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Microsoft AI-100 Online Exam Practice Questions
QUESTION 1
You have an intelligent edge solution that processes data and outputs the data to an Azure Cosmos DB account that
uses the SQL API.
You need to ensure that you can perform full text searches of the data.
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.
Select and Place:
Correct Answer:
QUESTION 2
You are designing a solution that will ingest temperature data from IoT devices, calculate the average temperature, and
then take action based on the aggregated data. The solution must meet the following requirements:
Minimize the amount of uploaded data.
Take action based on the aggregated data as quickly as possible.
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.
Hot Area:
Correct Answer:
Box 1: Azure Functions
Azure Function is a (serverless) service to host functions (little piece of code) that can be used for e. g. event driven
applications.
General rule is always difficult since everything depends on your requirement but if you have to analyze a data stream,
you should take a look at Azure Stream Analytics and if you want to implement something like a serverless event driven
or
timer-based application, you should check Azure Function or Logic Apps.
Note: Azure IoT Edge allows you to deploy complex event processing, machine learning, image recognition, and other
high value AI without writing it in-house. Azure services like Azure Functions, Azure Stream Analytics, and Azure
Machine
Learning can all be run on-premises via Azure IoT Edge.
Box 2: An Azure IoT Edge device
Azure IoT Edge moves cloud analytics and custom business logic to devices so that your organization can focus on
business insights instead of data management.
References:
QUESTION 3
Your company recently deployed several hardware devices that contain sensors. The sensors generate new data on an
hourly basis. The data generated is stored on-premises and retained for several years.
During the past two months, the sensors generated 300 GB of data. You plan to move the data to Azure and then
perform advanced analytics on the data. You need to recommend an Azure storage solution for the data.
Which storage solution should you recommend?
A. Azure Queue storage
B. Azure Cosmos DB
C. Azure Blob storage
D. Azure SQL Database
Correct Answer: C
References: https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/data-storage
QUESTION 4
Your company has an Azure subscription that contains an Azure Active Directory (Azure AD) tenant.
Azure AD contains 500 user accounts for your company\\’s employees. Some temporary employees do NOT have user accounts in Azure AD You are designing a storage solution for video files and metadata files.
You plan to deploy an application to perform analysis of the metadata files. You need to recommend an authentication
solution to provide links to the video files. The solution must provide access to each file for only five minutes.
What should you include in the in the recommendation?
A. Secondary Storage Key
B. Primary Storage Key
C. Shared Access Signature
D. Azure Active Directory
Correct Answer: A
QUESTION 5
Your company plans to deploy an AI solution that processes IoT data in real-time. You need to recommend a solution
for the planned deployment that meets the following requirements:
Sustain up to 50 Mbps of events without throttling.
Retain data for 60 days.
What should you recommend?
A. Apache Kafka
B. Microsoft Azure IoT Hub
C. Microsoft Azure Data Factory
D. Microsoft Azure Machine Learning
Correct Answer: A
Apache Kafka is an open-source distributed streaming platform that can be used to build real-time streaming data
pipelines and applications.
QUESTION 6
You deploy an infrastructure for a big data workload. You need to run Azure HDInsight and Microsoft Machine Learning
Server. You plan to set the RevoScaleR compute contexts to run rx function calls in parallel.
What are three compute contexts that you can use for Machine Learning Server? Each correct answer presents a
complete solution. NOTE: Each correct selection is worth one point.
A. SQL
B. Spark
C. local parallel
D. HBase
E. local sequential
Correct Answer: ABC
Remote computing is available for specific data sources on selected platforms. The following tables document the
supported combinations.
RxInSqlServer, sqlserver: Remote compute context. Target server is a single database node (SQL Server 2016 R
Services or SQL Server 2017 Machine Learning Services). Computation is parallel, but not distributed.
RxSpark, spark: Remote compute context. Target is a Spark cluster on Hadoop. RxLocalParallel, localpar: Compute
context is often used to enable controlled, distributed computations relying on instructions you provide rather than a built in
scheduler on Hadoop. You can use compute context for manual distributed computing.
References:
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