Part 1 Azure Flashcards
What are two characteristics of the public cloud? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answers: Dedicated hardware. Unsecured connections. Limited storage. Metered pricing. Self-service management.
Metered pricing.
Self-service management.
Advantages of public clouds:
Lower costs-no need to purchase hardware or software, and you pay only for the service you use.
No maintenance-your service provider provides the maintenance.
Near-unlimited scalability-on-demand resources are available to meet your business needs.
High reliability-a vast network of servers ensures against failure.
This question requires that you evaluate the UPPER-CASED text surrounded by *** to determine if it is correct.
When planning to migrate a public website to Azure, you must plan to ** PAY MONTHLY USAGE ** costs.
Instructions: Review the UPPER-CASED text surrounded by ***. If it makes the statement correct, select “No change is needed”. If the statement is incorrect, select the answer choice that makes the statement correct.
Answers:
No change is needed.
Deploy a VPN.
Pay to transfer all the website data to Azure.
Reduce the number of connections to the website.
No change is needed.
Azure doesn’t directly bill based on the resource cost. Charges for a resource are calculated by using one or more meters. Meters are used to track a resource’s usage throughout its lifetime. These meters are then used to calculate the bill.
For example, when you create a single Azure resource, like a virtual machine, it has one or more meter instances created. Meters are used to track the usage of the resource over time. Each meter emits usage records that are used by Azure to calculate the bill.
For example, a single virtual machine (VM) created in Azure may have the following meters created to track its usage:
Compute Hours, IP Address Hours, Data Transfer In, Data Transfer Out, Standard Managed Disk, Standard Managed Disk Operations, Standard IO-Disk, Standard IO-Block Blob Read, Standard IO-Block Blob Write, Standard IO-Block Blob Delete
Your company plans to migrate all its data and resources to Azure.
The company’s migration plan states that only platform as a service (PaaS) solutions must be used in Azure.
You need to deploy an Azure environment that supports the planned migration.
Solution: You create an Azure App Service and Azure SQL databases.
Does this meet the goal?
Answers:
Yes.
No.
Yes
Platform as a service (PaaS) is a complete development and deployment environment in the cloud, with resources that enable you to deliver everything from simple cloud-based apps to sophisticated, cloud-enabled enterprise applications. You purchase the resources you need from a cloud service provider on a pay-as-you-go basis and access them over a secure Internet connection.
Like IaaS, PaaS includes infrastructure-servers, storage and networking-but also middleware, development tools, business intelligence (BI) services, database management systems and more. PaaS is designed to support the complete web application lifecycle: building, testing, deploying, managing and updating.
PaaS allows you to avoid the expense and complexity of buying and managing software licenses, the underlying application infrastructure and middleware, container orchestrators such as Kubernetes or the development tools and other resources. You manage the applications and services you develop and the cloud service provider typically manages everything else.
Your company hosts an accounting named App1 that is used by all the customers of the company.
App1 has low usage during the first three weeks of each month and very high usage during the last week of each month.
Which benefit of Azure Cloud Services supports cost management for this type of usage pattern?
Answers: High availability. High latency. Elasticity. Load balancing.
Elasticity
Elastic computing is the ability to quickly expand or decrease computer processing, memory, and storage resources to meet changing demands without worrying about capacity planning and engineering for peak usage. Typically controlled by system monitoring tools, elastic computing matches the amount of resources allocated to the amount of resources actually needed without disrupting operations. With cloud elasticity, a company avoids paying for unused capacity or idle resources and doesn’t have to worry about investing in the purchase or maintenance of additional resources and equipment.
While security and limited control are concerns to take into account when considering elastic cloud computing, it has many benefits. Elastic computing is more efficient than your typical IT infrastructure, is typically automated so it doesn’t have to rely on human administrators around the clock, and offers continuous availability of services by avoiding unnecessary slowdowns or service interruptions.
You plan to migrate a web application to Azure. The web application is accessed by external users.
You need to recommend a cloud deployment solution to minimize the amount of administrative effort used to manage the web application.
What should you include in the recommendation?
Answers: Software as a service (SaaS). Platform as a service (PaaS). Infrastructure as a service (IaaS). Database as a service (DaaS).
Platform as a service (PaaS).
IaaS (Information as a Service). IaaS is the most basic level of cloud-based solutions, which refers to renting an IT infrastructure as a fully outsourced service. In this category, the cloud provider lets you rent servers, VMs, storage, network and operating systems on a pay-as-you-go basis.
Examples: Amazon EC2 and S3, Google Compute Engine, Windows Azure.
PaaS (Platform as a Service). PaaS is the cloud solution where, apart from providing an infrastructure, cloud providers also issue an on-demand computing environment to develop, test, run and collaborate with components such as web servers, database management systems, and software development kits (SDKs) for various programming languages.
Examples: AWS Elastic Beanstalk, Heroku, Windows Azure, Force.com, Google App Engine.
SaaS (Software as a Service). SaaS providers offer fully functional web-based application softwares tailored to a variety of business needs such as project tracking, web conferencing, marketing automation or business analytics.
Examples: Google Apps, Microsoft Office 365, Gmail, Yahoo and Facebook.
You have an on-premises network that contains 100 servers.
You need to recommend a solution that provides additional resources to your users. The solution must minimize capital and operational expenditure costs.
What should you include in the recommendation?
Answers: A complete migration to the public cloud. An additional data center. A private cloud. A hybrid cloud.
A private cloud.
Private cloud is a type of cloud computing that delivers similar advantages to public cloud, including scalability and self-service, but through a proprietary architecture. Unlike public clouds, which deliver services to multiple organizations, a private cloud is dedicated to the needs and goals of a single organization.
As a result, private cloud is best for businesses with dynamic or unpredictable computing needs that require direct control over their environments, typically to meet security, business governance or regulatory compliance requirements.
What are three general cloud deployment models:
public, private and hybrid.
A public cloud is where an independent, third-party provider, such as Amazon Web Services (AWS) or Microsoft Azure, owns and maintains compute resources that customers can access over the internet. Public cloud users share these resources, a model known as a multi-tenant environment.
By comparison, a private cloud is created and maintained by an individual enterprise. The private cloud might be based on resources and infrastructure already present in an organization’s on-premises data center or on new, separate infrastructure. In both cases, the enterprise itself owns and operates the private cloud.
A hybrid cloud is a model in which a private cloud connects with public cloud infrastructure, allowing an organization to orchestrate workloads across the two environments. In this model, the public cloud effectively becomes an extension of the private cloud to form a single, uniform cloud. A hybrid cloud deployment requires a high level of compatibility between the underlying software and services used by both the public and private clouds.
You plan to deploy several Azure virtual machines.
You need to ensure that the services running on the virtual machines are available if a single data center fails.
Solution: You deploy the virtual machines to two or more scale sets.
Does this meet the goal?
Answers:
Yes.
No.
No
Azure virtual machine scale sets let you create and manage a group of identical, load balanced VMs. The number of VM instances can automatically increase or decrease in response to demand or a defined schedule. Scale sets provide high availability to your applications, and allow you to centrally manage, configure, and update a large number of VMs. With virtual machine scale sets, you can build large-scale services for areas such as compute, big data, and container workloads.
To provide redundancy and improved performance, applications are typically distributed across multiple instances. Customers may access your application through a load balancer that distributes requests to one of the application instances. If you need to perform maintenance or update an application instance, your customers must be distributed to another available application instance. To keep up with additional customer demand, you may need to increase the number of application instances that run your application.
You plan to map a network drive from several computers that run Windows 10 to Azure Storage. You need to create a storage solution in Azure for the planned mapped drive.
What should you create?
Answers: An Azure SQL database. A virtual machine data disk. A Files service in a storage account. A Blobs service in a storage account.
A Files service in a storage account.
Azure Files offers fully managed file shares in the cloud that are accessible via the industry standard Server Message Block (SMB) protocol. Azure file shares can be mounted concurrently by cloud or on-premises deployments of Windows, Linux, and macOS. Additionally, Azure file shares can be cached on Windows Servers with Azure File Sync for fast access near where the data is being used.
Azure Files:
Extend your servers to Azure with Sync for on-premises performance and capability.
Secure data at rest and in-transit using SMB 3.0 and HTTPS.
Simplify cloud file share management using familiar tools.
Create high-performance file shares using the Premium Files storage tier.
Your company plans to deploy an Artificial Intelligence (AI) solution in Azure.
What should the company use to build, test, and deploy predictive analytics solutions?
Answers: Azure Logic Apps. Azure Machine Learning Studio. Azure Batch. Azure Cosmos DB.
Azure Machine Learning Studio.
Machine Learning Studio is a powerfully simple browser-based, visual drag-and-drop authoring environment where no coding is necessary. Go from idea to deployment in a matter of clicks.
Azure Machine Learning is designed for applied machine learning. Use best-in-class algorithms and a simple drag-and-drop interface-and go from idea to deployment in a matter of clicks.
** AZURE POLICIES PROVIDE ** a common platform for deploying objects to a cloud infrastructure and for implementing consistency across the Azure environment.
Instructions: Review the UPPER-CASED text surrounded by ***. If it makes the statement correct, select “No change is needed”. If the statement is incorrect, select the answer choice that makes the statement correct.
Answers: No change is needed. Resource groups provide. Azure Resource Manager provides. Management groups provide.
Azure Resource Manager provides.
Azure Resource Manager is the deployment and management service for Azure. It provides a consistent management layer that enables you to create, update, and delete resources in your Azure subscription. You can use its access control, auditing, and tagging features to secure and organize your resources after deployment.
When you take actions through the portal, PowerShell, Azure CLI, REST APIs, or client SDKs, the Azure Resource Manager API handles your request. Because all requests are handled through the same API, you see consistent results and capabilities in all the different tools. All capabilities that are available in the portal are also available through PowerShell, Azure CLI, REST APIs, and client SDKs.
Your company has several business units.
Each business unit requires 20 different Azure resources for daily operation. All the business units require the same type of Azure resources.
You need to recommend a solution to automate the creation of the Azure resources.
What should you include in the recommendations?
Answers: Azure Resource Manager templates. Virtual machine scale sets. The Azure API Management service. Management groups.
Azure Resource Manager templates.
Azure Resource Manager Template defines the resources you need to deploy for your solution. First of all, you must know that an Azure Resource Manager Template is a just a simple JSON file. JSON is an open-standard file format derived from JavaScript. Note that a JSON file is a collection of name/value pairs.
Which Azure service should you use to correlate events from multiple resources into a centralized repository?
Answers: Azure Event Hubs. Azure Analysis Services. Azure Monitor. Azure Log Analytics.
Azure Log Analytics.
Log Analytics is a web tool used to write and execute Azure Monitor log queries. Open it by selecting Logs in the Azure Monitor menu. It starts with a new blank query.
You have an Azure environment. You need to create a new Azure virtual machine from an Android laptop.
Solution: You use PowerShell in Azure Cloud Shell.
Does this meet the goal?
Answers:
Yes.
No.
Yes
PowerShell is a task-based command-line shell and scripting language built on .NET. PowerShell helps system administrators and power-users rapidly automate tasks that manage operating systems (Linux, macOS, and Windows) and processes.
PowerShell commands let you manage computers from the command line. PowerShell providers let you access data stores, such as the registry and certificate store, as easily as you access the file system. PowerShell includes a rich expression parser and a fully developed scripting language.
This question requires that you evaluate the UPPER-CASED text surrounded by *** to determine if it is correct.
An Azure region ** CONTAINS ONE OR MORE DATA CENTERS ** that are connected by using a low-latency network.
Instructions: Review the UPPER-CASED text surrounded by ***. If it makes the statement correct, select “No change is needed”. If the statement is incorrect, select the answer choice that makes the statement correct.
Answers:
No change is needed.
Is found in each country where Microsoft has a subsidiary office.
Can be found in every country in Europe and the Americas only.
Contains one or more data centers that are connect by using a high-latency network.
No change is needed
Understand Azure global infrastructure:
A region is a set of datacenters deployed within a latency-defined perimeter and connected through a dedicated regional low-latency network. With more global regions than any other cloud provider, Azure gives customers the flexibility to deploy applications where they need to. Azure is generally available in 46 regions around the world, with plans announced for 8 additional regions.
A geography is a discrete market, typically containing two or more regions, that preserves data residency and compliance boundaries. Geographies allow customers with specific data-residency and compliance needs to keep their data and applications close. Geographies are fault-tolerant to withstand complete region failure through their connection to our dedicated high-capacity networking infrastructure.
Availability Zones are physically separate locations within an Azure region. Each Availability Zone is made up of one or more datacenters equipped with independent power, cooling, and networking. Availability Zones allow customers to run mission-critical applications with high availability and low-latency replication.
You plan to deploy 20 virtual machines to an Azure environment. To ensure that a virtual machine named VM1 cannot connect to the other virtual machines, VM1 must ** BE DEPLOYED TO A SEPARATE VIRTUAL NETWORK **.
Instructions: Review the UPPER-CASED text surrounded by ***. If it makes the statement correct, select “No change is needed”. If the statement is incorrect, select the answer choice that makes the statement correct.
Answers
No change is needed.
Run a different operating system than the other virtual machines.
Be deployed to a separate resource group.
Have two network interfaces.
No change is needed.
A support engineer plans to perform several Azure management tasks by using the Azure CLI.
You install the CLI on a computer.
You need to tell the support engineer which tools to use to run the CLI.
Which two tools should you instruct the support engineer to use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answers: Command Prompt. Azure Resource Explorer. Windows PowerShell. Windows Defender Firewall. Network and Sharing Center.
Command Prompt.
Windows PowerShell.
For Windows the Azure CLI is installed via an MSI, which gives you access to the CLI through the Windows Command Prompt (CMD) or PowerShell. When installing for Windows Subsystem for Linux (WSL), packages are available for your Linux distribution.
The Azure CLI is a command-line tool providing a great experience for managing Azure resources. The CLI is designed to make scripting easy, query data, support long-running operations, and more.
You plan to store 20 TB of data in Azure. The data will be accessed infrequently and visualized by using Microsoft Power BI.
You need to recommend a storage solution for the data.
Which two solutions should you recommend? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answers: Azure Data Lake. Azure Cosmos DB. Azure SQL Data Warehouse. Azure SQL Database. Azure Database for PostgreSQL.
Azure Data Lake.
Azure SQL Data Warehouse.
Azure Data Lake includes all the capabilities required to make it easy for developers, data scientists, and analysts to store data of any size, shape, and speed, and do all types of processing and analytics across platforms and languages.
Azure SQL Data Warehouse is a fully managed cloud data warehouse for enterprises of any size that combines lightning-fast query performance with industry-leading data security. Optimise workloads by elastically scaling your resources in minutes. Get unlimited storage, automated administration and built-in auditing and threat detection.
You have a virtual machine named VM1 that runs Windows Server 2016. VM1 is in the East US Azure region.
Which Azure service should you use from the Azure portal to view service failure notifications that can affect the availability of VM1?
Answers: Azure Service Fabric. Azure Monitor. Azure virtual machines. Azure Advisor.
Azure Monitor.
Azure Monitor maximizes the availability and performance of your applications by delivering a comprehensive solution for collecting, analyzing, and acting on telemetry from your cloud and on-premises environments. It helps you understand how your applications are performing and proactively identifies issues affecting them and the resources they depend on.
All data collected by Azure Monitor fits into one of two fundamental types, metrics and logs. Metrics are numerical values that describe some aspect of a system at a particular point in time. They are lightweight and capable of supporting near real-time scenarios. Logs contain different kinds of data organized into records with different sets of properties for each type. Telemetry such as events and traces are stored as logs in addition to performance data so that it can all be combined for analysis.
An Azure administrator plans to run a PowerShell script that creates Azure resources.
You need to recommend which computer configuration to use to run the script.
Solution: Run the script from a computer that runs Linux and has the Azure CLI tools installed.
Does this meet the goal?
Answers:
Yes.
No.
No
Install Azure CLI on Linux manually
If there’s no package for the Azure CLI for your distribution, install the CLI manually by running a script.
