Microsoft Role-based AI-100 Questions & Answers

• Question 11:

  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 scoring accuracy of each run of the model.

  Solution: You configure Azure Monitor for containers.

  Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: B

• Question 12:

  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 scoring accuracy of each run of the model.

  Solution: You configure Azure Application Insights.

  Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: A

  References: https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-enable-data-collection

  https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-enable-app-insights

• Question 13:

  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 create several API models in Azure Machine Learning Studio.

  You deploy the models to a production environment.

  You need to monitor the compute performance of the models.

  Solution: You create environment files.

  Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: B

  You need to enable Model data collection.

  References: https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-enable-data-collection

• Question 14:

  You deploy an Azure bot.

  You need to collect Key Performance Indicator (KPI) data from the bot. The type of data includes:

  1.

  The number of users interacting with the bot

  2.

  The number of messages interacting with the bot

  3.

  The number of messages on different channels received by the bot

  4.

  The number of users and messages continuously interacting with the bot What should you configure?

  A. Bot analytics

  B. Azure Monitor

  C. Azure Analysis Services

  D. Azure Application Insights

  Correct Answer: A

  References: https://docs.microsoft.com/en-us/azure/bot-service/bot-service-manage-analytics?view=azure-bot-service-4.0

• Question 15:

  Your company develops an API 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.

  Correct Answer: ABC

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

• Question 16:

  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 have Azure IoT Edge devices that generate streaming data.

  On the devices, you need to detect anomalies in the data by using Azure Machine Learning models. Once an anomaly is detected, the devices must add information about the anomaly to the Azure IoT Hub stream.

  Solution: You deploy an Azure Machine Learning model as an IoT Edge module.

  Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: A

  You can use IoT Edge modules to deploy code that implements your business logic directly to your IoT Edge devices. For example, you can deploy an Azure Machine Learning module that predicts when a device fails based on simulated machine temperature data.

  References: https://docs.microsoft.com/bs-latn-ba/azure/iot-edge/tutorial-deploy-machine-learning

• Question 17:

  You plan to deploy a global healthcare app named App1 to Azure.

  App1 will use Azure Cognitive Services APIs. Users in Germany, Canada, and the United States will connect to App1.

  You need to recommend an app deployment solution to ensure that all the personal data of the users remain in their country or origin only.

  Which three Azure services should you recommend deploying to each Azure region? Each correct answer presents part of the solution.

  NOTE: Each correct selection is worth one point.

  A. Azure Key Vault

  B. Azure Traffic Manager

  C. Azure Kubernetes Service (AKS)

  D. App1

  E. the Cognitive Services resources

  F. an Azure Storage resource

  Correct Answer: ADF

  References: https://github.com/microsoft/computerscience/blob/master/Labs/Azure%20Services/Azure%20Storage/Azure%20Storage%20and%20Cognitive%20Services%20(MVC).md

• Question 18:

  You have an Azure Machine Learning experiment that must comply with GDPR regulations. You need to track compliance of the experiment and store documentation about the experiment.

  What should you use?

  A. Azure Table storage

  B. Azure Security Center

  C. An Azure Log Analytics workspace

  D. Compliance Manager

  Correct Answer: D

  References: https://azure.microsoft.com/en-us/blog/new-capabilities-to-enable-robust-gdpr-compliance/

• Question 19:

  You are developing an application that will perform optical character recognition of photos of medical logbooks.

  You need to recommend a solution to validate the data against a validated set of records.

  Which service should you include in the recommendation?

  A. Azure Data Catalog

  B. Text Analytics

  C. Bing Autosuggest

  D. Master Data Services (MDS) in Microsoft SQL Server

  Correct Answer: D

  References: https://docs.microsoft.com/en-us/sql/master-data-services/validation-master-data-services?view=sql-server-2017

• Question 20:

  You are designing an AI application that will perform real-time processing by using Microsoft Azure Stream Analytics.

  You need to identify the valid outputs of a Stream Analytics job.

  What are three possible outputs? Each correct answer presents a complete solution.

  NOTE: Each correct selection is worth one point.

  A. A Hive table in Azure HDInsight

  B. Azure SQL Database

  C. Azure Cosmos DB

  D. Azure Blob storage

  E. Azure Redis Cache

  Correct Answer: BCD

  References: https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-outputs