(AZ-900 topic) Describe core solutions and management tools on Azure Flashcards

AZ-900 topic assess your ability to: Talk about the core solutions in Azure, and Azure's management tools Questions for this domain comprise 13% of the total questions for the AZ-900.

1
Q

Which Azure DevOps tool would you use to share applications and code libraries?

  • Azure Repos
  • Azure Pipelines
  • Azure Artifacts
  • Azure Test Plans
  • Azure Boads
A

-Azure Artifacts

Azure Artifacts is a service in Azure DevOps, which can host code libraries and applications for you to share internally or externally. Azure Boards is for project managers. Azure Repos holds your source code. Azure Test Plans is used to create manual and automatic test scenarios for your application. Azure Pipelines is the process that builds and deploys your application.

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2
Q

What kind of service architecture is Azure DevOps?

  • Serverless
  • PaaS
  • Saas
  • Iaas
  • On-premises
A

-Saas

Azure DevOps is a Software as a Service offering.

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3
Q

What is the purpose of a model in AI and Machine Learning?

A

To define what you want your machine learning implementation to learn.

A machine learning model defines the parameters for what you want to learn from the data provided. The model will learn from the data based on these parameters.

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4
Q

You have a need to create a new IoT solution quickly with minimal setup and development time. Which Azure product or solution can best help with these requirements?

  • Azure IoT Hub provides a managed and secure backend for millions of IoT devices.
  • A combination of Azure Edge for IoT combined with a CDN and Cosmos DB will meet the requirements.
  • Azure IoT Central is a Software-as-a-Service solution that can help ease the costs and effort of developing a whole IoT solution from scratch.
  • Azure Event Grid is perfect for connecting millions of devices with a backend.
A

-Azure IoT Central is a Software-as-a-Service solution that can help ease the costs and effort of developing a whole IoT solution from scratch.

Azure IoT Central is a fully managed SaaS solution that provides all parts of your IoT solution. You only have to manage dashboards and data connections. No code is needed.

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5
Q

Which Azure offering refers to a set of development, testing, and automation tools?

  • GitHub
  • Azure DevOps
  • Azure Cognitive Services
  • Azure Boards
A

Azure DevOps

Azure DevOps Services provides development collaboration tools, including high-performance pipelines, free private Git repositories, configurable Kanban boards, and extensive automated and continuous testing capabilities.

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6
Q

What are some of the main aims of collecting and processing Big Data? (choose 3)

  • Finding new algorithms to make the data commercial and derive value from it.
  • Speed and efficiency of analytics.
  • Compliance with the current data usage regulations.
  • Faster and better decision making.
  • More robust use of the data.
  • Cost reduction of data storage.
A

Speed and efficiency of analytics.

Faster and better decision making.

Cost reduction of data storage.

Big Data is a technology that enables speed and efficiency when analyzing the data, cost reduction for storing the enormous amounts of data, and faster and better decision making for companies based on the data and analysis of it.

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7
Q

What types of data does Azure Monitor collect? (choose 2)

  • Only metrics
  • Metrics and activity logs
  • Only activity logs
  • Physical Hardware data
  • Subscription monitoring data
A

Metrics and activity logs

Subscription monitoring data

Azure Monitor collects two broad types of data: metrics and logs. Within these data types sits subscription monitoring data. Physical hardware data is not collected by Azure Monitor.

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8
Q

Your company wants to use Azure to manage all of their IoT devices. They are going to create the infrastructure themselves, but need a backend in Azure to manage the flow of data, and to ensure security as well as ease of deployment of new devices. Which Azure product or solution would be suitable?

  • Azure IoT Hub provides a managed and secure backend for millions of IoT devices.
  • Azure Event Grid is perfect for connecting millions of devices with a backend.
  • A combination of Azure Edge for IoT combined with a CDN and Cosmos DB will meet the requirements.
  • Azure IoT Central is the perfect SaaS solution for this scenario.
A

Azure IoT Hub provides a managed and secure backend for millions of IoT devices.

Azure IoT Hub is a solution for providing managed services for large IoT projects. It provides secure and reliable communication from devices to the Azure backend. Azure IoT Central is a SaaS solution that provides both managed connections and security as well as the dashboards and applications to use the data. Event Grid is used to connect many Azure services.

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9
Q

Which of the following recommendations is provided by Azure Advisor?

  • Azure App Service security
  • Azure resource costs
  • Azure virtual machine IP configuration
  • Storage performance and reliability
A

Azure App Service security

Azure resource costs

Storage performance and reliability

Azure Advisor integrates with Azure Security Center to provide recommendations and detect vulnerabilities. Azure Advisor does not make technical recommendations that do not apply to performance, cost, or security.

A key recommendation of Azure Advisor is cost, which allows you to see how your resources are performing and provide recommendations on how to reduce the cost of underutilized systems.

Advisor identifies virtual machines with standard disks that have a high volume of transactions on your storage account and recommends upgrading to premium disks.

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10
Q

You have designed a specific infrastructure in Azure with many virutal machines and virtual networks. you need to create the same configuration for the remaining three environments in the company. You have to be sure that your deployments are consistent.

What will you choose to accomplish this?

  • Desired State Configuration
  • Azure Resource Manager (ARM) templates
  • Chef
  • Custom scripts
A
  • Azure Resource Manager (ARM) templates

You would choose ARM templates. With ARM templates and their JSON templates, you can make sure that your deployments are consistent.

You would not choose the Desired State Configuration because it helps you define a state for your machines instead of writing detailed manual instructions on how to achieve that state for each machine.

You would not choose custom scripts because those are used for post-deployment configuration, software installation, or any other configuration or management task.

You would not choose Chef because it is a tool for delivering automation and desired state configurations.

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11
Q

You are frustrated with the existing source control because recently you started to have large files. You are trying to find somewhere to keep the code and the large files and still have all the benefits of versioning.

Which of the following should you choose?

  • GitHub
  • Git
  • Artifacts
  • Git LFS
A

Git LFS

You would choose Git LFS. With large files, Git Large File Storage (LFS) allows you to separate large files out of your repositories and still have all the benefits of versioning and comparisons.

You would not choose Git because Git works best with repositories that are small and do not contain large files (or binaries).

You would not choose GitHub because GitHub is a cloud service for hosting Git repositories and is free for open-source projects.

You would not choose Artifacts because it is a repository for packages within the organization and is used as a package feed.

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12
Q

Metroil Corporation has moved its data from an on-premises datacenter to Azure, including Azure Blob Storage and an Azure Data Lake Store. They took advantage of Azure SQL Managed Instance to migrate their databases to the cloud. They will develop cloud-based applications that consume this data.

Which of the following products and technologies offer machine learning features that might be usable by Metroil? (Choose all that apply.)

  • Azure Machine Learning Service
  • Azure SQL Managed Instance Machine Learning Services
  • SQL Server Machine Learning Services
  • Azure Time Series Insights
  • Azure Cognitive Services
A
  • Azure Machine Learning Service
  • Azure SQL Managed Instance Machine Learning Services
  • Azure Cognitive Services

Azure SQL Managed Instance Machine Learning Services provides in-database machine learning. It allows the running of Python and R scripts. You can use it to prepare and clean data or deploy machine learning models within a database.

Azure Cognitive Services might be of use to Metroil. The service has pre-built API’s that allow building intelligent applications quickly. The services allow apps to see, hear, and understand user needs with just a few lines of code.

Azure Machine Learning is a complete data science platform that may be useful to Metroil. It allows for building machine learning solutions using Python and other open-source tooling. For those developers who are new to machine learning, the Azure Machine Learning Studio is a no-coding-required learning and solution platform.

Azure Time Series Insights is not a machine learning product. The Azure Time Series Insights explorer is a data and trend visualization tool. It can be connected to Power BI to create dashboards.

SQL Server Machine Learning Services do not meet Metroil’s needs. While SQL Server Machine Learning Services are almost identical to Azure SQL Managed Instance Machine Learning Services, it is an on-premises option. Metroil’s data is in the cloud.

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13
Q

As an Azure DevOps administrator, you need to help the company integrate its GitHub source code with Azure Pipelines. Which of the following should you recommend? (Choose all that apply.)

  • Build the pipeline in GitHub.
  • Install Azure Pipelines from GitHub Marketplace.
  • Build the pipeline only in a new Azure DevOps project.
  • The code must be migrated to Azure DevOps Repo.
  • Build the pipeline in a new or existing Azure DevOps project.
A
  • Install Azure Pipelines from GitHub Marketplace.
  • Build the pipeline in a new or existing Azure DevOps project.

You should choose to install Azure Pipelines from GitHub Marketplace because this extension makes it easier to configure CI/CD pipelines for repositories in GitHub.

You would choose to build the pipeline in a new or existing Azure DevOps project. It is up to you whether you will create a new project or build the pipeline in another existing project.

You would not choose to build the pipeline in GitHub because, for the build pipeline, you must log in to Azure DevOps and configure it there.

You do not have to build the pipeline only in a new Azure DevOps project. You can build the pipeline in an existing Azure DevOps project.

You would not choose that the code must be migrated to Azure DevOps Repo because Azure DevOps can be integrated with GitHub and many other source controls, and it is up to you where the code will reside.

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14
Q

The Nutex Corporation wants to automate the business processes and workflows needed to manage the integration between apps, data, systems, and services on Azure.

Which of the following statements about Azure Logic Apps are TRUE? (Select all that apply.)

  • An SLA supports all types of Azure Logic Apps integration accounts.
  • A gateway installation cannot be linked to multiple Azure accounts or Azure gateway resources.
  • Azure Logic Apps meters all successful and unsuccessful actions as executions.
  • Trigger consistency is the highest number of logic app instances that can wait to run when a logic app is already running the maximum concurrent instances.
A
  • A gateway installation cannot be linked to multiple Azure accounts or Azure gateway resources.
  • Azure Logic Apps meters all successful and unsuccessful actions as executions.

Azure Logic Apps measures “built-in” actions as native actions. These built-in actions include calls from Azure Functions or API Management, HTTP calls, and control flow steps such as conditions, loops, and switch statements. Each action contains an action type, for example actions that call connectors have the “ApiConnection” type. These connectors are metered based on their Standard or Enterprise connector pricing levels.

Logic Apps does not meter actions that get skipped due to unmet conditions and actions that do not run because the logic app stopped before finishing

Before connecting to on-premises data sources from Azure Logic Apps, customers must download and install the on-premises data gateway on to a local computer. The gateway works as a bridge that provides quick data transfer and encryption between on-premises data sources and the logic apps. You can use the same gateway installation with other cloud services, such as Power BI, Power Automate, Power Apps, and Azure Analysis Services

Only one gateway installation can be linked to an Azure gateway resource.

Trigger concurrency describes the highest number of logic app instances that can run at the same time or in parallel. The value is set to Unlimited when the concurrency control is turned off. The default value is 25, and the range is 1 to 50. This term does not describe the highest number of logic app instances that can wait to run when a logic app is already running the maximum concurrent instances

An SLA does not support all types of Azure Logic Apps integration accounts. Free, Basic, and Standard integration accounts are available for the Logic Apps service. The Logic Apps service-level agreement (SLA) supports the Basic and Standard tiers, but not the Free tier. You can have more than one integration account in each Azure region, except for Free tier integration accounts.

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15
Q

Which of the following is true regarding HDInsight?

  • It is a managed relational cloud database service.
  • It can run massively parallel data transformation and processing programs across petabytes of data.
  • It is an open-source framework for the distributed processing and analysis of big datasets in clusters.
  • It is a cloud-based service that is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics.
A

It is an open-source framework for the distributed processing and analysis of big datasets in clusters.

Azure HDInsight is an open-source framework for the distributed processing and analysis of big datasets in clusters. HDInsight makes it easy, fast, and cost-effective to process massive amounts of data.

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16
Q

You are in the early stages of building your AI World Domination application. Which is the best Azure tool for managing your models, projects, data sets and more for the application?

  • Azure Machine Learning Studio.
  • PyTorch for Azure ML.
  • Azure Data Lake Analytics.
  • Azure Machine Learning.
A

Azure Machine Learning.

Azure Machine Learning is a separate and modernized service that delivers a complete data science platform. It supports both code-first and low-code experiences. Microsoft recommends that new users choose Azure Machine Learning, instead of ML Studio (classic), for the latest range of data science tools.

17
Q

Which of the following Azure services is an on-demand analytics job service that can run massively parallel data transformations and processing programs across large amounts of data?

  • Azure SQL database
  • Azure Data Lake Analytics
  • Azure SQL Data Warehouse
  • Azure HDInsight
A
  • Azure Data Lake Analytics
  • Azure HDInsight

Azure Data Lake Analytics and Azure HDInsight are the correct answers. Azure Data Lake Analytics can run massively parallel data transformation and processing programs across petabytes of data. Azure HDInsight is an open-source analytics service for enterprises that makes it easy, fast, and cost-effective to process massive amounts of data.

18
Q

The Nutex Corporation wants to use machine learning to predict future behaviors, outcomes, and trends from the data that Azure gathers. You are tasked to understand how to use Azure Machine Learning Service.

Describe the attributes or settings of the following Azure Machine Learning Service:

Estimator

A

A class used to construct run configurations.

The Estimator class can be used to easily construct run configurations. A Generic estimator can be created to submit training scripts that use any learning framework selected by the customer.

19
Q

The Nutex Corporation wants to use machine learning to predict future behaviors, outcomes, and trends from the data that Azure gathers. You are tasked to understand how to use Azure Machine Learning Service.

Describe the attributes or settings of the following Azure Machine Learning Service:

Pipeline

A

An entity used to create and manage workflows that stitch together the phases of machine learning.

Machine learning pipelines are used to create and manage workflows that are used during machine learning phases. For example, a pipeline might include multiple phases, each phase can encompass multiple steps, and each step can run unattended in various compute targets. These steps are reusable and can be run without rerunning subsequent steps.

20
Q

The Nutex Corporation wants to use machine learning to predict future behaviors, outcomes, and trends from the data that Azure gathers. You are tasked to understand how to use Azure Machine Learning Service.

Describe the attributes or settings of the following Azure Machine Learning Service:

Workspace

A

A centralized place to work with all the artifacts.

Workspace provides a centralized place to work with all the artifacts created for Azure Machine Learning and can be shared.

21
Q

The Nutex Corporation wants to use machine learning to predict future behaviors, outcomes, and trends from the data that Azure gathers. You are tasked to understand how to use Azure Machine Learning Service.

Describe the attributes or settings of the following Azure Machine Learning Service:

Run

A

A single execution of a training script.

A run is a single execution of a training script. All runs are recorded and store the following information:

  • Metadata about the run (timestamp, duration, and so on)
  • Output files that are auto collected by the experiment or explicitly uploaded by customers
  • A snapshot of the directory that contains the scripts, prior to the run.
22
Q

The Nutex Corporation wants to use machine learning to predict future behaviors, outcomes, and trends from the data that Azure gathers. You are tasked to understand how to use Azure Machine Learning Service.

Describe the attributes or settings of the following Azure Machine Learning Service:

Model

A

A piece of code that takes an input and produces output.

A model is a piece of code that takes an input and produces output. A model is produced by a run in Azure Machine Learning.

23
Q

Azure AI makes artificial intelligence real for business. Describe the functionality of the following the Azure AI service:

Azure Cognitive Service

A
  • Integrate speech recognition
  • Convert text to speech

Azure Cognitive Services allows developers to integration seeing, hearing, speaking, and other “human” capabilities into their applications. This includes text-to-speech, speech-to-text, and speech recognition.

24
Q

Azure AI makes artificial intelligence real for business. Describe the functionality of the following Azure AI service:

Power Virtual Agents

A
  • Create bots with no code

Power Virtual Agents allow building a bot without coding experience. It uses a simple graphical interface. There are many premade connectors that allow out-of-the-box integration with Power Automate.

25
Q

Azure AI makes artificial intelligence real for business. Describe the functionality of the following the Azure AI service:

Azure Bot Service

A
  • Allow developers to code and create a virtual assistant

The Azure Bot Service lets business build develop their own bots, including the ability to make a branded “virtual assistant”. It is geared towards developers and data scientists. The Azure Bot Service scales on demand.

26
Q

Azure AI makes artificial intelligence real for business. Describe the functionality of the following the Azure AI service:

Azure Cognitive Search

A
  • Simple query syntax

Azure Cognitive Search (formerly known as Azure Search) provides a freeform full-text search engine, It accepts both simple and full query syntaxes. The search service sits “between” your data stores and the client app. Cognitive search also offers image processing, such as Optical Character Recognition (OCR), or facial recognition.

27
Q

Azure AI makes artificial intelligence real for business. Describe the functionality of the following the Azure AI service:

Azure Machine Learning Studio

A
  • Web-based portal to deploy machine learning modules

The Azure Machine Learning Studio is a web-based portal inside of Azure Machine Learning allowing developers to create machine learning projects. It includes both code and no-code experiences. The Studio is the Azure-integrated version of the original ML Studio, which was a standalone service.

28
Q

The Nutex Corporation has been asked to implement IoT on Azure to build a pressure sensor network at its customer’s oil wells. You work as the Azure IoT solution developer who must design the Azure IoT solution.

Which of the following statements about the features of Azure IoT are TRUE? (Select all that apply.)

  • The IoT Device Provisioning Service is global and not bound to a location.
  • A Matcher is a set of specific conditions that monitor the IoT device or sensor.
  • A maximum number of 10 IoT Hubs can be created per subscription.
  • IoT Edge runtime reports the health of the IoT Edge modules.
A
  • A Matcher is a set of specific conditions that monitor the IoT device or sensor.
  • A maximum number of 10 IoT Hubs can be created per subscription.
  • IoT Edge runtime reports the health of the IoT Edge modules.

The functions of IoT Edge runtime include:

  1. Installs and updates workloads on the device.
  2. Upholds Azure IoT Edge security standards on the device.
  3. Keeps IoT Edge modules running all the time.
  4. Reports module health to the cloud for remote monitoring.
  5. Ensures communication between modules on an IoT Edge device, between downstream leaf devices and an IoT Edge device, and between an IoT Edge device and the cloud.

By default, up to 10 IoT hubs can be provisioned per subscription. An Azure support ticket must be used to raise this limit.

With Azure Digital Twins, customers can define a set of specific conditions to monitor the device or sensor data, called matchers, and then define functions called user-defined functions. User-defined functions execute custom logic on data that comes from your spaces and devices when the conditions specified by the matchers occur.

It is not true that the IoT Device Provisioning Service is global and not bound to a location. However, customers must specify a region in which the metadata associated with the Device Provisioning Service profile will reside.

The IoT Hub Device Provisioning Service is a helper service for IoT Hub that enables zero-touch, just-in-time provisioning to the right IoT hub without requiring human intervention, enabling customers to provision millions of devices in a secure and scalable manner.

29
Q

Verigon Corporation is an industrial HVAC vendor. Their systems rely on many Azure services, including Azure Storage Blob and the Azure IoT Hub. They take advantage of the Azure Functions serverless environment. Verigon would like to automate some steps to be taken when a rare occurrence is detected, such as an unplanned major increase in temperature.

What Azure service would best allow Azure Functions to react to such status change incidents?

  • Azure Data Factory
  • Azure Kubernetes
  • Azure Event Grid
  • Azure Event Hub
  • Azure Service Bus
A
  • Azure Event Grid

Azure Event Grid would be the service for Verigon to use. Azure Event Grid serves as a fully-managed event routing service. It can raise events from almost any source (such as IoT hub) and route them anywhere (such as Azure Functions). It is intended for reactive programming to discrete events, such as status change. An event is the smallest amount of information that describes something that happened. It has information that is only relevant to that type of event. Event Grid offers durable delivery, meaning that if an event is not acknowledged by the endpoint, it will retry.

The Azure Service Bus is not the best choice in this scenario. The Azure Service Bus is based on messages. A message is a raw data that is to be stored or consumed elsewhere.

Financial transactions would be a good example. Verigon wants to know about events, not messages. However, the Service Bus can be configured to send events to Event Grid if there are messages in a queue.

Kubernetes does not meet Verigon’s needs in this scenario. The Azure Kubernetes Service allows for the deployment and management of containers.

It is not an event-routing service.

The Azure Data Factory service does not apply to the Verigon scenario. It is a cloud-based data integration service to transform data at scale from data stores. It is not an event-routing service.

The Azure Event Hub is a data streaming service intended for millions of events per second. It is designed to ingest a massive volume of data. The scenario does not indicate a need for such speed and transaction processing, as Verigon is looking for rare occurrences.

30
Q

Metroil Corporation has moved its data from an on-premises datacenter to Azure, including Azure Blob Storage and an Azure Data Lake Store. They took advantage of Azure SQL Managed Instance to migrate their databases to the cloud. They will develop cloud-based applications that consume this data.

Which of the following products and technologies offer machine learning features that might be usable by Metroil? (Choose all that apply.)

  • Azure Time Series Insights
  • SQL Server Machine Learning Services
  • Azure SQL Managed Instance Machine Learning Services
  • Azure Cognitive Services
  • Azure Machine Learning Service
A
  • Azure SQL Managed Instance Machine Learning Services
  • Azure Cognitive Services
  • Azure Machine Learning Service

Azure SQL Managed Instance Machine Learning Services provides in-database machine learning. It allows the running of Python and R scripts. You can use it to prepare and clean data or deploy machine learning models within a database.

Azure Cognitive Services might be of use to Metroil. The service has pre-built API’s that allow building intelligent applications quickly. The services allow apps to see, hear, and understand user needs with just a few lines of code.

Azure Machine Learning is a complete data science platform that may be useful to Metroil. It allows for building machine learning solutions using Python and other open-source tooling. For those developers who are new to machine learning, the Azure Machine Learning Studio is a no-coding-required learning and solution platform.

Azure Time Series Insights is not a machine learning product. The Azure Time Series Insights explorer is a data and trend visualization tool. It can be connected to Power BI to create dashboards.

SQL Server Machine Learning Services do not meet Metroil’s needs. While SQL Server Machine Learning Services are almost identical to Azure SQL Managed Instance Machine Learning Services, it is an on-premises option. Metroil’s data is in the cloud.

31
Q

Your company plans to develop Artificial Intelligence applications. You need a tool to publish models as web services that can be consumed by custom apps or BI tools such as Excel.

What should you use?

  • Azure Machine Learning service
  • Azure Blockchain
  • Azure Compute
  • Microsoft Azure Machine Learning Studio
A

Microsoft Azure Machine Learning Studio

You would use Microsoft Azure Machine Learning Studio. This is a tool from Azure Machine Learning service that allows you to have an interactive workspace, allowing you to create, test, and deploy predictive analytics solutions with your data. This tool publishes models as web services that can be used in BI tools or custom applications

You would not use Azure Machine Learning service. This service can train and manage learning models. This service can be used to forecast future behaviors. The question asked is for the tool, not the service.

You would not use Azure Blockchain. This service allows you to configure a blockchain infrastructure. A blockchain keeps a list of records that are linked by cryptography. A cryptographic hash keeps the timestamp of the transaction data.

You would not use Azure Compute. Azure Compute is a hosting model for the computing resources that hosts your applications.