for tracking compliance-related activities, assessing risks, and implementing controls to meet regulatory requirements such as GDPR, HIPAA, ISO 27001, and more. Compliance Manager offers built-in assessments, recommended actions, and documentation capabilities to streamline compliance efforts and improve overall data protection and governance practices.

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7
Q

Knowledge Center

A

Azure Knowledge Center: A centralized online resource provided by Microsoft Azure, offering a wide range of documentation, tutorials, best practices, and troubleshooting guides for Azure services and solutions. It serves as a comprehensive knowledge base for developers, IT professionals, and organizations looking to learn about Azure, address technical challenges, and stay updated on the latest developments and innovations in cloud computing.

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8
Q

Tags

A

Azure Tags: Key-value pairs that you can apply to Azure resources to logically organize and categorize them for better management, tracking, and billing purposes. Tags provide additional metadata that helps you easily identify, search, and filter resources within your Azure environment. They are commonly used for cost allocation, resource grouping, access control, and automation tasks.

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9
Q

ExpressRoute

A

Azure ExpressRoute: A Microsoft Azure service that provides dedicated, private, high-throughput network connectivity between on-premises datacenters and Azure datacenters or Microsoft cloud services, such as Azure Virtual Networks, Azure Blob Storage, and Azure SQL Database. ExpressRoute offers more reliable and predictable network performance compared to public internet connections, with enhanced security and isolation options. It enables organizations to extend their on-premises networks into the Microsoft cloud, facilitating hybrid cloud scenarios, data migration, and enterprise-grade connectivity for mission-critical workloads.

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10
Q

Consumption Based Plan

A

Azure Consumption-Based Plan: A pricing model offered by Microsoft Azure where customers pay for cloud services based on their actual usage rather than committing to a fixed amount of resources or predefined capacity. This pay-as-you-go approach allows organizations to scale resources up or down according to demand, providing flexibility and cost efficiency. It is suitable for workloads with variable usage patterns or for organizations seeking to avoid upfront investments in infrastructure.

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11
Q

AZcopy

A

Azure AzCopy: A command-line utility provided by Microsoft Azure for copying data to and from Azure storage accounts. It supports efficient, high-performance data transfer operations, including copying files, folders, and blobs, as well as transferring data between Azure Blob Storage, Azure Files, and Azure Data Lake Storage. AzCopy offers features such as parallelism, resiliency, and bandwidth throttling to optimize data transfer performance and reliability, making it a versatile tool for data migration, backup, and synchronization tasks in Azure environments.

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12
Q

Azurre Storage Explorer

A

Azure Storage Explorer: A graphical user interface (GUI) tool provided by Microsoft for managing and interacting with Azure storage services. It allows users to easily view, upload, download, and manage data stored in Azure Blob Storage, Azure Files, Azure Queue Storage, and Azure Table Storage. Azure Storage Explorer provides a user-friendly interface for performing common storage operations, such as creating containers, setting access permissions, and monitoring storage metrics, making it a convenient tool for developers, administrators, and data engineers working with Azure storage resources.

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13
Q

Azure RBAC

A

Azure RBAC (Role-Based Access Control): A security model provided by Microsoft Azure for managing access to Azure resources. It allows administrators to grant permissions to users, groups, or applications based on their assigned roles, rather than assigning permissions directly to individual users. Azure RBAC offers built-in roles with pre-defined sets of permissions, such as Owner, Contributor, and Reader, as well as custom roles for fine-grained access control. This enables organizations to enforce the principle of least privilege and establish granular access policies to protect sensitive data and resources within their Azure environments.

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14
Q

Conditional Access

A

Azure Conditional Access: A feature of Microsoft Azure Active Directory (Azure AD) that allows organizations to enforce access controls and security policies based on specific conditions and criteria. It enables administrators to define access rules based on factors such as user identity, device health, location, and session risk, and dynamically grant or deny access to Azure and Microsoft 365 resources accordingly. Azure Conditional Access helps organizations enhance security posture by implementing context-aware access policies that adapt to real-time risk factors and user behaviors, thereby reducing the risk of unauthorized access and data breaches.

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15
Q

Azure Functions

A

Azure Functions: A serverless compute service provided by Microsoft Azure that allows developers to build and deploy event-driven, scalable, and pay-per-use functions or applications without managing infrastructure. Azure Functions enables developers to write code in various programming languages such as C#, Java, JavaScript, Python, and PowerShell, and trigger them in response to events from Azure services, third-party services, or custom triggers. It supports a wide range of integration options, including Azure services, HTTP triggers, message queues, timers, and more, making it suitable for various use cases such as data processing, IoT, web APIs, and automation tasks.

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16
Q

Azure AD Identity Protection AIP

A

Azure AD Identity Protection (AIP): A security service provided by Microsoft Azure Active Directory (Azure AD) that helps organizations safeguard user identities and prevent identity-based attacks. Azure AD Identity Protection uses machine learning algorithms and anomaly detection capabilities to analyze user sign-ins, authentication attempts, and other signals to identify potential security risks such as compromised accounts, unusual sign-in locations, and suspicious activities. It provides real-time risk detection, remediation recommendations, and automated responses to mitigate security threats and protect sensitive data.

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17
Q

Azure Market Place

A

Azure Marketplace: An online store provided by Microsoft Azure that offers a wide range of certified, pre-configured solutions and services from Microsoft and third-party vendors. Azure Marketplace enables customers to discover, purchase, deploy, and manage software applications, virtual machines, templates, and other resources directly within the Azure portal. It provides a convenient platform for finding and deploying solutions for various use cases, including infrastructure deployment, application development, security, analytics, and more, accelerating time-to-value for Azure customers.

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18
Q

Resource Groups

A

Azure Resource Group: A logical container within Microsoft Azure that holds related Azure resources, such as virtual machines, storage accounts, web apps, and databases. Resource groups are used to manage and organize resources for a specific application, project, or environment, providing a unified management scope for tasks such as provisioning, monitoring, billing, and access control. By grouping resources together, administrators can manage them collectively, apply common policies and permissions, and streamline resource management operations, making it easier to deploy, monitor, and maintain Azure solutions.

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19
Q

Azure Resource Manager ARM

A

Azure ARM (Azure Resource Manager): The deployment and management service provided by Microsoft Azure for organizing and managing Azure resources. Azure ARM enables users to provision, update, and delete Azure resources in a declarative manner using JSON templates called Azure Resource Manager templates. It provides a unified API endpoint for interacting with Azure resources and offers features such as resource grouping, role-based access control (RBAC), tagging, and resource locks for managing resources at scale. Azure ARM simplifies resource management, automates deployment processes, and enables consistent management and governance of Azure resources across hybrid and multi-cloud environments.

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20
Q

Azure DevTest labs

A

Azure DevTest Labs: A service provided by Microsoft Azure that enables developers and IT professionals to quickly create, manage, and allocate development and testing environments in the cloud. Azure DevTest Labs allows users to provision virtual machines, containers, and other resources using reusable templates, automate environment setup with custom scripts, and control costs by setting quotas and policies. It provides features such as self-service provisioning, integration with Azure DevOps, scheduling, and auto-shutdown to streamline development and testing workflows, improve collaboration, and optimize resource utilization.

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21
Q

Azure virtual network

A

Azure Virtual Network: A logically isolated network infrastructure provided by Microsoft Azure, allowing users to create and manage private networks in the cloud. Azure Virtual Network enables users to define their own IP address space, subnets, and routing tables, and connect Azure resources securely to each other, to on-premises networks, and to the internet. It provides features such as network security groups, virtual private network (VPN) gateways, and Azure Bastion for secure connectivity and access control. Azure Virtual Network is commonly used to host virtual machines, containers, and other network-enabled services, providing a scalable and flexible networking solution for various cloud deployments.

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22
Q

Microsoft 365 Compliance Admin Center

A

Azure Microsoft 365 Compliance Center: A centralized portal provided by Microsoft for managing compliance-related activities and controls across Microsoft 365 services. It offers a comprehensive set of tools and features for assessing, protecting, and governing data in compliance with regulatory requirements and organizational policies. The Microsoft 365 Compliance Center includes capabilities such as data loss prevention (DLP), eDiscovery, information protection, insider risk management, compliance score, and compliance reports. It provides a unified dashboard for monitoring compliance posture, implementing controls, and responding to compliance-related incidents, helping organizations protect sensitive data and meet regulatory obligations effectively.

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23
Q

Professional Direct Support Plan

A

Azure Professional Direct Support Plan: A support offering provided by Microsoft Azure that provides direct access to Azure technical experts for personalized assistance and guidance. With the Professional Direct Support Plan, customers receive 24/7 access to Azure engineers via phone, chat, or email for assistance with Azure services, architecture design, troubleshooting, and best practices. This plan includes personalized advisory services, proactive monitoring and alerts, and prioritized response times to help customers maximize the performance, reliability, and security of their Azure deployments.

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24
Q

Azure Blob Storage

A

Azure Blob Storage: A scalable object storage service provided by Microsoft Azure for storing large amounts of unstructured data such as documents, images, videos, and logs. Azure Blob Storage offers high availability, durability, and security for data storage in the cloud, with options for hot, cool, and archive storage tiers to optimize cost and performance based on access frequency. It provides features such as versioning, encryption, access control, and integration with other Azure services, making it suitable for various use cases such as backup, content delivery, data lake storage, and application data storage.

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25
Q

Azure StorageV2

A

Azure StorageV2: An updated version of Azure Storage that provides enhanced performance, scalability, and features compared to the original Azure Storage (now referred to as Azure StorageV1). Azure StorageV2 includes capabilities such as larger storage account capacity limits, higher throughput, and support for newer storage services such as Azure Blob Storage, Azure Files, Azure Queue Storage, and Azure Table Storage. It also offers features like storage analytics, soft delete, immutable storage, and Azure AD integration for enhanced security and compliance. Azure StorageV2 is designed to meet the evolving storage needs of modern cloud applications and workloads.

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26
Q

Block Blob storage

A

Azure Block Blob Storage: A type of storage provided by Microsoft Azure that is optimized for storing large amounts of unstructured data, such as documents, images, videos, and backups, as individual blobs. Block blobs are comprised of blocks of data that can be individually managed and accessed, offering flexibility and efficiency for data storage and retrieval. Azure Block Blob Storage provides features such as high availability, durability, scalability, and tiered storage options to optimize performance and cost based on access patterns. It is commonly used for a wide range of use cases, including media streaming, content delivery, backup and archival, and application data storage in the cloud.

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27
Q

Azure File Shares

A

Azure File Shares: A cloud-based file storage service provided by Microsoft Azure that allows users to create and manage fully managed file shares in the cloud. Azure File Shares enables organizations to store and share files with applications running in Azure, on-premises environments, or with remote users over the internet using the Server Message Block (SMB) protocol. It offers features such as scalability, high availability, integration with Active Directory for secure authentication and access control, and support for both Windows and Linux environments. Azure File Shares is suitable for various use cases, including file sharing, application data storage, and content collaboration in distributed environments.

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28
Q

Azure Machine Learning

A

Azure Machine Learning: A cloud-based service provided by Microsoft Azure that enables data scientists and developers to build, train, deploy, and manage machine learning models at scale. Azure Machine Learning offers a comprehensive set of tools and capabilities for the entire machine learning lifecycle, including data preparation, model training, hyperparameter tuning, model deployment, and monitoring. It supports various machine learning frameworks and programming languages, such as Python and R, and provides integration with popular tools like Jupyter Notebooks and Visual Studio Code. Azure Machine Learning simplifies the process of developing and operationalizing machine learning solutions, empowering organizations to leverage AI technologies to drive business value and innovation.

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29
Q

Azure Synapse Analytics

A

Azure Synapse Analytics: A cloud-based analytics service provided by Microsoft Azure that enables organizations to analyze and derive insights from large volumes of data across various sources and formats. Azure Synapse Analytics integrates big data and data warehousing capabilities into a unified platform, allowing users to perform data integration, data preparation, data warehousing, big data analytics, and business intelligence (BI) tasks in a single environment. It provides features such as scalable data storage, built-in data processing engines, SQL and Apache Spark query capabilities, machine learning integration, and Power BI integration for interactive data visualization. Azure Synapse Analytics empowers organizations to streamline data analytics workflows, accelerate time-to-insight, and drive data-driven decision-making across the enterprise.

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30
Q

Azure Policies

A

Azure Policies: A service in Microsoft Azure that allows organizations to enforce compliance and governance requirements across their Azure resources. Azure Policies enable administrators to define and apply rules and regulations for resource configuration and management, ensuring that resources adhere to organizational standards, security baselines, and regulatory requirements. Policies are defined using JSON-based syntax and can be applied at the subscription, resource group, or individual resource level. They can enforce various constraints, such as requiring specific tags, disallowing certain resource types, or enforcing encryption settings. Azure Policies help organizations maintain consistency, security, and compliance across their Azure environments.

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31
Q

Azure Spot Virtual Machine Instances

A

Azure Spot Virtual Machine Instances: A purchasing option provided by Microsoft Azure that allows customers to take advantage of unused Azure compute capacity at significantly discounted prices. With Azure Spot VMs, users can run virtual machine workloads at a fraction of the cost of regular pay-as-you-go or reserved instances, making them ideal for workloads that are flexible about when they run, such as batch processing, development and testing, and fault-tolerant applications. However, Spot VMs are subject to interruption if Azure needs to reclaim the capacity for other purposes, so they are not suitable for workloads that require continuous uptime or strict SLAs.

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32
Q

OpEx

A

OpEx: Operating expenses, commonly referred to as OpEx, are the ongoing costs incurred by a business or organization in the day-to-day operation of its core activities. These expenses are necessary for maintaining business operations and are typically recurring and short-term in nature. Examples of operating expenses include rent, utilities, salaries, marketing expenses, office supplies, and maintenance costs. Unlike capital expenditures (CapEx), which involve investments in assets or projects with long-term benefits, operating expenses are recorded on the income statement and are deducted from revenue to calculate the net income or profit of a business.

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33
Q

CapEx

A

CapEx: Capital expenditures, often abbreviated as CapEx, refer to the funds invested by a business or organization in acquiring, upgrading, or maintaining physical assets or long-term projects that are expected to provide benefits over an extended period. These expenditures typically involve significant upfront costs and contribute to the expansion, improvement, or modernization of the business. Examples of capital expenditures include purchases of property, equipment, machinery, vehicles, buildings, and investments in infrastructure or research and development projects. Unlike operating expenses (OpEx), which are incurred for day-to-day operations and are expensed immediately, capital expenditures are recorded as assets on the balance sheet and are typically depreciated or amortized over their useful lives.

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34
Q

Azure AD Device Managment

A

Azure AD Device Management: A set of capabilities provided by Microsoft Azure Active Directory (Azure AD) for managing and securing devices that access organizational resources. Azure AD Device Management enables administrators to enroll devices into Azure AD, apply security policies, control access to resources based on device compliance, and manage device configurations remotely.

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35
Q

Azure DNS

A

Azure DNS (Domain Name System): A cloud-based DNS hosting service provided by Microsoft Azure that enables organizations to manage and resolve domain names for their Azure-hosted resources. Azure DNS provides a scalable, reliable, and high-performance DNS solution, allowing users to create and manage DNS zones, record types (such as A, AAAA, CNAME, MX, TXT, and SRV records), and custom domain names. It offers features such as automatic DNS zone replication, DNSSEC (DNS Security Extensions) support, and integration with Azure services for seamless DNS management within Azure environments. Azure DNS simplifies the process of domain name management and resolution, enabling organizations to effectively route traffic to their applications and services hosted on Azure.

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36
Q

Azure Monitor

A

Azure Monitor: A comprehensive monitoring and analytics service provided by Microsoft Azure for collecting, analyzing, and acting on telemetry data generated by Azure resources and applications. Azure Monitor enables organizations to gain insights into the performance, availability, and health of their Azure deployments, helping them identify and troubleshoot issues, optimize resource utilization, and improve the overall reliability of their applications and services. It offers features such as metrics collection, logs monitoring, alerts, dashboards, and integration with other Azure services for advanced analytics and automation. Azure Monitor provides a centralized platform for monitoring and managing the entire Azure ecosystem, empowering organizations to proactively monitor and optimize their cloud environments.

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37
Q

Azure Advisor

A

Azure Advisor: A cloud-based service provided by Microsoft Azure that offers personalized recommendations to help optimize Azure resources for better performance, security, reliability, and cost efficiency. Azure Advisor analyzes the configuration and usage of Azure resources and provides actionable insights and best practices based on industry standards and Azure best practices.

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38
Q

Azure VPN Gateway

A

Azure VPN Gateway: A networking service provided by Microsoft Azure that enables secure communication between Azure virtual networks and on-premises networks or remote client devices over the public internet. Azure VPN Gateway allows organizations to establish site-to-site VPN connections to connect Azure virtual networks with on-premises datacenters or offices, as well as point-to-site VPN connections to provide remote access to Azure resources for individual users or devices. It supports various VPN protocols such as IKEv2, SSTP, and OpenVPN, and provides features such as encryption, authentication, and traffic routing to ensure secure and reliable connectivity. Azure VPN Gateway is commonly used for extending on-premises networks to Azure, enabling hybrid cloud scenarios, remote access solutions, and secure communication between distributed environments.

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39
Q

AzureArc

A

Azure Arc: A service provided by Microsoft Azure that extends Azure management and services to any infrastructure, enabling organizations to manage, govern, and secure resources across on-premises, multi-cloud, and edge environments from a single control plane. Azure Arc allows users to bring Azure services such as Azure Policy, Azure Monitor, and Azure Security Center to resources running outside of Azure, including virtual machines, Kubernetes clusters, and SQL Server instances. It provides centralized management, consistent governance, and unified security across distributed environments, enabling organizations to leverage the benefits of Azure services wherever their resources are located. Azure Arc simplifies hybrid and multi-cloud management, enabling organizations to adopt cloud-native practices and drive innovation across their infrastructure.

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40
Q

DNSSEC

A

Azure DNSSEC: A feature provided by Microsoft Azure that enables customers to enhance the security of their domain name system (DNS) infrastructure by implementing DNS Security Extensions (DNSSEC) for their DNS zones hosted in Azure DNS. DNSSEC is a suite of security extensions that adds cryptographic signatures to DNS records, helping prevent DNS spoofing, cache poisoning, and other types of DNS-based attacks. With Azure DNSSEC, customers can enable DNSSEC for their DNS zones with just a few clicks, and Azure DNS takes care of signing the DNS records and managing the cryptographic keys required for DNSSEC validation. This helps improve the trustworthiness and integrity of DNS resolution for domain names hosted in Azure DNS.

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41
Q

Azure Free Account

A

Azure Free Account: A promotional offering provided by Microsoft Azure that allows users to explore and test Azure services and resources at no cost for a limited period. Azure Free Account provides users with a certain amount of Azure credits to use towards eligible services and resources, as well as access to a selection of popular Azure services for free for 12 months. The Free Account includes features such as free virtual machines, storage, databases, and more, enabling users to build and deploy applications, learn new skills, and evaluate Azure’s capabilities without incurring any charges. Once the free period expires or the credits are exhausted, users can choose to upgrade to a paid Azure subscription to continue using Azure services.

42
Q

Azure Private Cloud

A

Azure Private Cloud: A cloud deployment model provided by Microsoft Azure that enables organizations to create and manage a dedicated, isolated cloud environment for their exclusive use. Azure Private Cloud offers the benefits of cloud computing, such as scalability, flexibility, and pay-as-you-go pricing, while providing enhanced security, control, and compliance capabilities compared to public cloud deployments. It allows organizations to run their applications and workloads in a private, controlled environment, either on-premises or in a dedicated hosted environment, while still leveraging the capabilities and services of the Azure cloud platform. Azure Private Cloud is suitable for organizations with strict security and compliance requirements or those seeking to maintain greater control over their cloud infrastructure and data.

43
Q

Azure Cosmos DB

A

Azure Cosmos DB: A globally distributed, multi-model database service provided by Microsoft Azure that enables developers to build highly scalable, low-latency applications with guaranteed high availability and consistency. Azure Cosmos DB supports multiple data models including document, key-value, graph, and column-family, allowing developers to choose the most appropriate data model for their applications. It offers features such as automatic and elastic scaling, global distribution, multi-master replication, comprehensive SLAs, and integration with popular development frameworks and tools. Azure Cosmos DB is suitable for a wide range of use cases such as web and mobile applications, IoT solutions, gaming, and real-time analytics, where high performance, low latency, and global reach are critical requirements.

44
Q

Azure Public Cloud

A

Azure Public Cloud: A cloud computing model provided by Microsoft Azure that delivers computing services—such as virtual machines, storage, databases, networking, and more—over the public internet to customers on a pay-as-you-go basis. Azure Public Cloud allows organizations to leverage shared resources and infrastructure hosted by Microsoft in data centers located around the world, providing scalability, flexibility, and cost efficiency for running applications and workloads

45
Q

Zone Redundant Storage ZRS

A

Azure Zone-Redundant Storage (ZRS): A storage replication option provided by Microsoft Azure that ensures high durability and availability of data by replicating it across multiple availability zones within an Azure region. With Azure Zone-Redundant Storage, data is redundantly stored across three availability zones, each housed in separate physical locations with independent power, cooling, and networking infrastructure.

46
Q

Geo Zone Redundant Storage GZRS

A

Azure Geo-Zone Redundant Storage (GZRS): A storage replication option provided by Microsoft Azure that ensures high durability and availability of data by replicating it across multiple data centers within a geographic region. With Azure Geo-Zone Redundant Storage, data is redundantly stored across three Azure availability zones, each located in separate physical locations within the same Azure region. Additionally, GZRS replicates data asynchronously to another Azure region, providing protection against region-wide outages or disasters. This ensures that data remains accessible even in the event of an entire Azure region becoming unavailable. Azure Geo-Zone Redundant Storage is suitable for mission-critical workloads and applications that require high resilience and disaster recovery capabilities.

47
Q

Local Redundant Storage LRS

A

Azure Local Redundant Storage (LRS): A storage replication option provided by Microsoft Azure that ensures redundancy and high availability of data within a single Azure datacenter. With Azure Local Redundant Storage, data is redundantly stored multiple times within the same datacenter, providing durability and protection against hardware failures.

48
Q

Azure CLI

A

Azure CLI (Command-Line Interface): A cross-platform command-line tool provided by Microsoft Azure for managing Azure resources and services from the command line or scripts. Azure CLI allows users to perform a wide range of operations, such as creating and managing virtual machines, storage accounts, databases, networking resources, and more, using simple and intuitive commands

49
Q

Azure Resource Manager Templates

A

Azure Resource Manager (ARM) Templates: JSON-based templates used in Microsoft Azure for declarative provisioning and management of Azure resources. Azure Resource Manager Templates describe the desired state of Azure resources and their configurations, allowing users to define infrastructure as code and automate the deployment and management of resources in a consistent and repeatable manner.

50
Q

Azure Trust Center

A

Azure Trust Center: A centralized hub provided by Microsoft Azure that offers comprehensive information and resources related to security, privacy, compliance, and transparency of Azure services and cloud infrastructure. The Azure Trust Center provides customers with access to a wide range of resources, including compliance certifications, audit reports, security best practices, privacy policies, and data protection features.

51
Q

Geo Redundant Storage GRS

A

Azure GRS: An abbreviation for Azure Geo-Redundant Storage, a replication option provided by Microsoft Azure for ensuring data durability and availability across multiple Azure regions. With Azure GRS, data is asynchronously replicated to a secondary region, located hundreds of miles away from the primary region, providing protection against regional outages or disasters.

52
Q

Azure Cool Access Tier

A

Azure Cool Access Tier: A storage access tier provided by Microsoft Azure Blob Storage that offers lower storage costs for data that is accessed infrequently or stored for long-term retention.

53
Q

Azure Hot Access Tier

A

Azure Hot Access Tier: A storage access tier provided by Microsoft Azure Blob Storage that offers higher storage costs compared to the Cool Access Tier but provides faster access to frequently accessed data. With the Hot Access Tier, data is stored on high-performance storage media optimized for quick retrieval and low-latency access. The Hot Access Tier is suitable for data that is accessed frequently or requires low-latency access, such as active workloads, frequently accessed files, and data used in real-time analytics or applications.

54
Q

Azure Achive Access Tier

A

Azure Archive Access Tier: A storage access tier provided by Microsoft Azure Blob Storage that offers the lowest storage costs for data that is rarely accessed and stored for long-term retention. With the Archive Access Tier, data is stored on the most cost-effective storage media, optimized for long-term durability and archival purposes. This tier is suitable for data that is accessed infrequently and does not require immediate access, such as compliance data, historical records, and backup archives.

55
Q

Network Security Group NSG

A

Azure NSG: An abbreviation for Azure Network Security Group, a fundamental component of network security in Microsoft Azure that allows users to control inbound and outbound traffic to Azure resources. Azure NSGs act as a virtual firewall, enabling users to define rules that allow or deny traffic based on factors such as source IP address, destination IP address, port number, and protocol. These rules can be applied to individual virtual machines, subnets, or network interfaces, providing granular control over network traffic within Azure virtual networks. Azure NSGs are commonly used to enforce network segmentation, restrict access to sensitive resources, and enhance the security posture of Azure deployments by implementing least privilege access controls and network security policies.

56
Q

Azure ExpressRoute

A

Azure ExpressRoute: A service provided by Microsoft Azure that enables organizations to establish private, high-throughput network connections between their on-premises datacenters or network environments and Azure datacenters. Azure ExpressRoute offers dedicated, private connections, allowing organizations to extend their on-premises networks into Azure, bypassing the public internet and providing a more reliable and predictable network experience

57
Q

Azure APIs

A

Azure APIs: Application Programming Interfaces (APIs) provided by Microsoft Azure that enable developers to interact with and manage Azure services programmatically. Azure APIs allow developers to automate tasks, integrate Azure services into custom applications, and build cloud-native solutions using popular programming languages and frameworks such as .NET, Java, Python, and JavaScript.

58
Q

Azure Data Factory

A

Azure Data Factory: A cloud-based data integration service provided by Microsoft Azure that allows users to create, schedule, and orchestrate data workflows for ingesting, transforming, and processing data from various sources. Azure Data Factory enables organizations to build data pipelines that automate the movement and transformation of data across on-premises and cloud-based data stores, databases, and analytics services. It provides a visual interface for designing data pipelines using drag-and-drop tools and offers support for a wide range of data integration tasks, including data ingestion, data transformation, data movement, and data loading. Azure Data Factory integrates with other Azure services such as Azure Blob Storage, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse Analytics, enabling organizations to build end-to-end data integration and analytics solutions on the Azure platform.

59
Q

Azure IoT Hub

A

Azure IoT Hub: A fully managed service provided by Microsoft Azure for connecting, monitoring, and managing Internet of Things (IoT) devices at scale. Azure IoT Hub acts as the central hub for bi-directional communication between IoT devices and cloud-based applications, enabling devices to send telemetry data, receive commands, and facilitate device management operations. It provides features such as device provisioning, authentication, message routing, device-to-cloud and cloud-to-device messaging, and integration with other Azure services for data storage, analytics, and visualization. Azure IoT Hub enables organizations to securely connect and manage millions of IoT devices, analyze real-time data streams, and build scalable IoT solutions for various industries and use cases, such as industrial automation, smart cities, healthcare, and predictive maintenance

60
Q

Azure Bot Services

A

Azure Bot Services: A cloud-based service provided by Microsoft Azure that enables developers to build, deploy, and manage intelligent conversational bots for various channels such as web, mobile, Microsoft Teams, Slack, and more. Azure Bot Services provides a scalable and secure platform for developing bots using various programming languages such as C#, Node.js, and Python, and frameworks like Bot Framework SDK. It offers features such as natural language understanding (NLU), dialog management, integration with Azure Cognitive Services for speech recognition and language understanding, and built-in connectors for seamless integration with messaging platforms and channels. Azure Bot Services simplifies the process of building and deploying conversational AI solutions, enabling organizations to create intelligent bots that automate customer interactions, improve productivity, and enhance user experiences.

61
Q

Web Tier Support Plans

A

Basic Support: Basic support provides access to online documentation, forums, and limited technical support during business hours.
Developer Support: Developer support offers technical support via email for Azure platform-related questions, with a response time of one business day. It also provides access to support resources and tools.
Standard Support: Standard support includes technical support via email and phone for critical issues, with a response time of less than one hour. It also offers 24/7 access to customer service and Azure experts, proactive monitoring, and management of support tickets.
Professional Direct Support: Professional Direct Support provides direct access to Azure engineers via phone, chat, or email for personalized assistance and guidance. It offers 24/7 support, prioritized response times, and proactive monitoring and alerts.
Premier Support: Premier Support is a comprehensive support offering that provides personalized support from a dedicated team of Azure experts. It includes proactive services, technical advisory services, and customized support plans tailored to the specific needs of the organization.

62
Q

Azure Migrate

A

Azure Migrate: A service provided by Microsoft Azure that enables organizations to assess, plan, and migrate their on-premises workloads to Azure cloud infrastructure. Azure Migrate provides a centralized hub for discovering on-premises resources, assessing their readiness for migration, and performing workload migration to Azure. It offers features such as discovery and assessment of VMware, Hyper-V, and physical servers, dependency mapping, performance-based sizing recommendations, and compatibility checks for Azure services. Azure Migrate helps organizations streamline the migration process, reduce risks, and optimize resource utilization by providing insights and recommendations to plan and execute successful migrations to Azure.

63
Q

Azure Databricks

A

Azure Databricks: A fast, easy, and collaborative Apache Spark-based analytics platform provided by Microsoft Azure that enables organizations to accelerate big data analytics and machine learning workloads. Azure Databricks integrates Apache Spark with a cloud-native platform, offering features such as automated cluster management, interactive notebooks, data exploration, collaboration tools, and enterprise-grade security. It provides a unified environment for data engineers, data scientists, and analysts to work together on data preparation, exploration, analysis, and model development tasks. Azure Databricks supports various programming languages and frameworks, including Python, Scala, SQL, and R, and offers seamless integration with Azure services such as Azure Blob Storage, Azure Data Lake Storage, Azure Synapse Analytics, and Azure Machine Learning. It enables organizations to leverage the power of Apache Spark for scalable data processing and analytics, accelerating time-to-insight and driving innovation in data-driven decision-making.

64
Q

Azure Data Box

A

Azure Data Box: A family of physical appliances provided by Microsoft Azure that enables organizations to securely transfer large amounts of data to and from Azure cloud storage. Azure Data Box devices are rugged, portable, and purpose-built for data migration, offering high-speed data transfer and encryption capabilities to ensure the security and integrity of data during transit. There are several types of Azure Data Box devices, including Azure Data Box Disk, Azure Data Box, and Azure Data Box Heavy, each designed for different use cases and data transfer scenarios. These devices allow organizations to overcome bandwidth limitations, latency issues, and security concerns associated with transferring large volumes of data over the internet, enabling faster and more efficient data migration to Azure cloud storage.

65
Q

Azure SQL Database

A

Azure SQL Database: A fully managed relational database service provided by Microsoft Azure that enables organizations to build, deploy, and manage cloud-based applications with ease. Azure SQL Database is based on the Microsoft SQL Server database engine, offering built-in intelligence, security, and scalability features tailored for cloud environments. It provides features such as automatic patching, backups, high availability, and performance tuning, eliminating the need for manual database management tasks. Azure SQL Database supports various deployment options, including single databases, elastic pools, and managed instances, allowing organizations to choose the deployment model that best fits their application requirements. It also offers integration with Azure services such as Azure Active Directory, Azure Monitor, and Azure Key Vault, enabling seamless integration and management of cloud-native applications. Azure SQL Database is suitable for a wide range of use cases, from small-scale applications to large-scale enterprise workloads, and provides predictable performance, high availability, and enterprise-grade security for mission-critical data and applications.

66
Q

Azure Synapse Analytics

A

Azure Synapse Analytics: A cloud-based analytics service provided by Microsoft Azure that enables organizations to analyze and derive insights from large volumes of data across various sources and formats. Azure Synapse Analytics integrates big data and data warehousing capabilities into a unified platform, allowing users to perform data integration, data preparation, data warehousing, big data analytics, and business intelligence (BI) tasks in a single environment. It provides features such as scalable data storage, built-in data processing engines, SQL and Apache Spark query capabilities, machine learning integration, and Power BI integration for interactive data visualization. Azure Synapse Analytics empowers organizations to streamline data analytics workflows, accelerate time-to-insight, and drive data-driven decision-making across the enterprise.

67
Q

Azure Data Lake Analytics

A

Azure Data Lake Analytics: A cloud-based analytics service provided by Microsoft Azure that allows organizations to perform big data analytics and processing on large volumes of structured and unstructured data stored in Azure Data Lake Storage. Azure Data Lake Analytics provides a serverless platform for running distributed analytics jobs using Apache Hadoop and Apache Spark clusters without the need for infrastructure management. It enables users to write and execute scalable, parallelized data processing jobs using familiar languages and frameworks such as U-SQL, Python, and .NET, and supports integration with popular development tools such as Visual Studio and Visual Studio Code. Azure Data Lake Analytics offers features such as automatic scaling, job monitoring, and built-in connectors for data ingestion and integration, enabling organizations to analyze and derive insights from diverse data sources at scale.

68
Q

Azure HDinsight

A

Azure HDInsight: A cloud-based big data analytics service provided by Microsoft Azure that enables organizations to deploy, manage, and scale Apache Hadoop, Spark, HBase, and other big data frameworks in the cloud. Azure HDInsight offers a fully managed platform for running open-source distributed computing frameworks, providing features such as automatic cluster provisioning, scaling, monitoring, and security.

69
Q

Azure Support Plans

A

Basic Support: Basic support provides access to online documentation, forums, and limited technical support during business hours.
Developer Support: Developer support offers technical support via email for Azure platform-related questions, with a response time of one business day. It also provides access to support resources and tools.
Standard Support: Standard support includes technical support via email and phone for critical issues, with a response time of less than one hour. It also offers 24/7 access to customer service and Azure experts, proactive monitoring, and management of support tickets.
Professional Direct Support: Professional Direct Support provides direct access to Azure engineers via phone, chat, or email for personalized assistance and guidance. It offers 24/7 support, prioritized response times, and proactive monitoring and alerts.
Premier Support: Premier Support is a comprehensive support offering that provides personalized support from a dedicated team of Azure experts. It includes proactive services, technical advisory services, and customized support plans tailored to the specific needs of the organization.

70
Q

Azure Logic App

A

Azure Logic App: A cloud-based service provided by Microsoft Azure that allows users to automate workflows and integrate disparate systems, applications, and services across cloud and on-premises environments. Azure Logic Apps provide a visual designer and a rich set of pre-built connectors and templates, enabling users to create workflows by connecting various triggers and actions without writing code. These workflows can automate tasks such as data synchronization, file processing, event-driven processes, and business process automation. Azure Logic Apps support integration with a wide range of Azure services, SaaS applications, and custom APIs, enabling organizations to streamline business processes, improve productivity, and accelerate digital transformation initiatives.

71
Q

Azure Sentinel

A

A cloud-native security information and event management (SIEM) service provided by Microsoft Azure that enables organizations to detect, investigate, and respond to security threats across their hybrid environments. Azure Sentinel collects security data from various sources such as Azure resources, on-premises systems, third-party solutions, and Microsoft 365, and uses advanced analytics, artificial intelligence, and machine learning to identify and prioritize security incidents. It provides features such as real-time threat detection, proactive threat hunting, automated response actions, and customizable dashboards and reports for security operations teams. Azure Sentinel enables organizations to centralize security monitoring, improve threat detection capabilities, and streamline incident response processes, helping them protect their assets and data from cybersecurity threats effectively.

72
Q

Azure PIM

A

Azure Privileged Identity Management (PIM): A service provided by Microsoft Azure that helps organizations manage, control, and monitor access to privileged roles and resources within their Azure Active Directory (AAD) environment. Azure PIM allows organizations to discover, govern, and enforce just-in-time access for administrators and other privileged roles, reducing the risk of unauthorized access and helping to meet compliance requirements. It provides features such as role-based access control (RBAC), time-bound access, approval workflows, access reviews, and audit logs, enabling organizations to implement least privilege access principles and enforce security best practices for managing privileged identities. Azure PIM helps organizations improve their security posture, mitigate the risk of insider threats, and ensure compliance with regulatory standards by providing visibility and control over privileged access to critical resources.

73
Q

Azure Government

A

Azure Government is a cloud platform provided by Microsoft designed specifically to meet the unique and stringent requirements of government agencies, departments, and contractors in the United States. Azure Government delivers a physically isolated instance of Microsoft Azure that adheres to strict compliance standards and regulations, such as FedRAMP, CJIS, DoD Impact Levels 2, 4, and 5, ITAR, and IRS 1075. It provides a range of cloud services and capabilities tailored for government use cases, including compute, storage, networking, databases, artificial intelligence, and security services. Azure Government offers enhanced security controls, data protection features, and compliance certifications to help government organizations securely store, process, and manage sensitive data and workloads in the cloud. It enables government agencies to modernize their IT infrastructure, improve operational efficiency, and deliver citizen services more effectively while meeting regulatory requirements and ensuring data sovereignty.

74
Q

Azure Availability Zones

A

Azure Availability Zones are unique physical locations within an Azure region that are designed to provide high availability and resiliency for applications and data. Each Availability Zone is made up of one or more data centers equipped with independent power, cooling, and networking infrastructure to ensure fault tolerance and redundancy.

By distributing applications and data across multiple Availability Zones within the same region, organizations can achieve higher levels of fault tolerance and availability. In the event of a failure or outage in one Availability Zone, applications and services can automatically failover to resources in another Availability Zone without interruption, ensuring continuous operation and minimizing downtime.

Azure Availability Zones are ideal for mission-critical workloads and applications that require high availability, such as databases, web applications, virtual machines, and storage solutions. They enable organizations to design resilient architectures that can withstand hardware failures, network disruptions, and other unforeseen events, thereby ensuring business continuity and maintaining service levels for their users.

75
Q

Azure Cost Management

A

Cost Visibility: Gain visibility into Azure spending by tracking usage and costs across different Azure services, subscriptions, and resource groups. Azure Cost Management provides detailed insights and reports on resource consumption, spending trends, and cost drivers, helping organizations understand where their Azure dollars are being spent.
Budgeting and Forecasting: Set budgets and forecast future spending to proactively manage Azure costs and prevent overspending. Azure Cost Management allows organizations to define budget thresholds, receive alerts when spending exceeds budget limits, and forecast future spending based on historical usage patterns.
Cost Allocation and Chargeback: Allocate Azure costs to different departments, projects, or cost centers within the organization to facilitate chargeback or showback processes. Azure Cost Management supports tagging and labeling of resources, enabling organizations to track spending at a granular level and allocate costs accurately to internal stakeholders.
Cost Optimization: Identify cost-saving opportunities and optimize Azure spending to maximize return on investment (ROI). Azure Cost Management offers recommendations and best practices for optimizing resource utilization, rightsizing virtual machines, implementing cost-saving strategies such as reserved instances and Azure Hybrid Benefit, and eliminating waste.
Cost Reporting and Analysis: Generate customized reports and analyze cost data to gain insights into Azure spending patterns, trends, and cost drivers. Azure Cost Management provides interactive dashboards, charts, and graphs that allow organizations to explore cost data, identify outliers, and make data-driven decisions to optimize Azure spending.

76
Q

Azure DevTest Labs

A

Azure DevTest Labs provides a range of capabilities for creating, managing, and using development and testing environments in the cloud. Here are some key activities you can perform with Azure DevTest Labs:

Environment Provisioning: Quickly create and provision development and testing environments using pre-configured templates or custom virtual machine images. Azure DevTest Labs supports various operating systems and configurations, allowing users to create environments tailored to their specific needs.
Resource Management: Manage virtual machines, storage, and networking resources within DevTest Labs environments. Users can easily start, stop, and delete virtual machines, configure auto-shutdown policies to control costs, and manage resource quotas and policies to enforce governance and compliance requirements.
Self-Service Access: Provide self-service access to development and testing environments for teams or individuals. Azure DevTest Labs allows users to request and manage their own environments, enabling developers and testers to quickly get the resources they need without relying on central IT or administrative teams.
Sandbox Environments: Create isolated sandbox environments for experimentation, training, or learning purposes. Azure DevTest Labs provides a safe and controlled environment where users can test new software, experiment with different configurations, or learn new technologies without impacting production systems.
Integration with DevOps Tools: Integrate DevTest Labs with existing DevOps tools and workflows to streamline development and testing processes. Azure DevTest Labs integrates with Azure DevOps, GitHub, Jenkins, and other CI/CD tools, enabling seamless automation of environment provisioning, testing, and deployment tasks.
Cost Management: Monitor and optimize costs associated with development and testing environments. Azure DevTest Labs provides cost tracking and analysis tools, allowing users to monitor resource usage, identify cost-saving opportunities, and implement cost-saving measures such as auto-shutdown policies and reserved instances.
Overall, Azure DevTest Labs helps organizations accelerate software development and testing processes, improve collaboration between development and operations teams, and optimize infrastructure costs by providing on-demand, self-service access to scalable and cost-effective development and testing environments in the cloud.

77
Q

Azure Key Vault

A

Azure Key Vault is a cloud service provided by Microsoft Azure that allows organizations to securely store and manage cryptographic keys, secrets, certificates, and other sensitive information used by cloud applications and services. Here are some of the key functionalities and use cases of Azure Key Vault:

Secure Key Management: Azure Key Vault provides a centralized and secure repository for storing cryptographic keys used for encryption, decryption, signing, and authentication purposes. It allows organizations to generate, import, and manage keys, and provides hardware security module (HSM) support for enhanced security.
Secret Management: Azure Key Vault enables organizations to securely store and manage secrets, such as connection strings, passwords, API keys, and other sensitive information used by applications and services. It provides features for creating, accessing, and rotating secrets, and supports automatic renewal of certificates.
Certificate Management: Azure Key Vault allows organizations to manage digital certificates used for securing communications, authenticating users, and establishing trust between parties. It provides features for importing, storing, and renewing certificates, and supports integration with Azure services and applications.
Access Control and Permissions: Azure Key Vault offers fine-grained access control and permissions management to restrict access to keys, secrets, and certificates based on user roles and permissions. It integrates with Azure Active Directory (Azure AD) for authentication and authorization, enabling organizations to enforce security policies and audit access to sensitive data.
Integration with Azure Services: Azure Key Vault seamlessly integrates with other Azure services and resources, such as Azure Virtual Machines, Azure App Service, Azure Functions, Azure Kubernetes Service (AKS), and Azure SQL Database. It allows applications and services to securely access keys, secrets, and certificates stored in Key Vault without exposing sensitive information.
Compliance and Regulatory Requirements: Azure Key Vault helps organizations meet compliance and regulatory requirements, such as GDPR, HIPAA, PCI DSS, and ISO 27001, by providing a secure and compliant platform for storing and managing cryptographic keys, secrets, and certificates.
Overall, Azure Key Vault provides organizations with a secure and scalable solution for managing cryptographic keys, secrets, and certificates, enabling them to enhance the security posture of their cloud applications and services while maintaining compliance with regulatory standards and best practices.

78
Q

Azure Site Recovery

A

Azure Site Recovery: A disaster recovery service provided by Microsoft Azure that helps organizations protect and recover their on-premises and cloud-based workloads in the event of a disaster or outage. Azure Site Recovery enables replication, failover, and failback of virtual machines, physical servers, and Azure VMs between primary and secondary data centers or Azure regions. It provides continuous replication of data and applications, automated recovery orchestration, and recovery plan testing to ensure business continuity and minimize downtime during disasters or planned outages. Azure Site Recovery supports various replication scenarios, including on-premises to Azure, Azure to Azure, and cross-region replication, and integrates with other Azure services such as Azure Backup and Azure Monitor for enhanced data protection and monitoring capabilities. Overall, Azure Site Recovery helps organizations implement robust disaster recovery strategies, improve resilience, and maintain high availability for critical workloads and applications.

79
Q

Azure Policy initiative

A

An Azure Policy Initiative is a collection of Azure policies grouped together for ease of management and governance. It allows organizations to define and enforce sets of policies across their Azure environments to ensure compliance, security, and consistency.

Here are some key points about Azure Policy Initiatives:

Grouping Policies: Azure Policy Initiatives enable organizations to group related Azure policies together based on their requirements, such as compliance standards, security controls, or organizational guidelines.
Scoping: Policy Initiatives can be scoped at different levels within an Azure hierarchy, including management groups, subscriptions, resource groups, and individual resources. This allows organizations to apply policies at the appropriate level based on their governance needs.
Hierarchical Structure: Azure Policy Initiatives support a hierarchical structure, where initiatives can contain other initiatives, allowing for nested policy definitions and inheritance of policies across different levels of the Azure hierarchy.
Enforcement: Azure Policy Initiatives enforce compliance by evaluating resources against the defined set of policies. They can automatically remediate non-compliant resources or enforce manual remediation actions based on organizational requirements.
Visibility and Reporting: Azure Policy Initiatives provide visibility into compliance status and policy enforcement across Azure environments. Organizations can use built-in reporting tools and dashboards to monitor compliance, track policy violations, and generate audit reports.
Overall, Azure Policy Initiatives help organizations establish and maintain governance controls, enforce compliance standards, and ensure consistent management of resources across their Azure environments. They play a crucial role in implementing a comprehensive governance framework and mitigating risks associated with cloud deployments.

80
Q

Azure Firewall

A

Azure Firewall is a managed, cloud-based network security service provided by Microsoft Azure that helps organizations protect their Azure Virtual Network (VNet) resources from threats and unauthorized access. Here’s what Azure Firewall does to protect:

Perimeter Security: Azure Firewall acts as a perimeter defense, filtering traffic entering and leaving the Azure Virtual Network. It provides a secure boundary for internet-bound traffic, preventing unauthorized access and blocking malicious threats before they reach resources within the VNet.
Application Layer Filtering: Azure Firewall inspects and filters traffic at the application layer (Layer 7) of the OSI model, allowing organizations to define and enforce fine-grained access controls based on application protocols, URLs, and content types. This enables organizations to enforce security policies and restrict access to specific applications and services.
Stateful Inspection: Azure Firewall performs stateful packet inspection, tracking the state of network connections and allowing only authorized traffic to pass through. It maintains session state information and enforces security policies based on the context of each connection, helping to prevent attacks such as session hijacking and packet spoofing.
Threat Intelligence Integration: Azure Firewall integrates with threat intelligence feeds and security services to provide up-to-date protection against known threats and emerging security risks. It leverages threat intelligence data to identify and block malicious IP addresses, domains, and URLs, reducing the risk of attacks such as malware infections and phishing attempts.
Logging and Monitoring: Azure Firewall generates detailed logs and telemetry data for all network traffic, including allowed and denied connections, security rule matches, and threat detection events. Organizations can use built-in logging and monitoring features to analyze network activity, investigate security incidents, and maintain compliance with regulatory requirements.
Overall, Azure Firewall helps organizations enhance the security posture of their Azure Virtual Networks by providing centralized network security controls, real-time threat detection, and advanced security features to protect against a wide range of cyber threats and attacks.

81
Q

Azure application gateway

A

Azure Application Gateway is a Layer 7 (Application Layer) load balancer and web traffic manager provided by Microsoft Azure. It offers various features and functionalities to optimize the delivery, scalability, and security of web applications. Here’s an overview of Azure Application Gateway:

82
Q

Advisor Recommendations

A

Azure Advisor is a cloud-based service in Microsoft Azure that provides personalized recommendations to help optimize your Azure resources for cost, performance, security, and reliability. Here’s how Azure Advisor Recommendations work:

Data Collection: Azure Advisor continuously collects and analyzes data from your Azure subscriptions, including resource configuration, usage patterns, performance metrics, and best practices.
Analysis: Azure Advisor uses machine learning algorithms and heuristics to analyze the collected data and identify opportunities for improvement across various aspects of your Azure environment, such as cost optimization, performance optimization, security posture, and reliability.
Recommendations: Based on the analysis of your Azure resources and usage patterns, Azure Advisor generates personalized recommendations tailored to your specific needs and requirements. These recommendations are presented in the Azure portal and categorized by areas such as Cost, Performance, Security, and High Availability.
Actionable Insights: Each recommendation provided by Azure Advisor includes actionable insights and guidance on how to implement the recommended changes or improvements. This may include adjusting resource configurations, enabling specific features or services, implementing best practices, or taking other optimization actions.
Priority and Impact: Azure Advisor prioritizes recommendations based on their potential impact on your Azure environment and the estimated cost savings, performance improvements, security enhancements, or reliability gains they can deliver. This helps you focus on the most impactful recommendations first and prioritize your optimization efforts.
Continuous Monitoring and Updates: Azure Advisor continuously monitors your Azure environment and updates its recommendations based on changes in resource usage, configuration, and best practices. It provides ongoing guidance and support to help you optimize your Azure resources and maximize the value of your cloud investments over time.

83
Q

Azure Virtual Machine Scale Set

A

Azure Virtual Machine Scale Sets (VMSS) is an Azure service that allows you to automatically scale a group of identical virtual machines based on demand or a predefined schedule. It automatically adjusts the number of virtual machines in the set based on metrics such as CPU utilization or custom application metrics. VMSS integrates with Azure Load Balancer for load balancing and ensures high availability by distributing virtual machines across fault and update domains. It offers flexibility for customization and integrates with other Azure services for monitoring, management, and security. Overall, VMSS provides a scalable and flexible platform for deploying and managing applications that require dynamic scaling.

84
Q

Vertical Scaling

A

Vertical scaling, also known as scaling up or scaling vertically, refers to the process of increasing the computing power, resources, or capacity of an individual resource or server in a system. In the context of cloud computing, vertical scaling typically involves upgrading the specifications of a single virtual machine or server instance to handle increased workload or performance requirements.

Vertical scaling can include increasing the CPU, memory, storage, or other resources of a virtual machine or server to improve its processing power, memory capacity, or storage capacity. This can be done by upgrading the instance type, increasing the size of the virtual machine, or adding additional resources such as CPU cores or memory modules.

85
Q

Azure Powershell Module VS. Azure Cloud Shell

A

Azure PowerShell Module is a downloadable tool for managing Azure resources using PowerShell scripting language, while Azure Cloud Shell is a browser-based shell environment within the Azure portal that provides access to both PowerShell and Bash command-line interfaces for managing Azure resources without any installation or setup. Both tools have their own advantages and use cases, and users can choose the one that best fits their requirements and preferences.

86
Q

Expenditure Models
Operational
elastic
capital
scalable

A

Operational Expenditure (OpEx):
OpEx refers to ongoing expenses incurred for the day-to-day operations of a business or organization. In the context of cloud computing, OpEx typically includes subscription-based fees for using cloud services, such as Microsoft Azure.
With an OpEx expenditure model, organizations pay for cloud resources on a pay-as-you-go basis, often with monthly or hourly billing. This allows for flexibility and scalability, as costs are directly tied to usage and can be adjusted as needed.
OpEx models are favored for their flexibility, as they require no upfront investment and allow organizations to scale resources up or down based on demand.
Elastic Expenditure:
Elastic expenditure refers to the ability to dynamically scale resources up or down in response to changing demand. This elasticity is a key feature of cloud computing, allowing organizations to efficiently use resources and minimize costs.
In Azure, elastic expenditure is achieved through services like Azure Virtual Machine Scale Sets, which automatically adjust the number of virtual machines based on workload demand, ensuring optimal resource utilization and cost efficiency.
Capital Expenditure (CapEx):
CapEx refers to upfront investments in assets or infrastructure that provide long-term value to a business. In the context of cloud computing, CapEx may include investments in data centers, servers, networking equipment, and other hardware.
Unlike OpEx, which involves ongoing operational expenses, CapEx investments are typically depreciated over time and may require upfront capital investment. However, CapEx models offer greater control and ownership over assets and may be more cost-effective in the long run for certain organizations.
Scalable Expenditure Model:
The scalable expenditure model combines elements of OpEx and CapEx, allowing organizations to scale resources dynamically while also making strategic investments in infrastructure or technology.
With a scalable expenditure model, organizations can leverage cloud services for operational flexibility and scalability, while also making targeted investments in areas that provide long-term value and competitive advantage.
Azure’s flexible pricing options, such as reserved instances and Azure Hybrid Benefit, enable organizations to optimize costs and maximize ROI by combining OpEx and CapEx approaches based on their specific needs and goals.

87
Q

PaaS

A

Azure PaaS, or Azure Platform as a Service, is a cloud computing service provided by Microsoft Azure that allows developers to build, deploy, and manage applications without having to worry about the underlying infrastructure. In Azure PaaS, Microsoft manages the servers, storage, and networking components, while users focus solely on developing and managing their applications.

Azure PaaS offers various services and tools tailored to different application development needs, including:

App Service: A fully managed platform for building, deploying, and scaling web applications and APIs. It supports various programming languages and frameworks, including .NET, Java, Python, and Node.js.
Azure Functions: A serverless compute service that allows developers to run event-triggered code without managing infrastructure. Developers can write functions in various languages and integrate them with other Azure services.
Azure SQL Database: A fully managed relational database service that offers high availability, security, and scalability. It supports SQL Server databases and offers features like automatic tuning and intelligent performance monitoring.
Azure Cosmos DB: A globally distributed, multi-model database service designed for building highly scalable and responsive applications. It supports various data models, including document, key-value, graph, and column-family, and offers guaranteed low-latency performance.
Azure Kubernetes Service (AKS): A fully managed Kubernetes service that simplifies the deployment, management, and scaling of containerized applications. It automates tasks like cluster provisioning, scaling, and upgrades, allowing developers to focus on building their applications.
Azure App Configuration: A centralized configuration service that simplifies management and deployment of application settings across distributed environments. It provides features like dynamic configuration updates and feature management.
These are just a few examples of the many services offered under Azure PaaS. By leveraging Azure PaaS, developers can accelerate application development, improve scalability, and reduce operational overhead.

88
Q

SaaS

A

Azure SaaS refers to Software as a Service (SaaS) offerings provided by Microsoft Azure. In the SaaS model, software applications are hosted and maintained by a third-party provider, such as Microsoft Azure, and are made available to customers over the internet. Users access these applications via a web browser or API, and the provider handles all aspects of software maintenance, including updates, security, and scalability.

Azure SaaS offerings cover a wide range of applications and services, including productivity tools, collaboration platforms, business applications, and industry-specific solutions. Some popular Azure SaaS offerings include:

Microsoft 365 (formerly Office 365): A suite of productivity tools and services, including Microsoft Word, Excel, PowerPoint, Outlook, Teams, and more. Microsoft 365 is widely used by businesses for email, document collaboration, communication, and productivity enhancement.
Dynamics 365: A suite of cloud-based enterprise resource planning (ERP) and customer relationship management (CRM) applications. Dynamics 365 includes modules for sales, marketing, customer service, finance, operations, and more, helping organizations streamline their business processes and improve customer relationships.
Azure DevOps: A set of cloud-based collaboration tools for software development teams. Azure DevOps includes services for version control, agile planning, continuous integration/continuous delivery (CI/CD), and application monitoring, enabling teams to efficiently plan, build, test, and deploy software applications.
Azure Active Directory (Azure AD): A cloud-based identity and access management service that provides single sign-on (SSO), multi-factor authentication (MFA), user provisioning, and access control capabilities. Azure AD helps organizations secure their applications and resources while enabling seamless user access from anywhere, on any device.
Azure AI services: A collection of artificial intelligence (AI) and machine learning (ML) services that enable developers to build intelligent applications with capabilities such as speech recognition, natural language processing (NLP), computer vision, and predictive analytics.
These are just a few examples of the Azure SaaS offerings available. By leveraging Azure SaaS, organizations can access powerful software applications without the need to invest in infrastructure or worry about software maintenance, allowing them to focus on their core business activities.

89
Q

IaaS

A

Azure IaaS, or Infrastructure as a Service, is a cloud computing service offered by Microsoft Azure that provides virtualized computing resources over the internet. With Azure IaaS, users can rent virtual machines (VMs), storage, and networking components from Microsoft’s data centers to build, deploy, and manage their own infrastructure without having to invest in physical hardware.

Key components of Azure IaaS include:

Virtual Machines (VMs): Azure offers a wide range of VM sizes and types to support various workloads, including general-purpose, memory-optimized, compute-optimized, and GPU-enabled VMs. Users can choose the appropriate VM size based on their performance, storage, and processing requirements.
Storage: Azure provides different types of storage options, including Azure Blob Storage for unstructured data, Azure File Storage for file shares in the cloud, Azure Disk Storage for block storage, and Azure Premium Storage for high-performance SSD-based storage.
Networking: Azure offers networking services such as Azure Virtual Network, which allows users to create isolated networks in the cloud with custom IP address ranges, subnets, and routing tables. Azure Load Balancer distributes incoming traffic across multiple VMs for high availability and scalability, while Azure VPN Gateway enables secure connectivity between on-premises networks and Azure virtual networks.
Identity and Access Management: Azure Active Directory (Azure AD) provides identity and access management services for Azure resources. Users can manage access to Azure resources, enforce multi-factor authentication, and integrate with on-premises Active Directory environments for single sign-on.
Security and Compliance: Azure offers a range of security features, including encryption at rest and in transit, network security groups for controlling traffic flow, Azure Security Center for threat detection and monitoring, and compliance certifications to meet regulatory requirements.
Monitoring and Management: Azure provides tools for monitoring and managing Azure resources, such as Azure Monitor for monitoring performance and availability, Azure Resource Manager for deploying and managing resources, and Azure Automation for automating repetitive tasks.
By leveraging Azure IaaS, organizations can benefit from the flexibility and scalability of cloud computing while maintaining control over their infrastructure and applications. They can quickly provision resources, scale up or down based on demand, and pay only for the resources they use, reducing capital expenses and operational overhead.

90
Q

Automatic Scaling

A

Azure Automatic Scaling, also known as autoscaling, is a feature provided by Microsoft Azure that allows users to automatically adjust the number of resources allocated to an application based on changes in demand or other predefined conditions. Autoscaling helps ensure that applications can handle varying workloads efficiently while minimizing costs by only using the necessary resources when needed.

Azure offers several autoscaling options across its various services, including:

Azure App Service: Users can enable autoscaling for web apps, API apps, and Azure Functions hosted on Azure App Service. Autoscaling rules can be configured based on metrics such as CPU usage, memory usage, or queue length. Azure App Service can automatically add or remove instances to meet demand without manual intervention.
Azure Virtual Machine Scale Sets (VMSS): VMSS allows users to automatically scale the number of virtual machines based on metrics like CPU utilization, disk I/O, or custom metrics. VMSS can automatically increase or decrease the number of VM instances in a scale set to maintain performance and availability.
Azure Kubernetes Service (AKS): AKS supports horizontal pod autoscaling, which automatically adjusts the number of pods (containers) in a Kubernetes cluster based on CPU utilization or custom metrics. AKS can scale out to handle increased demand and scale in to reduce costs during periods of low activity.
Azure SQL Database: Azure SQL Database offers autoscaling capabilities for automatically adjusting the performance level (e.g., compute resources) based on the workload. Users can configure autoscaling rules to increase or decrease the performance tier of the database dynamically.
Azure Functions: Azure Functions supports autoscaling based on triggers and workload metrics. Users can configure autoscaling rules to scale out the number of function instances based on factors such as the number of incoming requests, queue length, or custom metrics.
By leveraging Azure Automatic Scaling, organizations can ensure that their applications and services can handle varying levels of demand efficiently, improve performance and availability, and optimize costs by only using the necessary resources when needed. Autoscaling helps eliminate the need for manual intervention in adjusting resource allocations, allowing teams to focus on developing and improving their applications.

91
Q

Azure Data Compression

A

Azure Data Compression refers to the compression techniques and tools available within the Microsoft Azure ecosystem to reduce the storage space required for storing data, improve data transfer performance, and optimize data processing efficiency. Data compression is essential for reducing storage costs, improving data transfer speeds, and enhancing overall system performance in cloud-based environments.

Azure offers several data compression capabilities across its various services and storage options:

Azure Blob Storage: Azure Blob Storage supports both server-side and client-side compression. Server-side compression allows users to enable compression at the storage level, reducing the size of data objects stored in Blob Storage. Client-side compression allows applications to compress data before uploading it to Blob Storage, reducing the amount of data transferred over the network.
Azure SQL Database: Azure SQL Database supports data compression at the database level. Users can enable row-level or page-level compression for tables and indexes to reduce the storage footprint of the database and improve query performance. SQL Database also offers transparent data encryption (TDE) for encrypting data at rest to enhance security.
Azure Synapse Analytics (formerly Azure SQL Data Warehouse): Azure Synapse Analytics offers data compression capabilities to reduce storage costs and improve query performance. Synapse Analytics uses columnar storage formats and compression techniques to store data efficiently and optimize query execution.
Azure Data Lake Storage: Azure Data Lake Storage Gen2 supports data compression at the file level. Users can enable compression when uploading files to Data Lake Storage to reduce storage costs and improve data transfer performance.
Azure HDInsight: Azure HDInsight, a managed Apache Hadoop and Spark service, supports data compression for processing large-scale data analytics workloads. Users can leverage compression codecs such as Snappy, Gzip, or Deflate to compress data before storing it in Hadoop Distributed File System (HDFS) or Azure Data Lake Storage.
By leveraging Azure Data Compression, organizations can optimize storage costs, improve data transfer performance, and enhance overall system efficiency in their Azure-based applications and analytics workloads. Data compression plays a crucial role in modern cloud-based architectures, helping organizations to manage and analyze large volumes of data more effectively.

92
Q

Azure Versioning

A

In the context of Microsoft Azure, “Azure Versioning” typically refers to the practice of managing and tracking different versions of resources, services, APIs, or software components within the Azure ecosystem. Versioning is crucial for maintaining compatibility, managing changes, and ensuring smooth upgrades across Azure services and applications.

Here are some common scenarios where versioning is relevant in Azure:

API Versioning: Azure APIs, such as those for Azure Resource Manager (ARM), Azure Management APIs, Azure SDKs, and Azure services, often have multiple versions to support backward compatibility and introduce new features or improvements. Users and developers need to specify the version of the API they are interacting with to ensure compatibility with their applications.
Azure Resource Manager (ARM) Templates: ARM templates are JSON files used to define and deploy Azure resources as part of infrastructure as code (IaC) practices. Azure supports versioning of ARM templates, allowing users to manage different versions of their infrastructure definitions and configurations. This enables users to roll back to previous versions or deploy updates incrementally while maintaining consistency and reliability.
Azure Service Updates: Microsoft regularly updates and enhances Azure services with new features, improvements, and bug fixes. Azure provides release notes and documentation detailing these updates, including version information, to help users stay informed about changes and plan for any required actions, such as updating dependencies or modifying configurations.
Azure SDKs and Client Libraries: Azure provides software development kits (SDKs) and client libraries for various programming languages to simplify development and integration with Azure services. These SDKs often have multiple versions corresponding to different Azure service versions or feature sets. Developers need to choose the appropriate SDK version based on their requirements and compatibility with their applications.
Azure Marketplace Offerings: The Azure Marketplace offers a wide range of third-party solutions and services from various vendors. Vendors may release updates or new versions of their offerings to introduce new features, enhancements, or bug fixes. Users can review version information and release notes before deploying or updating Marketplace solutions in their Azure environments.
Effective versioning practices in Azure help ensure consistency, reliability, and compatibility across Azure services and applications, enabling users to leverage the latest features and improvements while minimizing disruptions and compatibility issues.

93
Q

benefits of Azure Data Warehouse?

A

is high availability is built in to the platform

94
Q

Azure Blueprints

A

Azure Blueprints is a service in Microsoft Azure that allows cloud architects and administrators to define a repeatable set of Azure resources that adhere to organizational standards, compliance requirements, and best practices. Essentially, Azure Blueprints enable the automated deployment of environments that meet specific governance and compliance needs.

95
Q

What needs to happen to access your Archive Access Tier of an Azure storage account?

A

must be rehydrated before the dat is accessed

96
Q

After you create a vitual maching you need to modify what to allow connections From TCP port 8080?

A

Network security groups

97
Q

What provides orgs with the ability to manage the compliance of Azure reources accross multiple subscrioptions?

A

azure policies

98
Q

cosmos DB

A

Azure Cosmos DB is a globally distributed, multi-model database service provided by Microsoft Azure. It is designed to provide high availability, low latency, scalability, and consistency for both structured and unstructured data. Azure Cosmos DB is a fully managed NoSQL database service that supports multiple data models, including document, key-value, graph, and column-family, allowing developers to build a wide range of applications with diverse data storage and querying requirements. Multi-Model Support: Azure Cosmos DB supports multiple data models, including DocumentDB (JSON documents), MongoDB (document-oriented), Cassandra (wide-column), Gremlin (graph), and Table API (key-value). This flexibility allows developers to choose the most appropriate data model for their application requirements.Azure Cosmos DB is commonly used for a wide range of applications, including web and mobile apps, IoT (Internet of Things) solutions, gaming, e-commerce, and real-time analytics. It offers a comprehensive set of features and capabilities to support modern, cloud-native application development and data management requirements.

99
Q

Blob Storage

A

zure Blob Storage is a cloud-based object storage service provided by Microsoft Azure. It allows users to store and manage unstructured data, such as documents, images, videos, logs, backups, and other types of files, in a highly scalable and durable manner. Azure Blob Storage is designed to provide a simple and cost-effective solution for storing large volumes of data in the cloud, with features for data protection, access control, and integration with other Azure services.

Key features of Azure Blob Storage include:

Scalability: Azure Blob Storage is designed to scale to accommodate massive amounts of data. Users can store petabytes of data in a single storage account and seamlessly scale storage capacity up or down based on demand.
Durability and Redundancy: Azure Blob Storage provides high durability for stored data, with multiple copies of each data object stored across different Azure data centers within a region. This redundancy ensures data availability and resilience against hardware failures and datacenter outages.
Data Access: Azure Blob Storage supports both RESTful APIs and client libraries for accessing and managing stored data. Users can upload, download, and manipulate data objects programmatically using a variety of programming languages and platforms.
Blob Types: Azure Blob Storage supports three types of blobs: block blobs, append blobs, and page blobs. Block blobs are ideal for storing large files, such as images and videos. Append blobs are optimized for append-only scenarios, such as logging and auditing. Page blobs are used for random access scenarios, such as virtual machine disk storage.
Security and Access Control: Azure Blob Storage integrates with Azure Active Directory (Azure AD) for authentication and access control. Users can define fine-grained access policies and manage access permissions at the container and blob level using shared access signatures (SAS) and access control lists (ACLs).
Lifecycle Management: Azure Blob Storage supports lifecycle management policies for automatically managing data retention and deletion based on user-defined rules. Users can define policies to move or delete data based on factors such as age, access tier, or custom metadata.
Integration with Azure Services: Azure Blob Storage integrates with other Azure services, such as Azure Data Lake Storage, Azure Data Factory, Azure Functions, Azure Cognitive Services, and Azure Media Services, enabling seamless data processing, analytics, and content delivery workflows.
Azure Blob Storage is commonly used for a wide range of use cases, including data backup and archiving, media storage and streaming, content delivery, application data storage, and big data analytics. It offers a reliable, scalable, and cost-effective solution for storing and managing unstructured data in the cloud.

100
Q

Azure Germany can be used by ?

A

user or company that requires it data to reside in Germany

101
Q
A
102
Q

Azure Region

A

contains one or more data centers that are connected using a low latency network