A Review Of Approved AI-100 Test Question

NEW QUESTION 1

Which RBAC role should you assign to the KeyManagers group?

• A. Cognitive Services Contributor
• B. Security Manager
• C. Cognitive Services User
• D. Security Administrator

Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/azure/role-based-access-control/built-in-roles

NEW QUESTION 2

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 3

You plan to deploy Azure loT Edge devices that will each store more than 10,000 images locally and classify the images by using a Custom Vision Service classifier. Each image is approximately 5 MB.
You need to ensure that the images persist on the devices for 14 days. What should you use?

• A. the device cache
• B. Azure Blob storage on the loT Edge devices
• C. Azure Stream Analytics on the loT Edge devices
• D. Microsoft SQL Server on the loT Edge devices

Answer: B

Explanation:
References:
https://docs.microsoft.com/en-us/azure/iot-edge/how-to-store-data-blob

NEW QUESTION 4

You are developing a mobile application that will perform optical character recognition (OCR) from photos. The application will annotate the photos by using metadata, store the photos in Azure Blob storage, and then score the photos by using an Azure Machine Learning model.
What should you use to process the data?

• A. Azure Event Hubs
• B. Azure Functions
• C. Azure Stream Analytics
• D. Azure Logic Apps

Answer: A

NEW QUESTION 5

You have a container image that contains an Al solution. The solution will be used on demand and will only be needed a few hours each month.
You plan to use Azure Functions to deploy the environment on-demand.
You need to recommend the deployment process. The solution must minimize costs.
Which four actions should you recommend Azure Functions 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:

NEW QUESTION 6

You have Azure IoT Edge devices that generate measurement data from temperature sensors. The data changes very slowly.
You need to analyze the data in a temporal two-minute window. If the temperature rises five degrees above a limit, an alert must be raised. The solution must minimize the development of custom code.
What should you use?

• A. A Machine Learning model as a web service
• B. an Azure Machine Learning model as an IoT Edge module
• C. Azure Stream Analytics as an IoT Edge module
• D. Azure Functions as an IoT Edge module

Answer: C

Explanation:
References:
https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-deploy-stream-analytics

NEW QUESTION 7

Your company has a data team of Scala and R experts.
You plan to ingest data from multiple Apache Kafka streams.
You need to recommend a processing technology to broker messages at scale from the Kafka streams to Azure Storage.
What should you recommend?

• A. Azure Databricks
• B. Azure Functions
• C. Azure HDInsight with Apache Storm
• D. Azure HDInsight with Microsoft Machine Learning Server

Answer: C

Explanation:
References:
https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-streaming-at-scale-overview?toc=https%3A%2F%2

NEW QUESTION 8

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 9

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 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 in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing an application that uses an Azure Kubernetes Service (AKS) cluster. You are troubleshooting a node issue.
You need to connect to an AKS node by using SSH.
Solution: You run the kubect1 command, and then you create an SSH connection.
Does this meet the goal?

• A. Yes
• B. No

Answer: B

NEW QUESTION 11

You need to design the workflow for an Azure Machine Learning solution. The solution must meet the following requirements:
Retrieve data from file shares, Microsoft SQL Server databases, and Oracle databases that in an on-premises network.
Use an Apache Spark job to process data stored in an Azure SQL Data Warehouse database.
Which service should you use to meet 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:
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/use-data-from-an-on-premises-sql-server https://docs.microsoft.com/en-in/azure/azure-databricks/what-is-azure-databricks

NEW QUESTION 12

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 13

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 14

You create an Azure Cognitive Services resource.
A data scientist needs to call the resource from Azure Logic Apps.
Which two values should you provide to the data scientist? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

• A. endpoint URL
• B. resource name
• C. access key
• D. resource group name
• E. subscription ID

Answer: DE

Explanation:
References:
https://social.technet.microsoft.com/wiki/contents/articles/36074.logic-apps-with-azure-cognitive-service.aspx

NEW QUESTION 15

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 in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing an application that uses an Azure Kubernetes Service (AKS) cluster. You are troubleshooting a node issue.
You need to connect to an AKS node by using SSH.
Solution: You create a managed identity for AKS, and then you create an SSH connection. Does this meet the goal?

• A. Yes
• B. No

Answer: B

Explanation:
Instead add an SSH key to the node, and then you create an SSH connection. References:
https://docs.microsoft.com/en-us/azure/aks/ssh

NEW QUESTION 16

You need to design the Butler chatbot solution to meet the technical requirements.
What is the best channel and pricing tier to use? More than one answer choice may achieve the goal Select the BEST answer.

• A. standard channels that use the S1 pricing tier
• B. standard channels that use the Free pricing tier
• C. premium channels that use the Free pricing tier
• D. premium channels that use the S1 pricing tier

Answer: D

Explanation:
References:
https://azure.microsoft.com/en-in/pricing/details/bot-service/

NEW QUESTION 17

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 18

You are designing an Al application that will use an Azure Machine Learning Studio experiment. The source data contains more than 200 TB of relational tables. The experiment will run once a month. You need to identify a data storage solution for the application. The solution must minimize compute costs. Which data storage solution should you identify?

• A. Azure Database for MySQL
• B. Azure SQL Database
• C. Azure SQL Data Warehouse

Answer: B

Explanation:
References:
https://azure.microsoft.com/en-us/pricing/details/sql-database/single/

NEW QUESTION 19

You have an Azure Machine Learning model that is deployed to a web service. You plan to publish the web service by using the name ml.contoso.com.
You need to recommend a solution to ensure that access to the web service is encrypted. Which three actions should you recommend? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

• A. Generate a shared access signature (SAS)
• B. Obtain an SSL certificate
• C. Add a deployment slot
• D. Update the web service
• E. Update DNS
• F. Create an Azure Key Vault

Answer: BDE

Explanation:
The process of securing a new web service or an existing one is as follows:
1. Get a domain name.
2. Get a digital certificate.
3. Deploy or update the web service with the SSL setting enabled.
4. Update your DNS to point to the web service.
Note: To deploy (or re-deploy) the service with SSL enabled, set the ssl_enabled parameter to True, wherever applicable. Set the ssl_certificate parameter to the value of the certificate file and the ssl_key to the value of
the key file. References:
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-secure-web-service

NEW QUESTION 20

You create an Azure Cognitive Services resource.
You develop needs to be able to retrieve the keys used by the resource. The solution must use the principle of least privilege.
What is the best role to assign to the developer? More than one answer choice may achieve the goal.

• A. Security Manager
• B. Security Reader
• C. Cognitive Services Contributor
• D. Cognitive Services User

Answer: D

Explanation:
The Cognitive Services User lets you read and list keys of Cognitive Services. References:
https://docs.microsoft.com/en-us/azure/role-based-access-control/built-in-roles

NEW QUESTION 21

A data scientist deploys a deep learning model on an Fsv2 virtual machine. Data analysis is slow.
You need to recommend which virtual machine series the data scientist must use to ensure that data analysis occurs as quickly as possible.
Which series should you recommend?

• A. ND
• B. B
• C. DC
• D. Ev3

Answer: A

Explanation:
The N-series is a family of Azure Virtual Machines with GPU capabilities. GPUs are ideal for compute and graphics-intensive workloads, helping customers to fuel innovation through scenarios like high-end remote
visualisation, deep learning and predictive analytics.
The ND-series is focused on training and inference scenarios for deep learning. It uses the NVIDIA Tesla P40 GPUs. The latest version - NDv2 - features the NVIDIA Tesla V100 GPUs.
References:
https://azure.microsoft.com/en-in/pricing/details/virtual-machines/series/

NEW QUESTION 22

You are designing an AI solution that will provide feedback to teachers who train students over the Internet. The students will be in classrooms located in remote areas. The solution will capture video and audio data of the students in the classrooms.
You need to recommend Azure Cognitive Services for the AI solution to meet the following requirements: Alert teachers if a student seems angry or distracted.
Identify each student in the classrooms for attendance purposes.
Allow the teachers to log the text of conversations between themselves and the students. Which Cognitive Services should you recommend?

• A. Computer Vision, Text Analytics, and Face API
• B. Video Indexer, Face API, and Text Analytics
• C. Computer Vision, Speech to Text, and Text Analytics
• D. Text Analytics, QnA Maker, and Computer Vision
• E. Video Indexer, Speech to Text, and Face API

Answer: E

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.
Face API enables you to search, identify, and match faces in your private repository of up to 1 million people. The Face API now integrates emotion recognition, returning the confidence across a set of emotions for each face in the image such as anger, contempt, disgust, fear, happiness, neutral, sadness, and surprise. These emotions are understood to be cross-culturally and universally communicated with particular facial expressions.
Speech-to-text from Azure Speech Services, also known as speech-to-text, enables real-time transcription of audio streams into text that your applications, tools, or devices can consume, display, and take action on as command input. This service is powered by the same recognition technology that Microsoft uses for Cortana and Office products, and works seamlessly with the translation and text-to-speech.

NEW QUESTION 23

You need to build and deploy a real-time media bot for Microsoft Skype on an Azure virtual machine. The bot will use the Azure Bot Service. The solution must minimize custom code.
Which environment and language should you use to develop the bot? 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/microsoftteams/platform/concepts/calls-and-meetings/requirements-considerati

NEW QUESTION 24

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 25
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