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Microsoft AI-100 Designing and Implementing an Azure AI Solution
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Pass4itsure offers the latest Microsoft AI-100 practice test free of charge 1-13
QUESTION 1
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
Correct Answer: C
References: https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-deploy-stream-analytics
QUESTION 2
HOTSPOT
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 plan to deploy an application that will perform image recognition. The application will store image data in two Azure
Blob storage stores named Blob1 and Blob2. You need to recommend a security solution that meets the following
requirements:
1.
Access to Blob1 must be controlled by using a role.
2.
Access to Blob2 must be time-limited and constrained to specific operations.
What should you recommend using to control access to each blob store? To answer, select the appropriate options in
the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
Correct Answer:
References: https://docs.microsoft.com/en-us/azure/storage/common/storage-auth
QUESTION 3
You plan to design a solution for an AI implementation that uses data from IoT devices.
You need to recommend a data storage solution for the IoT devices that meets the following requirements:
1.
Allow data to be queried in real-time as it streams into the solution.
2.
Provide the lowest amount of latency for loading data into the solution. What should you include in the
recommendation?
A. a Microsoft Azure Table Storage solution
B. a Microsoft Azure HDInsight R Server cluster
C. a Microsoft Azure HDInsight Hadoop cluster
D. a Microsoft Azure SQL database that has In-Memory OLTP enabled
Correct Answer: C
You can use HDInsight to process streaming data that\\’s received in real-time from a variety of devices.
Internet of Things (IoT)
You can use HDInsight to build applications that extract critical insights from data. You can also use Azure Machine
Learning on top of that to predict future trends for your business.
By combining enterprise-scale R analytics software with the power of Apache Hadoop and Apache Spark, Microsoft R
Server for HDInsight gives you the scale and performance you need. Multi-threaded math libraries and transparent
parallelization in R Server handle up to 1000x more data and up to 50x faster speeds than open-source R, which helps
you to train more accurate models for better predictions.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-introduction
QUESTION 4
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 modify the scoring file.
Does this meet the goal?
A. Yes
B. No
Correct Answer: B
QUESTION 5
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 need to create an IoT solution that performs the following tasks:
1.
Identifies hazards
2.
Provides a real-time online dashboard
3.
Takes images of an area every minute
4.
Counts the number of people in an area every minute
Solution: You configure the IoT devices to send the images to an Azure IoT hub, and then you configure an Azure
Automation call to Azure Cognitive Services that sends the results to an Azure event hub. You configure Microsoft
Power BI to
connect to the event hub by using Azure Stream Analytics.
Does this meet the goal?
A. Yes
B. No
Correct Answer: B
Instead, use Cognitive Services containers on the IoT devices.
References: https://azure.microsoft.com/es-es/blog/running-cognitive-services-on-iot-edge/
https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-live-data-visualization-in-power-bi
QUESTION 6
You have an SAP production landscape.
You plan to use Azure Machine Learning to develop a fraud detection API. The API will identify potentially fraudulent
transactions in the SAP production landscape in near real-time.
You need to recommend a workflow for the API.
What should you recommend?
A. an Azure Data Factory pipeline that uses an SAP table connector and a Machine Learning Execute Pipeline activity
B. a Microsoft Excel workbook that imports SAP transactions and uses the Excel add-in for web services to score the
transactions
C. an Azure logic app triggered by an SAP message that calls the API and sends an email based on the results
D. a scheduled Jupyter Notebook in Azure Databricks that connects to SAP HANA
Correct Answer: A
QUESTION 7
HOTSPOT
You are designing a Custom Vision Service solution to identify fresh produce in grocery stores. The solution will be
deployed as part of a mobile app.
You need to recommend the configurations for the Custom Vision API. The solution must minimize the size of the
mobile app.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
Correct Answer:
Box 1:
Project type: Classification
Box 2:
Domain: Food (compact)
If you want to classify photographs of individual fruits or vegetables, use the Food domain. Compact domains are
optimized for the constraints of real-time classification on mobile devices.
Box 3:
Export capability: Vision AI Dev Kit
Custom Vision Service supports the following exports:
1.
Tensorflow for Android.
2.
CoreML for iOS11.
3.
ONNX for Windows ML.
4.
Vision AI Developer Kit.
5.
A Docker container for Windows, Linux, or ARM architecture.
Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/select-domain
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/export-your-model
QUESTION 8
You have Azure IoT Edge devices that collect measurements every 30 seconds.
You plan to send the measurements to an Azure IoT hub.
You need to process events in the cloud.
What should you use?
A. Apache Kafka
B. Azure Stream Analytics record functions
C. Azure Stream Analytics windowing functions
D. Azure Machine Learning on the IoT Edge devices
Correct Answer: D
Use Azure Notebooks to develop a machine learning module and deploy it to a Linux device running Azure IoT Edge.
You can use IoT Edge modules to deploy code that implements your business logic directly to your IoT Edge devices.
References: https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-deploy-machine-learning
QUESTION 9
Your company plans to implement an AI solution that will analyze data from IoT devices.
Data from the devices will be analyzed in real time. The results of the analysis will be stored in a SQL database.
You need to recommend a data processing solution that uses the Transact-SQL language.
Which data processing solution should you recommend?
A. Azure Stream Analytics
B. SQL Server Integration Services (SSIS)
C. Azure Event Hubs
D. Azure Machine Learning
Correct Answer: A
References: https://www.linkedin.com/pulse/getting-started-azure-iot-services-stream-analytics-rob-tiffany
QUESTION 10
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
QUESTION 11
DRAG DROP
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.
Select and Place:
The following diagram illustrates the complete deployment workflow:
The deployment workflow includes the following steps:
1.
Register the model in a registry hosted in your Azure Machine Learning Service workspace
2.
Register an image that pairs a model with a scoring script and dependencies in a portable container
3.
Deploy the image as a web service in the cloud or to edge devices
4.
Monitor and collect data
5.
Update deployment to use a new image.
References: https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/service/concept-model-management-anddeployment#step-3-deploy-image
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 need to create an IoT solution that performs the following tasks:
1.
Identifies hazards
2.
Provides a real-time online dashboard
3.
Takes images of an area every minute
4.
Counts the number of people in an area every minute
Solution: You implement Azure Cognitive Services containers on the IoT devices, and then you configure results to be
sent to an Azure IoT hub. You configure Microsoft Power BI to connect to the IoT hub by using Azure Stream Analytics.
Does this meet the goal?
A. Yes
B. No
Correct Answer: A
There is support for running Azure Cognitive Services containers for Text Analytics and Language Understanding
containers on edge devices with Azure IoT Edge. This means that all your workloads can be run locally where your data
is
being generated while keeping the simplicity of the cloud to manage them remotely, securely and at scale.
You would have to set up an IoT Edge device and its IoT Hub.
Note: Azure Stream Analytics enables you to take advantage of one of the leading business intelligence tools, Microsoft
Power BI.
Get your IoT hub ready for data access by adding a consumer group.
Create, configure, and run a Stream Analytics job for data transfer from your IoT hub to your Power BI account.
Create and publish a Power BI report to visualize the data.
References:
https://azure.microsoft.com/es-es/blog/running-cognitive-services-on-iot-edge/
https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-live-data-visualization-in-power-bi
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 have an Azure SQL database, an Azure Data Lake Storage Gen 2 account, and an API developed by using Azure
Machine Learning Studio.
You need to ingest data once daily from the database, score each row by using the API, and write the data to the
storage account.
Solution: You create a scheduled Jupyter Notebook in Azure Databricks.
Does this meet the goal?
A. Yes
B. No
Correct Answer: B
We need to schedule the job in Azure Data Factory.
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