AI-100 Dumps

AI-100 Free Practice Test

Microsoft AI-100: Designing and Implementing an Azure AI Solution

QUESTION 16

- (Exam Topic 2)
You are designing a solution that will ingest data from an Azure loT Edge device, preprocess the data in Azure Machine Learning, and then move the data to Azure HDInsight for further processing.
What should you include in the solution? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Solution:
Box 1: Export Data
The Export data to Hive option in the Export Data module in Azure Machine Learning Studio. This option is useful when you are working with very large datasets, and want to save your machine learning experiment data to a Hadoop cluster or HDInsight distributed storage.
Box 2: Apache Hive
Apache Hive is a data warehouse system for Apache Hadoop. Hive enables data summarization, querying, and analysis of data. Hive queries are written in HiveQL, which is a query language similar to SQL.
Box 3: Azure Data Lake
Default storage for the HDFS file system of HDInsight clusters can be associated with either an Azure Storage account or an Azure Data Lake Storage.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/export-to-hive-query https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/hdinsight-use-hive

Does this meet the goal?

Correct Answer: A

QUESTION 17

- (Exam Topic 2)
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.

Correct Answer: BDE
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

QUESTION 18

- (Exam Topic 2)
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?

Correct Answer: C
References:
https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-streaming-at-scale-overview?toc=https:/%2

QUESTION 19

- (Exam Topic 1)
You need to integrate the new Bookings app and the Butler chatbot.
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.

Solution:
References:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-channel-connect-webchat?view=azure-bot-servic

Does this meet the goal?

Correct Answer: A

QUESTION 20

- (Exam Topic 2)
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.

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