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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 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 create several Al 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 enable Model data collection.
Does this meet the goal?

A. Yes
B. No

Answer: A
Explanation:
You need to enable Model data collection.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-enable-data-collection

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 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 create several Al 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 enable Applnsights diagnostics.
Does this meet the goal?

A. Yes
B. No

Answer: B
Explanation:
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
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 create several Al 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

Answer: A

QUESTION 15
You deploy an application that performs sentiment analysis on the data stored in Azure Cosmos DB. Recently, you loaded a large amount of data to the database. The data was for a customer named Contoso. Ltd.
You discover that queries for the Contoso data are slow to complete, and the queries slow the entire application.
You need to reduce the amount of time it takes for the queries to complete. The solution must minimize costs.
What is the best way to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.

A. Change the requests units.
B. Change the partitioning strategy.
C. Change the transaction isolation level.
D. Migrate the data to the Cosmos DB database.

Answer: AC

QUESTION 16
You have an Al application that uses keys in Azure Key Vault. Recently, a key used by the application was deleted accidentally and was unrecoverable. You need to ensure that if a key is deleted, it is retained in the key vault for 90 days. Which two features should you configure? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point

A. the expiration date on the keys
B. soft delete
C. purge protection
D. auditors
E. the activation date on the keys

Answer: AE

QUESTION 17
You deploy an Azure bot.
You need to collect Key Performance Indicator (KPI) data from the bot.
The type of data includes:
– The number of users interacting with the bot
– The number of messages interacting with the bot
– The number of messages on different channels received by the bot
– 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

Answer: C

QUESTION 18
You need to configure versioning and logging for Azure Machine Learning models.
Which Machine Learning service application should you use?

A. models
B. activities
C. experiments
D. pipelines
E. deployments

Answer: C

QUESTION 19
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: CDE

QUESTION 20
You create an Azure Machine Learning Studio experiment. You plan to publish the experiment as a Machine Learning Web service. You need to ensure that you can consume the web service from Microsoft Excel spreadsheets.
What should you use?

A. a Batch Execution Service (BES) and an Azure managed identity
B. a Request-Response Service (RRS) and an Azure managed identity
C. a Request-Response Service (RRS) and an API key
D. a Batch Execution Service (BES) and an API key

Answer: D
Explanation:
Steps to Add a New web service
1. Deploy a web service or use an existing Web service.
2. Click Consume.
3. Look for the Basic consumption info section. Copy and save the Primary Key and the Request-Response URL.
4. In Excel, go to the Web Services section (if you are in the Predict section, click the back arrow to go to the list of web services).
5. Click Add Web Service.
6. Paste the URL into the Excel add-in text box labeled URL.
7. Paste the API/Primary key into the text box labeled API key.
8. Click Add.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/excel-add-in-for-web-services

QUESTION 21
You plan to implement a new data warehouse for a planned AI solution.
You have the following information regarding the data warehouse:
– The data files will be available in one week.
– Most queries that will be executed against the data warehouse will be ad-hoc queries.
– The schemas of data files that will be loaded to the data warehouse will change often.
– One month after the planned implementation, the data warehouse will contain 15 TB of data.
You need to recommend a database solution to support the planned implementation.
What two solutions should you include in the recommendation? Each correct answer is a complete solution.
NOTE: Each correct selection is worth one point.

A. Apache Hadoop
B. Apache Spark
C. a Microsoft Azure SQL database
D. an Azure virtual machine that runs Microsoft SQL Server

Answer: AB

QUESTION 22
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


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