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AI-100 Exam Prep Free

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  • AI-100 Exam Prep Free – 50 Practice Questions to Get You Ready for Exam Day
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AI-100 Exam Prep Free – 50 Practice Questions to Get You Ready for Exam Day

Getting ready for the AI-100 certification? Our AI-100 Exam Prep Free resource includes 50 exam-style questions designed to help you practice effectively and feel confident on test day

Effective AI-100 exam prep free is the key to success. With our free practice questions, you can:

  • Get familiar with exam format and question style
  • Identify which topics you’ve mastered—and which need more review
  • Boost your confidence and reduce exam anxiety

Below, you will find 50 realistic AI-100 Exam Prep Free questions that cover key exam topics. These questions are designed to reflect the structure and challenge level of the actual exam, making them perfect for your study routine.

Question 1

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:
 Image

 


Suggested Answer:
Correct Answer Image

The following diagram illustrates the complete deployment workflow:
Reference Image
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 a deployment to use a new image.
References: alt=”Reference Image” />
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 a deployment to use a new image.
References:
https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/service/concept-model-management-and-deployment#step-3-deploy-image

Question 2

Your company has several AI solutions and bots.
You need to implement a solution to monitor the utilization of the bots. The solution must ensure that analysts at the company can generate dashboards to review the utilization.
What should you include in the solution?

A. Azure Application Insights

B. Azure Data Explorer

C. Azure Logic Apps

D. Azure Monitor

 


Suggested Answer: A

Bot Analytics.
Analytics is an extension of Application Insights. Application Insights provides service-level and instrumentation data like traffic, latency, and integrations. Analytics provides conversation-level reporting on user, message, and channel data.
References:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-manage-analytics

Question 3

You are designing an AI solution that will analyze millions of pictures by using Azure HDInsight Hadoop cluster.
You need to recommend a solution for storing the pictures. The solution must minimize costs.
Which storage solution should you recommend?

A. Azure Table storage

B. Azure File Storage

C. Azure Data Lake Storage Gen2

D. Azure Databricks File System

 


Suggested Answer: C

Azure Data Lake Store is optimized for storing large amounts of data for reporting and analytical and is geared towards storing data in its native format, making it a great store for non-relational data.
Reference:
https://stackify.com/store-data-azure-understand-azure-data-storage-options/

Question 4

You are designing an AI solution in Azure that will perform image classification.
You need to identify which processing platform will provide you with the ability to update the logic over time. The solution must have the lowest latency for inferencing without having to batch.
Which compute target should you identify?

A. graphics processing units (GPUs)

B. field-programmable gate arrays (FPGAs)

C. central processing units (CPUs)

D. application-specific integrated circuits (ASICs)

 


Suggested Answer: B

FPGAs, such as those available on Azure, provide performance close to ASICs. They are also flexible and reconfigurable over time, to implement new logic.
Incorrect Answers:
D: ASICs are custom circuits, such as Google’s TensorFlow Processor Units (TPU), provide the highest efficiency. They can’t be reconfigured as your needs change.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/service/concept-accelerate-with-fpgas

Question 5

You are developing a bot for an ecommerce application. The bot will support five languages.
The bot will use Language Understanding (LUIS) to detect the language of the customer, and QnA Maker to answer common customer questions. LUIS supports all the languages.
You need to determine the minimum number of Azure resources that you must create for the bot.
You create one instance of QnA Maker and five instances Language Understanding (LUIS).
Does this action accomplish your objective?

A. Yes, it does

B. No, it does not

 


Suggested Answer: B

You need to have a new QnA Maker resource for each language.
If LUIS supports all the languages, you develop a LUIS app for each language. Each LUIS app has a unique app ID, and endpoint log. If you need to provide language understanding for a language LUIS does not support, you can use Microsoft Translator API to translate the utterance into a supported language, submit the utterance to the LUIS endpoint, and receive the resulting scores.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/language-support
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-language-support

Question 6

Your company is developing an AI solution that will identify inappropriate text in multiple languages.
You need to implement a Cognitive Services API that meets this requirement.
You use the Text Analytics API to identify inappropriate text.
Does this action accomplish your objective?

A. Yes, it does

B. No, it does not

 


Suggested Answer: B

The Text Analytics API is a cloud-based service that provides advanced natural language processing over raw text, and includes four main functions: sentiment analysis, key phrase extraction, named entity recognition, and language detection.
Use Content Moderation instead.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/
https://docs.microsoft.com/bs-latn-ba/azure/cognitive-services/content-moderator/overview

Question 7

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 and account for missing data.
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

 


Suggested 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.
Use Clean Missing Data module in Azure Machine Learning to to remove, replace, or infer missing values.
Reference:
https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-deploy-machine-learning

Question 8

You are using the Text Analytics service to create an AI system that analyses documents.
You want to implement a natural language processing workload that will be able to recognize the important points used in the documents.
Which of the following actions should you take?

A. Make use of Language Understanding (LUIS)

B. Make use of Key phrase extraction

C. Make use of Document categorization

D. Make use of Anomaly detection

 


Suggested Answer: B

Broad entity extraction: Identify important concepts in text, including key
Key phrase extraction/ Broad entity extraction: Identify important concepts in text, including key phrases and named entities such as people, places, and organizations.
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing

Topic 2, Design AI solutions

Question 9

You design an AI solution that uses an Azure Stream Analytics job to process data from an Azure IoT hub. The IoT hub receives time series data from thousands of IoT devices at a factory.
The job outputs millions of messages per second. Different applications consume the messages as they are available. The messages must be purged.
You need to choose an output type for the job.
What is the best output type to achieve the goal? More than one answer choice may achieve the goal.

A. Azure Event Hubs

B. Azure SQL Database

C. Azure Blob storage

D. Azure Cosmos DB

 


Suggested Answer: D

Stream Analytics can target Azure Cosmos DB for JSON output, enabling data archiving and low-latency queries on unstructured JSON data.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-documentdb-output

Question 10

You are developing a mobile application that will perform optical character recognition (OCR) from photos.
The application will annotate the photos by using metadata, store the photos in Azure Blob storage, and then score the photos by using an Azure Machine
Learning model.
What should you use to process the data?

A. Azure Event Hubs

B. Azure Functions

C. Azure Stream Analytics

D. Azure Batch

 


Suggested Answer: B

By using Azure services such as the Computer Vision API and Azure Functions, companies can eliminate the need to manage individual servers, while reducing costs and leveraging the expertise that Microsoft has already developed around processing images with Cognitive Services.
Reference:
https://docs.microsoft.com/en-us/azure/architecture/example-scenario/ai/intelligent-apps-image-processing

Question 11

You have a Bing Search service that is used to query a product catalog.
You need to identify the following information:
✑ The locale of the query
✑ The top 50 query strings
✑ The number of calls to the service
✑ The top geographical regions of the service
What should you implement?

A. Bing Statistics

B. Azure API Management (APIM)

C. Azure Monitor

D. Azure Application Insights

 


Suggested Answer: A

The Bing Statistics add-in provides metrics such as call volume, top queries, API response, code distribution, and market distribution. The rich slicing-and-dicing capability lets you gather deeper understanding of your users and their usage to inform your business strategy.
References:
https://www.bingapistatistics.com/

Question 12

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.

 


Suggested Answer: ABC

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

Question 13

HOTSPOT -
You have an app that uses the Language Understanding (LUIS) API as shown in the following exhibit.
 Image
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Hot Area:
 Image

 


Suggested Answer:
Correct Answer Image

Box 1: train –
Utterances are input from the user that your app needs to interpret. To train LUIS to extract intents and entities from them, it’s important to capture a variety of different example utterances for each intent. Active learning, or the process of continuing to train on new utterances, is essential to machine-learned intelligence that LUIS provides.
Box 2: creating intents –
Each intent needs to have example utterances, at least 15. If you have an intent that does not have any example utterances, you will not be able to train LUIS. If you have an intent with one or very few example utterances, LUIS will not accurately predict the intent.
Box 3: never published –
In each iteration of the model, do not add a large quantity of utterances. Add utterances in quantities of 15. Train, publish, and test again.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-utteran3ce

Question 14

You plan to deploy a bot that will use the following Azure Cognitive Services:
✑ Language Understanding (LUIS)
✑ Text Analytics
Your company's compliance policy states that all data used by the bot must be stored in the on-premises network.
You need to recommend a compute solution to support the planned bot.
What should you include in the recommendation?

A. an Azure Databricks cluster

B. a Docker container

C. Microsoft Machine Learning Server

D. the Azure Machine Learning service

 


Suggested Answer: B

You can deploy LUIS on-premise as Docker Image in a container.
Note: Azure Cognitive LUIS service can be deployed on any hardware or on any host (Linus, Windows and IOS). This feature allows enterprises to quickly train the LUIS model on the cloud and deploy it anywhere which makes Cognitive services to be available truly to every person and every Organization –
ג€Democratizing AIג€.
Reference:
https://www.linkedin.com/pulse/deploying-microsoft-azure-cognitive-luis-service-on-premise-s

Question 15

You company's developers have created an Azure Data Factory pipeline that moves data from an on-premises server to Azure Storage. The pipeline consumes
Azure Cognitive Services APIs.
You need to deploy the pipeline. Your solution must minimize custom code.
You use Integration Runtime to move data to the cloud and Azure API Management to consume Cognitive Services APIs.
Does this action accomplish your objective?

A. Yes, it does

B. No, it does not

 


Suggested Answer: B

Azure API Management is a turnkey solution for publishing APIs to external and internal customers.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-integration-runtime
https://docs.microsoft.com/en-us/azure/logic-apps/logic-apps-examples-and-scenarios

Question 16

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.

A. Microsoft Visual Studio Code

B. Azure Notebooks

C. Azure Machine Learning Studio

D. Microsoft Visual Studio

 


Suggested Answer: C

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

Question 17

DRAG DROP -
You are developing an application for photo classification. Users of the application will include minors. The users will upload photos to the application. The photos will be stored for model training purposes. All the photos must be considered appropriate for minors.
You need to recommend an architecture for the application.
Which Azure services should you recommend using in the architecture? To answer, drag the appropriate services to the correct targets. Each service may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Select and Place:
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 18

You create an Azure Cognitive Services resource.
A developer needs to be able to retrieve the keys used by the resource. The solution must use the principle of least privilege.
What is the best role to assign to the developer?

A. Security Manager

B. Security Reader

C. Cognitive Services Contributor

D. Cognitive Services User

 


Suggested Answer: D

The Cognitive Services User lets you read and list keys of Cognitive Services.
Reference:
https://docs.microsoft.com/en-us/azure/role-based-access-control/built-in-roles

Question 19

You are designing an Azure Batch AI solution that will perform image recognition. The solution will be used to train several Azure Machine Learning models.
You need to enable versioning for Azure Machine Learning models.
What should you do?

A. Register the Azure Machine Learning models.

B. Use Azure HDInsight cluster.

C. Use Machine Learning experiments.

D. Use Machine Learning pipelines.

 


Suggested Answer: A

Model registration allows you to store and version your models in the Azure cloud, in your workspace. The model registry makes it easy to organize and keep track of your trained models.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/version-control
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-and-where

Question 20

HOTSPOT -
You plan to build an app that will provide users with the ability to dictate messages and convert the messages into text.
You need to recommend a solution to meet the following requirements for the app:
✑ Must be able to transcribe streaming dictated messages that are longer than 15 seconds.
✑ Must be able to upload existing recordings to Azure Blob storage to be transcribed later.
Which solution should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
 Image

 


Suggested Answer:
Correct Answer Image

Box 1: The Speech SDK –
The Speech SDK is not limited to 15 seconds.
Box 2: Batch Transcription API –
Batch transcription is a set of REST API operations that enables you to transcribe a large amount of audio in storage. You can point to audio files with a shared access signature (SAS) URI and asynchronously receive transcription results. With the new v3.0 API, you have the choice of transcribing one or more audio files, or process a whole storage container.
Asynchronous speech-to-text transcription is just one of the features.
Reference:
https://github.com/Azure-Samples/cognitive-services-speech-sdk/issues/13
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/batch-transcription

Question 21

HOTSPOT -
You are designing a Custom Vision Service solution to identify perishable products 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:
 Image

 


Suggested Answer:
Correct Answer Image

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:
✑ Tensorflow for Android.
✑ CoreML for iOS11.
✑ ONNX for Windows ML.
✑ Vision AI Developer Kit.
✑ 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 22

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 an Azure Data Factory pipeline that contains the Machine Learning Batch Execution activity.
Does this meet the goal?

A. Yes

B. No

 


Suggested Answer: A

Using the Batch Execution Activity in an Azure Data Factory pipeline, you can invoke an Azure Machine Learning Studio (classic) web service to make predictions on the data in batch
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/transform-data-using-machine-learning

Question 23

You are developing an AI application for your company. The application will use Microsoft Azure Stream Analytics.
You save the outputs from the Stream Analytics workflows to the cloud.
Which of the following actions should you take?

A. Make use of a Hive table in Azure HDInsight

B. Make use of Azure Cosmos DB

C. Make use of Azure File storage

D. Make use of Azure Table storage

 


Suggested Answer: C

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

Question 24

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

 


Suggested Answer: C

References:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/data-storage

Question 25

Which RBAC role should you assign to the KeyManagers group?

A. Cognitive Services Contributor

B. Security Manager

C. Cognitive Services User

D. Security Administrator

 


Suggested Answer: A

Reference:
https://docs.microsoft.com/en-us/azure/role-based-access-control/built-in-roles

Question 26

You have an Azure Machine Learning experiment.
You need to validate that the experiment meets GDPR regulation requirements and stores documentation about the experiment.
What should you use?

A. Compliance Manager

B. an Azure Log Analytics workspace

C. Azure Table storage

D. Azure Security Center

 


Suggested Answer: A

Compliance Manager for Azure helps you assess and manage GDPR compliance. Compliance Manager is a free, Microsoft cloud services solution designed to help organizations meet complex compliance obligations, including the GDPR, ISO 27001, ISO 27018, and NIST 800-53. Generally available today for Azure customers, the Compliance Manager GDPR dashboard enables you to assign, track, and record your GDPR compliance activities so you can collaborate across teams and manage your documents for creating audit reports more easily.
References:
https://azure.microsoft.com/en-us/blog/new-capabilities-to-enable-robust-gdpr-compliance/

Question 27

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 developing an application that uses an Azure Kubernetes Service (AKS) cluster.
You are troubleshooting a node issue.
You need to connect to an AKS node by using SSH.
Solution: You add an SSH key to the node, and then you create an SSH connection.
Does this meet the goal?

A. Yes

B. No

 


Suggested Answer: A

By default, SSH keys are generated when you create an AKS cluster. If you did not specify your own SSH keys when you created your AKS cluster, add your public SSH keys to the AKS nodes.
You also need to create an SSH connection to the AKS node.
References:
https://docs.microsoft.com/en-us/azure/aks/ssh

Question 28

You need to build an API pipeline that analyzes streaming data. The pipeline will perform the following:
✑ Visual text recognition
✑ Audio transcription
✑ Sentiment analysis
✑ Face detection
Which Azure Cognitive Services should you use in the pipeline?

A. Custom Speech Service

B. Face API

C. Text Analytics

D. Video Indexer

 


Suggested Answer: D

Azure Video Indexer is a cloud application built on Azure Media Analytics, Azure Search, Cognitive Services (such as the Face API, Microsoft Translator, the
Computer Vision API, and Custom Speech Service). It enables you to extract the insights from your videos using Video Indexer video and audio models described below:
✑ Visual text recognition (OCR): Extracts text that is visually displayed in the video.
✑ Audio transcription: Converts speech to text in 12 languages and allows extensions.
✑ Sentiment analysis: Identifies positive, negative, and neutral sentiments from speech and visual text.
✑ Face detection: Detects and groups faces appearing in the video.
References:
https://docs.microsoft.com/en-us/azure/media-services/video-indexer/video-indexer-overview

Question 29

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

 


Suggested Answer: AB

 

Question 30

Your company is building custom models that integrate into microservices architecture on Azure Kubernetes Services (AKS).
The model is built by using Python and published to AKS.
You need to update the model and enable Azure Application Insights for the model.
What should you use?

A. the Azure CLI

B. MLNET Model Builder

C. the Azure Machine Learning SDK

D. the Azure portal

 


Suggested Answer: C

You can set up Azure Application Insights for Azure Machine Learning. Application Insights gives you the opportunity to monitor:
✑ Request rates, response times, and failure rates.
✑ Dependency rates, response times, and failure rates.
✑ Exceptions.
Requirements include an Azure Machine Learning workspace, a local directory that contains your scripts, and the Azure Machine Learning SDK for Python installed.
References:
https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/service/how-to-enable-app-insights

Question 31

You have deployed several Azure IoT Edge devices for an AI solution. The Azure IoT Edge devices generate measurement data from temperature sensors.
You need a solution to process the sensor data. Your solution must be able to write configuration changes back to the devices.
You make use of Microsoft Azure IoT Hub.
Does this action accomplish your objective?

A. Yes, it does

B. No, it does not

 


Suggested Answer: A

Reference:
https://azure.microsoft.com/en-us/resources/samples/functions-js-iot-hub-processing/

Question 32

You are developing an AI application for your company. The application that uses batch processing to analyze data in JSON and PDF documents.
You want to store the JSON and PDF documents in Azure. You want to ensure data persistence while keeping costs at a minimum.
Which of the following actions should you take?

A. Make use of Azure Blob storage

B. Make use of Azure Cosmos DB

C. Make use of Azure Databricks

D. Make use of Azure Table storage

 


Suggested Answer: A

The following technologies are recommended choices for batch processing solutions in Azure.
Azure Storage Blob Containers. Many existing Azure business processes already use Azure blob storage, making this a good choice for a big data store.
Azure Data Lake Store. Azure Data Lake Store offers virtually unlimited storage for any size of file, and extensive security options, making it a good choice for extremely large-scale big data solutions that require a centralized store for data in heterogeneous formats.
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/batch-processing
https://docs.microsoft.com/bs-latn-ba/azure/storage/blobs/storage-blobs-introduction

Question 33

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:
✑ Identifies hazards
✑ Provides a real-time online dashboard
✑ Takes images of an area every minute
✑ 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

 


Suggested 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 34

Your plan to design a bot that will be hosted by using Azure Bot Service.
Your company identifies the following compliance requirements for the bot:
✑ Payment Card Industry Data Security Standards (PCI DSS)
✑ General Data Protection Regulation (GDPR)
✑ ISO 27001
You need to identify which compliance requirements are met by hosting the bot in the bot service.
What should you identify?

A. PCI DSS only

B. PCI DSS, ISO 27001, and GDPR

C. ISO 27001 only

D. GDPR only

 


Suggested Answer: B

Azure Bot service is compliant with ISO 27001:2013, ISO 27019:2014, SOC 1 and 2, Payment Card Industry Data Security Standard (PCI DSS), and Health
Insurance Portability and Accountability Act Business Associate Agreement (HIPAA BAA).
Microsoft products and services, including Azure Bot Service, are available today to help you meet the GDPR requirements.
References:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-compliance
https://blog.botframework.com/2018/04/23/general-data-protection-regulation-gdpr/

Question 35

Your company has recently purchased and deployed 25,000 IoT devices.
You need to recommend a data analysis solution for the devices that meets the following requirements:
✑ Each device must use its own credentials for identity.
✑ Each device must be able to route data to multiple endpoints.
✑ The solution must require the minimum amount of customized code.
What should you include in the recommendation?

A. Microsoft Azure Notification Hubs

B. Microsoft Azure Event Hubs

C. Microsoft Azure IoT Hub

D. Microsoft Azure Service Bus

 


Suggested Answer: C

An IoT hub has a default built-in endpoint. You can create custom endpoints to route messages to by linking other services in your subscription to the hub.
Individual devices connect using credentials stored in the IoT hub’s identity registry.
References:
https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-devguide-security

Question 36

HOTSPOT -
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:
 Image

 


Suggested Answer:
Correct Answer Image

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:
https://docs.microsoft.com/en-us/azure/iot-edge/about-iot-edge

Question 37

You have an app that records meetings by using speech-to-text capabilities from the Speech Services API.
You discover that when action items are listed at the end of each meeting, the app transcribes the text inaccurately when industry terms are used.
You need to improve the accuracy of the meeting records.
What should you do?

A. Add a phrase list

B. Create a custom wake word

C. Parse the text by using the Language Understanding (LUIS) API

D. Train a custom model by using Custom Translator

 


Suggested Answer: A

Phrase Lists are used to identify known phrases in audio data, like a person’s name or a specific location. By providing a list of phrases, you improve the accuracy of speech recognition.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/get-started-speech-to-text?tabs=script%2Cbrowser%

2Cwindowsinstall&pivots=programming-language-csharp

Question 38

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 developing an application that uses an Azure Kubernetes Service (AKS) cluster.
You are troubleshooting a node issue.
You need to connect to an AKS node by using SSH.
Solution: You run the kubect1 command, and then you create an SSH connection.
Does this meet the goal?

A. Yes

B. No

 


Suggested Answer: B

 

Question 39

HOTSPOT -
You are designing an Azure infrastructure to support an Azure Machine Learning solution that will have multiple phases. The solution must meet the following requirements:
✑ Securely query an on-premises database once a week to update product lists.
✑ Access the data without using a gateway.
✑ Orchestrate the separate phases.
What should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
 Image

 


Suggested Answer: Incorrect Answer: The VPN connection solution both use gateways.

Box 1: Azure App Service Hybrid Connections
With Hybrid Connections, Azure websites and mobile services can access on-premises resources as if they were located on the same private network. Application admins thus have the flexibility to simply lift-and-shift specific most front-end tiers to Azure with minimal configuration changes, extending their enterprise apps for hybrid scenarios.
Box 2: Machine Learning pipelines
Typically when running machine learning algorithms, it involves a sequence of tasks including pre-processing, feature extraction, model fitting, and validation stages. For example, when classifying text documents might involve text segmentation and cleaning, extracting features, and training a classification model with cross-validation. Though there are many libraries we can use for each stage, connecting the dots is not as easy as it may look, especially with large-scale datasets. Most ML libraries are not designed for distributed computation or they do not provide native support for pipeline creation and tuning.
Box 3: Azure Databricks –
References:
https://azure.microsoft.com/is-is/blog/hybrid-connections-preview/
https://databricks.com/glossary/what-are-ml-pipelines

Question 40

You plan to deploy Azure IoT Edge devices that will each store more than 10,000 images locally and classify the images by using a Custom Vision Service classifier.
Each image is approximately 5 MB.
You need to ensure that the images persist on the devices for 14 days.
What should you use?

A. The device cache

B. Azure Blob storage on the IoT Edge devices

C. Azure Stream Analytics on the IoT Esge devices

D. Microsoft SQL Server on the IoT Edge devices

 


Suggested Answer: B

References:
https://docs.microsoft.com/en-us/azure/iot-edge/how-to-store-data-blob

Question 41

DRAG DROP -
You have a container image that contains an AI solution. The solution will be used on demand and will only be needed a few hours each month.
You plan to use Azure Functions to deploy the environment on-demand.
You need to recommend the deployment process. The solution must minimize costs.
Which four actions should you recommend Azure Functions 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:
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 42

Your company uses an internal blog to share news with employees.
You use the Translator Text API to translate the text in the blog from English to several other languages used by the employees.
Several employees report that the translations are often inaccurate.
You need to improve the accuracy of the translations.
What should you add to the translation solution?

A. Text Analytics

B. Language Understanding (LUIS)

C. Azure Media Services

D. Custom Translator

 


Suggested Answer: D

Custom Translator is a feature of the Microsoft Translator service. With Custom Translator, enterprises, app developers, and language service providers can build neural translation systems that understand the terminology used in their own business and industry. The customized translation system will then seamlessly integrate into existing applications, workflows and websites.
Custom Translator allows users to customize Microsoft Translator’s advanced neural machine translation for Translator’s supported neural translation languages.
Custom Translator can be used for customizing text when using the Microsoft Translator Text API , and speech translation using the Microsoft Speech services.
References:
https://www.microsoft.com/en-us/translator/business/customization/

Question 43

Your company creates a popular mobile game.
The company tracks usage patterns of the game.
You need to provide special offers to users when there is a significant change in the usage patterns.
Which Azure Cognitive Services service should you use?

A. Form Recognizer

B. Bing Autosuggest

C. Text Analytics

D. Anomaly Detector

 


Suggested Answer: D

Reference:
https://azure.microsoft.com/en-gb/services/cognitive-services/anomaly-detector/#features

Question 44

You are designing a Computer Vision AI application.
You need to recommend a deployment solution for the application. The solution must ensure that costs scale linearly without any upfront costs.
What should you recommend?

A. a containerized Computer Vision API on Azure Kubernetes Service (AKS) that has autoscaling configured

B. the Computer Vision API as a single resource

C. an Azure Container Service

D. a containerized Computer Vision API on Azure Kubernetes Service (AKS) that has virtual nodes configured

 


Suggested Answer: A

Containers enable you to run the Computer Vision APIs in your own environment.
Note: The host is a x64-based computer that runs the Docker container. It can be a computer on your premises or a Docker hosting service in Azure, such as:
✑ Azure Container Instances.
✑ Azure Kubernetes Service.
✑ A Kubernetes cluster deployed to Azure Stack.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/computer-vision-how-to-install-containers

Question 45

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 developing an application that uses an Azure Kubernetes Service (AKS) cluster.
You are troubleshooting a node issue.
You need to connect to an AKS node by using SSH.
Solution: You change the permissions of the AKS resource group, and then you create an SSH connection.
Does this meet the goal?

A. Yes

B. No

 


Suggested Answer: B

Instead add an SSH key to the node, and then you create an SSH connection.
References:
https://docs.microsoft.com/en-us/azure/aks/ssh

Question 46

You are developing a Microsoft Bot Framework application. The application consumes structured NoSQL data that must be stored in the cloud.
You implement Azure Blob storage for the application. You want access to the blob store to be controlled by using a role.
You implement Shared Access Signatures (SAS) on the storage account.
Does this action accomplish your objective?

A. Yes, it does

B. No, it does not

 


Suggested Answer: B

Shared access signatures (SAS) provide limited delegated access to resources in a storage account. Adding constraints on the time interval for which the signature is valid or on permissions it grants provides flexibility in managing access.
Use Azure Active Directory (Azure AD) instead.
Reference:
https://docs.microsoft.com/en-us/azure/storage/common/storage-auth

Question 47

DRAG DROP -
You need to build an AI solution that will be shared between several developers and customers.
You plan to write code, host code, and document the runtime all within a single user experience.
You build the environment to host the solution.
Which three actions should you perform in sequence next? 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:
 Image

 


Suggested Answer:
Correct Answer Image

Step 1: Create an Azure Machine Learning Studio workspace
Step 2: Create a notebook –
You can manage notebooks using the UI, the CLI, and by invoking the Workspace API.
To create a notebook –
1. Click the Workspace button Workspace Icon or the Home button Home Icon in the sidebar. Do one of the following:
Next to any folder, click the Menu Dropdown on the right side of the text and select Create > Notebook. Create Notebook
In the Workspace or a user folder, click Down Caret and select Create > Notebook.
2. In the Create Notebook dialog, enter a name and select the notebook’s primary language.
3. If there are running clusters, the Cluster drop-down displays. Select the cluster to attach the notebook to.
4. Click Create.
Step 3: Create a new experiment –
Create a new experiment by clicking +NEW at the bottom of the Machine Learning Studio window. Select EXPERIMENT > Blank Experiment.
References:
https://docs.azuredatabricks.net/user-guide/notebooks/notebook-manage.html
https://docs.microsoft.com/en-us/azure/machine-learning/service/quickstart-run-cloud-notebook

Question 48

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

 


Suggested Answer: A

Reference:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipelines-activities
https://docs.microsoft.com/en-us/azure/data-factory/transform-data-machine-learning-service

Question 49

You plan to build an application that will perform predictive analytics. Users will be able to consume the application data by using Microsoft Power BI or a custom website.
You need to ensure that you can audit application usage.
Which auditing solution should you use?

A. Azure Storage Analytics

B. Azure Application Insights

C. Azure diagnostics logs

D. Azure Active Directory (Azure AD) reporting

 


Suggested Answer: D

References:
https://docs.microsoft.com/en-us/azure/active-directory/reports-monitoring/concept-audit-logs

Question 50

You are using Azure Cognitive Services to create an interactive AI application that will be deployed for a world-wide audience.
You want the app to support multiple languages, including English, French, Spanish, Portuguese, and German.
Which of the following actions should you take?

A. Make use of Text Analytics.

B. Make use of Content Moderator.

C. Make use of QnA Maker.

D. Make use of Language API.

 


Suggested Answer: A

The Language Detection feature of the Azure Text Analytics REST API evaluates text input for each document and returns language identifiers with a score that indicates the strength of the analysis.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-language-detection

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