NEW QUESTION 1

Your company has 1,000 AI developers who are responsible for provisioning environments in Azure. You need to control the type, size, and location of the resources that the developers can provision. What should you use?

• A. Azure Key Vault
• B. Azure service principals
• C. Azure managed identities
• D. Azure Security Center
• E. Azure Policy

Answer: B

Explanation:
When an application needs access to deploy or configure resources through Azure Resource Manager in
Azure Stack, you create a service principal, which is a credential for your application. You can then delegate only the necessary permissions to that service principal.
References:
https://docs.microsoft.com/en-us/azure/azure-stack/azure-stack-create-service-principals

NEW QUESTION 2

You design an AI solution that uses an Azure Stream Analytics job to process data from an Azure IoT hub. The IoT hub receives time series data from thousands of IoT devices at a factory.
The job outputs millions of messages per second. Different applications consume the messages as they are available. The messages must be purged.
You need to choose an output type for the job.
What is the best output type to achieve the goal? More than one answer choice may achieve the goal.

• A. Azure Event Hubs
• B. Azure SQL Database
• C. Azure Blob storage
• D. Azure Cosmos DB

Answer: D

Explanation:
Stream Analytics can target Azure Cosmos DB for JSON output, enabling data archiving and low-latency queries on unstructured JSON data.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-documentdb-output

NEW QUESTION 3

You need to configure security for an Azure Machine Learning service used by groups of data scientists. The groups must have access to only their own experiments and must be able to grant permissions to the members of their team.
What should you do? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

• A. Mastered
• B. Not Mastered

Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/machine-learning-server/operationalize/configure-roles#how-are-roles-assigne https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-assign-roles

NEW QUESTION 4

You create an image classification model in Azure Machine Learning Studio. You need to deploy the model as a containerized web service.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

• A. Mastered
• B. Not Mastered

Answer: A

Explanation:
The following diagram illustrates the complete deployment workflow: The deployment workflow includes the following steps:
Register the model in a registry hosted in your Azure Machine Learning Service workspace
Deploy the image as a web service in the cloud or to edge devices
Monitor and collect data
Update a deployment to use a new image.
References:
https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/service/concept-model-management-and-deploym

NEW QUESTION 5

You plan to design a solution for an Al implementation that uses data from loT devices.
You need to recommend a data storage solution for the loT devices that meets the following requirements:
•Allow data to be queried in real-time as it streams into the solution.
•Provide the lowest amount of latency for loading data into the solution. What should you include in the recommendation?

• A. a Microsoft Azure SQL database that has In-Memory OLTP enabled
• B. a Microsoft Azure HDInsight R Server cluster
• C. a Microsoft Azure Table Storage solution
• D. a Microsoft Azure HDInsight Hadoop cluster

Answer: D

Explanation:
You can use HDInsight to process streaming data that's received in real time from a variety of devices. Internet of Things (IoT)
You can use HDInsight to build applications that extract critical insights from data. You can also use Azure Machine Learning on top of that to predict future trends for your business.
By combining enterprise-scale R analytics software with the power of Apache Hadoop and Apache Spark, Microsoft R Server for HDInsight gives you the scale and performance you need. Multi-threaded math libraries and transparent parallelization in R Server handle up to 1000x more data and up to 50x faster speeds than open-source R, which helps you to train more accurate models for better predictions.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-introduction

NEW QUESTION 6

You are designing a solution that uses drones to monitor remote locations for anomalies. The drones have Azure loT Edge devices. The solution must meet the following requirements:
•Email a user the picture and location of an anomaly when an anomaly is detected.
•Use a video stream to detect anomalies at the location.
•Send the pictures and location information to Azure.
•Use the least amount of code possible.
You develop a custom vision Azure Machine Learning module to detect the anomalies.
Which service should you use for each requirement? To answer, drag the appropriate services to the correct requirements. Each service may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

• A. Mastered
• B. Not Mastered

Answer: A

Explanation:
Box 1: Azure IOT Edge Example:
You configure the Remote Monitoring solution to respond to anomalies detected by an IoT Edge device. IoT Edge devices let you process telemetry at the edge to reduce the volume of telemetry sent to the solution and to enable faster responses to events on devices.
Box 2: Azure Functions Box 3: Azure Logic Apps References:
https://docs.microsoft.com/en-us/azure/iot-accelerators/iot-accelerators-remote-monitoring-edge

NEW QUESTION 7

You need to build a pipeline for an Azure Machine Learning experiment.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.

• A. Mastered
• B. Not Mastered

Answer: A

Explanation:
References:
https://azure.microsoft.com/en-in/blog/experimentation-using-azure-machine-learning/ https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/machine-learning-modules

NEW QUESTION 8

You are designing an AI solution that will analyze millions of pictures.
You need to recommend a solution for storing the pictures. The solution must minimize costs. Which storage solution should you recommend?

• A. an Azure Data Lake store
• B. Azure File Storage
• C. Azure Blob storage
• D. Azure Table storage

Answer: C

Explanation:
Data Lake will be a bit more expensive although they are in close range of each other. Blob storage has more options for pricing depending upon things like how frequently you need to access your data (cold vs hot storage).
References:
http://blog.pragmaticworks.com/azure-data-lake-vs-azure-blob-storage-in-data-warehousing

NEW QUESTION 9

Your company recently purchased several hundred hardware devices that contains sensors.
You need to recommend a solution to process the sensor data. The solution must provide the ability to write back configuration changes to the devices.
What should you include in the recommendation?

• A. Microsoft Azure loT Hub
• B. API apps in Microsoft Azure App Service
• C. Microsoft Azure Event Hubs
• D. Microsoft Azure Notification Hubs

Answer: A

Explanation:
References:
https://azure.microsoft.com/en-us/resources/samples/functions-js-iot-hub-processing/

NEW QUESTION 10

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are deploying an Azure Machine Learning model to an Azure Kubernetes Service (AKS) container. You need to monitor the accuracy of each run of the model.
Solution: You configure Azure Application Insights.
Does this meet the goal?

• A. Yes
• B. No

Answer: A

NEW QUESTION 11

You are designing an Al workflow that will aggregate data stored in Azure as JSON documents. You expect to store more than 2 TB of new data daily.
You need to choose the data storage service for the data. The solution must minimize costs. Which data storage service should you choose?

• A. Azure File Storage
• B. Azure Manage Disks
• C. Azure Data Lake Storage
• D. Azure Blob storage

Answer: D

Explanation:
Generally, Data Lake will be a bit more expensive although they are in close range of each other. Blob storage has more options for pricing depending upon things like how frequently you need to access your data (cold vs hot storage). Data Lake is priced on volume, so it will go up as you reach certain tiers of volume.
References:
http://blog.pragmaticworks.com/azure-data-lake-vs-azure-blob-storage-in-data-warehousing

NEW QUESTION 12

Your company has a data team of Transact-SQL experts.
You plan to ingest data from multiple sources into Azure Event Hubs.
You need to recommend which technology the data team should use to move and query data from Event Hubs to Azure Storage. The solution must leverage the data team’s existing skills.
What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal.

• A. Azure Notification Hubs
• B. Azure Event Grid
• C. Apache Kafka streams
• D. Azure Stream Analytics

Answer: B

Explanation:
Event Hubs Capture is the easiest way to automatically deliver streamed data in Event Hubs to an Azure Blob storage or Azure Data Lake store. You can subsequently process and deliver the data to any other storage destinations of your choice, such as SQL Data Warehouse or Cosmos DB.
You to capture data from your event hub into a SQL data warehouse by using an Azure function triggered by an event grid.
Example:

First, you create an event hub with the Capture feature enabled and set an Azure blob storage as the destination. Data generated by WindTurbineGenerator is streamed into the event hub and is automatically captured into Azure Storage as Avro files.
Next, you create an Azure Event Grid subscription with the Event Hubs namespace as its source and the Azure Function endpoint as its destination.
Whenever a new Avro file is delivered to the Azure Storage blob by the Event Hubs Capture feature, Event Grid notifies the Azure Function with the blob URI. The Function then migrates data from the blob to a SQL data warehouse.
References:
https://docs.microsoft.com/en-us/azure/event-hubs/store-captured-data-data-warehouse

NEW QUESTION 13

You design an Al workflow that combines data from multiple data sources for analysis. The data sources are composed of:
• JSON files uploaded to an Azure Storage account
• On-premises Oracle databases
• Azure SQL databases
Which service should you use to ingest the data?

• A. Azure Data Factory
• B. Azure SQL Data Warehouse
• C. Azure Data Lake Storage
• D. Azure Databricks

Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/azure/data-factory/introduction

NEW QUESTION 14

You are building an Azure Analysis Services cube for your Al deployment.
The source data for the cube is located in an on premises network in a Microsoft SQL Server database. You need to ensure that the Azure Analysis Services service can access the source data.
What should you deploy to your Azure subscription?

• A. a site-to-site VPN
• B. a network gateway
• C. a data gateway
• D. Azure Data Factory

Answer: C

Explanation:
From April 2021 onward we can use On-premises Data Gateway for Azure Analysis Services. This means you can connect your Tabular Models hosted in Azure Analysis Services to your on-premises data sources through On-premises Data Gateway.

References:
https://biinsight.com/on-premises-data-gateway-for-azure-analysis-services/

NEW QUESTION 15

Your company has recently deployed 5,000 Internet-connected sensors for a planned AI solution.
You need to recommend a computing solution to perform a real-time analysis of the data generated by the sensors.
Which computing solution should you recommend?

• A. an Azure HDInsight Storm cluster
• B. Azure Notification Hubs
• C. an Azure HDInsight Hadoop cluster
• D. an Azure HDInsight R cluster

Answer: C

Explanation:
Azure HDInsight makes it easy, fast, and cost-effective to process massive amounts of data.
You can use HDInsight to process streaming data that's received in real time from a variety of devices. References:
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-introduction

NEW QUESTION 16

You are designing an AI solution that will analyze media data. The data will be stored in Azure Blob storage. You need to ensure that the storage account is encrypted by using a key generated by the hardware security module (HSM) of your company.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

• A. Mastered
• B. Not Mastered

Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/azure/storage/common/storage-encryption-keys-portal https://docs.microsoft.com/en-us/azure/key-vault/key-vault-hsm-protected-keys

NEW QUESTION 17

Your company plans to implement an Al solution that will analyse data from loT devices.
Data from the devices will be analysed in real time. The results of the analysis will be stored in a SQL database.
You need to recommend a data processing solution that uses the Transact-SQL language. Which data processing solution should you recommend?

• A. Azure Stream Analytics
• B. SQL Server Integration Services (SSIS)
• C. Azure Event Hubs
• D. Azure Machine Learning

Answer: A

Explanation:
References:
https://www.linkedin.com/pulse/getting-started-azure-iot-services-stream-analytics-rob-tiffany

NEW QUESTION 18

You plan to design an application that will use data from Azure Data Lake and perform sentiment analysis by using Azure Machine Learning algorithms.
The developers of the application use a mix of Windows- and Linux-based environments. The developers contribute to shared GitHub repositories.
You need all the developers to use the same tool to develop the application. What is the best tool to use? More than one answer choice may achieve the goal.

• A. Microsoft Visual Studio Code
• B. Azure Notebooks
• C. Azure Machine Learning Studio
• D. Microsoft Visual Studio

Answer: C

Explanation:
References:
https://github.com/MicrosoftDocs/azure-docs/blob/master/articles/machine-learning/studio/algorithm-choice.md

NEW QUESTION 19

You need to build an API pipeline that analyzes streaming data. The pipeline will perform the following:
Visual text recognition
Audio transcription
Sentiment analysis
Face detection
Which Azure Cognitive Services should you use in the pipeline?

• A. Custom Speech Service
• B. Face API
• C. Text Analytics
• D. Video Indexer

Answer: D

Explanation:
Azure Video Indexer is a cloud application built on Azure Media Analytics, Azure Search, Cognitive Services (such as the Face API, Microsoft Translator, the Computer Vision API, and Custom Speech Service). It enables you to extract the insights from your videos using Video Indexer video and audio models described below:
Visual text recognition (OCR): Extracts text that is visually displayed in the video. Audio transcription: Converts speech to text in 12 languages and allows extensions.
Sentiment analysis: Identifies positive, negative, and neutral sentiments from speech and visual text. Face detection: Detects and groups faces appearing in the video.
References:
https://docs.microsoft.com/en-us/azure/media-services/video-indexer/video-indexer-overview

NEW QUESTION 20

Your company develops an AI application that is orchestrated by using Kubernetes. You need to deploy the application.
Which three actions should you perform? Each correct answer presents part of the solution. NOTE: Each
correct selection is worth one point.

• A. Create a Kubernetes cluster.
• B. Create an Azure Container Registry instance.
• C. Create a container image file.
• D. Create a Web App for Containers.
• E. Create an Azure container instance.

Answer: ABC

Explanation:
References:
https://docs.microsoft.com/en-us/azure/aks/tutorial-kubernetes-prepare-app

NEW QUESTION 21
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