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Home Free IT Exam Dumps

AI-102 Dump Free

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  • AI-102 Dump Free – 50 Practice Questions to Sharpen Your Exam Readiness.
  • Access Full AI-102 Dump Free

AI-102 Dump Free – 50 Practice Questions to Sharpen Your Exam Readiness.

Looking for a reliable way to prepare for your AI-102 certification? Our AI-102 Dump Free includes 50 exam-style practice questions designed to reflect real test scenarios—helping you study smarter and pass with confidence.

Using an AI-102 dump free set of questions can give you an edge in your exam prep by helping you:

  • Understand the format and types of questions you’ll face
  • Pinpoint weak areas and focus your study efforts
  • Boost your confidence with realistic question practice

Below, you will find 50 free questions from our AI-102 Dump Free collection. These cover key topics and are structured to simulate the difficulty level of the real exam, making them a valuable tool for review or final prep.

Question 1

SIMULATION -
Use the following login credentials as needed:
To enter your username, place your cursor in the Sign in box and click on the username below.
To enter your password, place your cursor in the Enter password box and click on the password below.
Azure Username:
admin@abc.com
-
Azure Password: XXXXXXXXXXXX -
The following information is for technical support purposes only:
Lab Instance: 12345678 -
Task -
You need to get insights from a video file located in the C:ResourcesVideoMedia.mp4 folder.
Save the insights to the C:ResourcesVideoInsights.json folder.
To complete this task, sign in to the Azure Video Analyzer for Media at https://www.videoindexer.ai/ by using
admin@abc.com

 


Suggested Answer: See explanation below.

Step 1: Login –
Browse to the Azure Video Indexer website and sign in.
URL: https://www.videoindexer.ai/
Login
admin@abc.com
–
Step 2: Create a project from your video
You can create a new project directly from a video in your account.
1. Go to the Library tab of the Azure Video Indexer website.
2. Open the video that you want to use to create your project. On the insights and timeline page, select the Video editor button.
Folder: C:ResourcesVideoMedia.mp4
This takes you to the same page that you used to create a new project. Unlike the new project, you see the timestamped insights segments of the video, that you had started editing previously.
Step 3: Save the insights to the C:ResourcesVideoInsights.json folder.
Reference:https://www.videoindexer.ai/

Login
admin@abc.com
–
Step 2: Create a project from your video
You can create a new project directly from a video in your account.
1. Go to the Library tab of the Azure Video Indexer website.
2. Open the video that you want to use to create your project. On the insights and timeline page, select the Video editor button.
Folder: C:ResourcesVideoMedia.mp4
This takes you to the same page that you used to create a new project. Unlike the new project, you see the timestamped insights segments of the video, that you had started editing previously.
Step 3: Save the insights to the C:ResourcesVideoInsights.json folder.
Reference:
https://docs.microsoft.com/en-us/azure/azure-video-indexer/use-editor-create-project

Question 2

HOTSPOT
-
You have an Azure OpenAI resource named AI1 that hosts three deployments of the GPT 3.5 model. Each deployment is optimized for a unique workload.
You plan to deploy three apps. Each app will access AI1 by using the REST API and will use the deployment that was optimized for the app's intended workload.
You need to provide each app with access to AI1 and the appropriate deployment. The solution must ensure that only the apps can access AI1.
What should you use to provide access to AI1, and what should each app use to connect to its appropriate deployment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 3

You need to develop an extract solution for the receipt images. The solution must meet the document processing requirements and the technical requirements.
You upload the receipt images to the Form Recognizer API for analysis, and the API returns the following JSON.
 Image
Which expression should you use to trigger a manual review of the extracted information by a member of the Consultant-Bookkeeper group?

A. documentResults.docType == “prebuilt:receipt”

B. documentResults.fields.*.confidence 0.7

D. documentResults.fields.MerchantName.confidence < 0.7

 


Suggested Answer: D

Need to specify the field name, and then use < 0.7 to handle trigger if confidence score is less than 70%.
Scenario:
✑ AI solution responses must have a confidence score that is equal to or greater than 70 percent.
✑ When the response confidence score of an AI response is lower than 70 percent the response must be improved by human input.
Reference:
https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/api-v2-0/reference-sdk-api-v2-0

Question 4

DRAG DROP -
You are building a Language Understanding model for purchasing tickets.
You have the following utterance for an intent named PurchaseAndSendTickets.
Purchase [2 audit business] tickets to [Paris] [next Monday] and send tickets to [
email@domain.com
]
You need to select the entity types. The solution must use built-in entity types to minimize training data whenever possible.
Which entity type should you use for each label? To answer, drag the appropriate entity types to the correct labels. Each entity type 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.
Select and Place:
 Image

 


Suggested Answer:
Correct Answer Image

Box 1: GeographyV2 –
The prebuilt geographyV2 entity detects places. Because this entity is already trained, you do not need to add example utterances containing GeographyV2 to the application intents.
Box 2: Email –
Email prebuilt entity for a LUIS app: Email extraction includes the entire email address from an utterance. Because this entity is already trained, you do not need to add example utterances containing email to the application intents.
Box 3: Machine learned –
The machine-learning entity is the preferred entity for building LUIS applications.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-geographyv2
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-email
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/reference-entity-machine-learned-entity

Question 5

You have an app named App1 that uses a custom Azure AI Document Intelligence model to recognize contract documents.
You need to ensure that the model supports an additional contract format. The solution must minimize development effort.
What should you do?

A. Lower the confidence score threshold of App1.

B. Create a new training set and add the additional contract format to the new training set. Create and train a new custom model.

C. Add the additional contract format to the existing training set. Retrain the model.

D. Lower the accuracy threshold of App1.

 


Suggested Answer: C

 

Question 6

You plan create an index for an Azure Cognitive Search service by using the Azure portal. The Cognitive Search service will connect to an Azure SQL database.
The Azure SQL database contains a table named UserMessages. Each row in UserMessages has a field named MessageCopy that contains the text of social media messages sent by a user.
Users will perform full text searches against the MessageCopy field, and the values of the field will be shown to the users.
You need to configure the properties of the index for the MessageCopy field to support the solution.
Which attributes should you enable for the field?

A. Sortable and Retrievable

B. Filterable and Retrievable

C. Searchable and Facetable

D. Searchable and Retrievable

 


Suggested Answer: D

 

Question 7

You are building a chatbot.
You need to configure the bot to guide users through a product setup process.
Which type of dialog should you use?

A. component

B. action

C. waterfall

D. adaptive

 


Suggested Answer: C

 

Question 8

You have the following data sources:
•	Finance: On-premises Microsoft SQL Server database
•	Sales: Azure Cosmos DB using the Core (SQL) API
•	Logs: Azure Table storage
•	HR: Azure SQL database
You need to ensure that you can search all the data by using the Azure AI Search REST API.
What should you do?

A. Migrate the data in HR to Azure Blob storage.

B. Migrate the data in HR to the on-premises SQL server.

C. Export the data in Finance to Azure Data Lake Storage.

D. Migrate the data in Sales to the MongoDB API.

 


Suggested Answer: C

 

Question 9

HOTSPOT
-
You plan to deploy an Azure OpenAI resource by using an Azure Resource Manager (ARM) template.
You need to ensure that the resource can respond to 600 requests per minute.
How should you complete the template? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 10

You have the following data sources:
✑ Finance: On-premises Microsoft SQL Server database
✑ Sales: Azure Cosmos DB using the Core (SQL) API
✑ Logs: Azure Table storage
✑ HR: Azure SQL database
You need to ensure that you can search all the data by using the Azure Cognitive Search REST API.
What should you do?

A. Migrate the data in HR to Azure Blob storage.

B. Migrate the data in HR to the on-premises SQL server.

C. Export the data in Finance to Azure Data Lake Storage.

D. Ingest the data in Logs into Azure Sentinel.

 


Suggested Answer: C

In Azure Cognitive Search, a data source is used with indexers, providing the connection information for ad hoc or scheduled data refresh of a target index, pulling data from supported Azure data sources.
Note: Supported data sources –
Indexers crawl data stores on Azure and outside of Azure.
Amazon Redshift (in preview)
Azure Blob Storage –
Azure Cosmos DB –
Azure Data Lake Storage Gen2 –
Azure MySQL (in preview)
Azure SQL Database –
Azure Table Storage –
Elasticsearch (in preview)
PostgreSQL (in preview)
Salesforce Objects (in preview)
Salesforce Reports (in preview)
Smartsheet (in preview)
Snowflake (in preview)
Azure SQL Managed Instance –
SQL Server on Azure Virtual Machines
Azure Files (in preview)
Reference:
https://docs.microsoft.com/en-us/azure/search/search-indexer-overview#supported-data-sources

Question 11

You have the following Python function for creating Azure Cognitive Services resources programmatically. def create_resource (resource_name, kind, account_tier, location) : parameters = CognitiveServicesAccount(sku=Sku(name=account_tier), kind=kind, location=location, properties={}) result = client.accounts.create(resource_group_name, resource_name, parameters)
You need to call the function to create a free Azure resource in the West US Azure region. The resource will be used to generate captions of images automatically.
Which code should you use?

A. create_resource(“res1”, “ComputerVision”, “F0”, “westus”)

B. create_resource(“res1”, “CustomVision.Prediction”, “F0”, “westus”)

C. create_resource(“res1”, “ComputerVision”, “S0”, “westus”)

D. create_resource(“res1”, “CustomVision.Prediction”, “S0”, “westus”)

 


Suggested Answer: B

F0 is the free tier.
Custom Vision Service –
Upload images to train and customize a computer vision model for your specific use case. Once the model is trained, you can use the API to tag images using the model and evaluate the results to improve your classifier.
Incorrect:
Not C, not D: S0 is the standard tier, which isn’t free.
Not A, not C: The Computer Vision service provides developers with access to advanced algorithms for processing images and returning information.
Computer Vision –
Returns information about visual content found in an image:
Use tagging, descriptions, and domain-specific models to identify content and label it with confidence.
Apply adult/racy settings to enable automated restriction of adult content.
Identify image types and color schemes in pictures.
Reference:
https://docs.microsoft.com/en-us/python/api/overview/azure/cognitive-services?view=azure-python

Question 12

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 build a language model by using a Language Understanding service. The language model is used to search for information on a contact list by using an intent named FindContact.
A conversational expert provides you with the following list of phrases to use for training.
✑ Find contacts in London.
✑ Who do I know in Seattle?
✑ Search for contacts in Ukraine.
You need to implement the phrase list in Language Understanding.
Solution: You create a new pattern in the FindContact intent.
Does this meet the goal?

A. Yes

B. No

 


Suggested Answer: B

Instead use a new intent for location.
Note: An intent represents a task or action the user wants to perform. It is a purpose or goal expressed in a user’s utterance.
Define a set of intents that corresponds to actions users want to take in your application.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-intent

Question 13

HOTSPOT -
You are building an app that will enable users to upload images. The solution must meet the following requirements:
* Automatically suggest alt text for the images.
* Detect inappropriate images and block them.
* Minimize development effort.
You need to recommend a computer vision endpoint for each requirement.
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: https://westus.api.cognitive.microsoft.com/customvision/v3.1/prediction/projectid/classify/iterations/publishName/image
Box 2: https://westus.api.cognitive.microsoft.com/vision/v3.2/analyze/?visualFeatures=Adult,Description
Computer Vision can detect adult material in images so that developers can restrict the display of these images in their software. Content flags are applied with a score between zero and one so developers can interpret the results according to their own preferences.
You can detect adult content with the Analyze Image API. When you add the value of Adult to the visualFeatures query parameter
Incorrect:
Use the Image Moderation API in Azure Content Moderator to scan image content. The moderation job scans your content for profanity, and compares it against custom and shared blocklists.
Reference:https://westus.api.cognitive.microsoft.com/customvision/v3.1/prediction/projectid/classify/iterations/publishName/image

Box 2: https://westus.api.cognitive.microsoft.com/vision/v3.2/analyze/?visualFeatures=Adult,Description

Computer Vision can detect adult material in images so that developers can restrict the display of these images in their software. Content flags are applied with a score between zero and one so developers can interpret the results according to their own preferences.
You can detect adult content with the Analyze Image API. When you add the value of Adult to the visualFeatures query parameter
Incorrect:
Use the Image Moderation API in Azure Content Moderator to scan image content. The moderation job scans your content for profanity, and compares it against custom and shared blocklists.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-detecting-adult-content
https://docs.microsoft.com/en-us/azure/cognitive-services/content-moderator/try-image-api
https://docs.microsoft.com/en-us/legal/cognitive-services/custom-vision/custom-vision-cvs-transparency-note

Question 14

You are building an Azure AI Language Understanding solution.
You discover that many intents have similar utterances containing airport names or airport codes.
You need to minimize the number of utterances used to train the model.
Which type of custom entity should you use?

A. Pattern.any

B. machine-learning

C. regular expression

D. list

 


Suggested Answer: D

 

Question 15

You plan to build an app that will generate a list of tags for uploaded images. The app must meet the following requirements:
•	Generate tags in a user's preferred language.
•	Support English, French, and Spanish.
•	Minimize development effort.
You need to build a function that will generate the tags for the app.
Which Azure service endpoint should you use?

A. Content Moderator Image Moderation

B. Custom Vision image classification

C. Computer Vision Image Analysis

D. Custom Translator

 


Suggested Answer: B

 

Question 16

HOTSPOT -
You are building a bot and that will use Language Understanding.
You have a LUDown file that contains the following content.
 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

Reference:
https://github.com/solliancenet/tech-immersion-data-ai/blob/master/ai-exp1/README.md

Question 17

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 are building a chatbot that will use question answering in Azure Cognitive Service for Language.
You have a PDF named Doc1.pdf that contains a product catalogue and a price list.
You upload Doc1.pdf and train the model.
During testing, users report that the chatbot responds correctly to the following question: What is the price of

A. Yes

B. No

 


Suggested Answer: B

 

Question 18

You have the following Python method.
 Image
You need to deploy an Azure resource to the East US Azure region. The resource will be used to perform sentiment analysis.
How should you call the method?

A. create_resource(“res1”, “TextAnalytics”, “Standard”, “East US”)

B. create_resource(“res1”, “ContentModerator”, “S0”, “eastus”)

C. create_resource(“res1”, “ContentModerator”, “Standard”, “East US”)

D. create_resource(“res1”, “TextAnalytics”, “S0”, “eastus”)

 


Suggested Answer: D

 

Question 19

You have an Azure subscription. The subscription contains an Azure OpenAI resource that hosts a GPT-4 model named Model1 and an app named App1. App1 uses Model1.
You need to ensure that App1 will NOT return answers that include hate speech.
What should you configure for Model1?

A. the Frequency penalty parameter

B. abuse monitoring

C. a content filter

D. the Temperature parameter

 


Suggested Answer: C

 

Question 20

HOTSPOT
-
You have a library that contains thousands of images.
You need to tag the images as photographs, drawings, or clipart.
Which service endpoint and response property should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 21

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 have an Azure Cognitive Search service.
During the past 12 months, query volume steadily increased.
You discover that some search query requests to the Cognitive Search service are being throttled.
You need to reduce the likelihood that search query requests are throttled.
Solution: You add replicas.
Does this meet the goal?

A. Yes

B. No

 


Suggested Answer: A

A simple fix to most throttling issues is to throw more resources at the search service (typically replicas for query-based throttling, or partitions for indexing-based throttling). However, increasing replicas or partitions adds cost, which is why it is important to know the reason why throttling is occurring at all.
Reference:
https://docs.microsoft.com/en-us/azure/search/search-performance-analysis

Question 22

You are developing the knowledgebase by using Azure Cognitive Search.
You need to process wiki content to meet the technical requirements.
What should you include in the solution?

A. an indexer for Azure Blob storage attached to a skillset that contains the language detection skill and the text translation skill

B. an indexer for Azure Blob storage attached to a skillset that contains the language detection skill

C. an indexer for Azure Cosmos DB attached to a skillset that contains the document extraction skill and the text translation skill

D. an indexer for Azure Cosmos DB attached to a skillset that contains the language detection skill and the text translation skill

 


Suggested Answer: C

The wiki contains text in English, French and Portuguese.
Scenario: All planned projects must support English, French, and Portuguese.
The Document Extraction skill extracts content from a file within the enrichment pipeline. This allows you to take advantage of the document extraction step that normally happens before the skillset execution with files that may be generated by other skills.
Note: The Translator Text API will be used to determine the from language. The Language detection skill is not required.
Incorrect Answers:
Not A, not B: The wiki is stored in Azure Cosmos DB.
Reference:
https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-document-extraction
https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-text-translation

Question 23

HOTSPOT -
You have an Azure subscription that contains an Azure AI Document Intelligence resource named DI1.
You create a PDF document named Test.pdf that contains tabular data.
You need to analyze Test.pdf by using DI1.
How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 24

HOTSPOT
-
You are building a model to detect objects in images.
The performance of the model based on training data is 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.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 25

You plan to provision a QnA Maker service in a new resource group named RG1.
In RG1, you create an App Service plan named AP1.
Which two Azure resources are automatically created in RG1 when you provision the QnA Maker service? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Language Understanding

B. Azure SQL Database

C. Azure Storage

D. Azure Cognitive Search

E. Azure App Service

 


Suggested Answer: DE

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/set-up-qnamaker-service-azure?tabs=v1#delete-azure-resources

Question 26

You have a Microsoft OneDrive folder that contains a 20-GB video file named File1.avi.
You need to index File1.avi by using the Azure Video Indexer website.
What should you do?

A. Upload File1.avi to the www.youtube.com webpage, and then copy the URL of the video to the Azure AI Video Indexer website.

B. Download File1.avi to a local computer, and then upload the file to the Azure AI Video Indexer website.

C. From OneDrive, create a download link, and then copy the link to the Azure AI Video Indexer website.

D. From OneDrive, create a sharing link for File1.avi, and then copy the link to the Azure AI Video Indexer website.

 


Suggested Answer: C

 

Question 27

HOTSPOT -
You are designing a conversation flow to be used in a chatbot.
You need to test the conversation flow by using the Microsoft Bot Framework Emulator.
How should you complete the .chat file? 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

Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-howto-add-media-attachments?view=azure-bot-service-4.0&tabs=csharp

Question 28

You are building a social media extension that will convert text to speech. The solution must meet the following requirements:
•	Support messages of up to 400 characters.
•	Provide users with multiple voice options.
•	Minimize costs.
You create an Azure Cognitive Services resource.
Which Speech API endpoint provides users with the available voice options?

A. https://uksouth.api.cognitive.microsoft.com/speechtotext/v3.0/models/base

B. https://uksouth.customvoice.api.speech.microsoft.com/api/texttospeech/v3.0/longaudiosynthesis/voices

C. https://uksouth.tts.speech.microsoft.com/cognitiveservices/voices/list

D. https://uksouth.voice.speech.microsoft.com/cognitiveservices/v1?deploymentId={deploymentId}

 


Suggested Answer: D

 

Question 29

HOTSPOT
-
You are building a text-to-speech app that will use a custom neural voice.
You need to create an SSML file for the app. The solution must ensure that the voice profile meets the following requirements:
•	Expresses a calm tone
•	Imitates the voice of a young adult female
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 30

DRAG DROP -
You plan to use containerized versions of the Anomaly Detector API on local devices for testing and in on-premises datacenters.
You need to ensure that the containerized deployments meet the following requirements:
✑ Prevent billing and API information from being stored in the command-line histories of the devices that run the container.
✑ Control access to the container images by using Azure role-based access control (Azure RBAC).
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.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
Select and Place:
 Image

 


Suggested Answer:
Correct Answer Image

Step 1: Pull the Anomaly Detector container image.
Step 2: Create a custom Dockerfile
Step 3: Push the image to an Azure container registry.
To push an image to an Azure Container registry, you must first have an image.
Step 4: Distribute the docker run script
Use the docker run command to run the containers.
Reference:
https://docs.microsoft.com/en-us/azure/container-registry/container-registry-intro

Question 31

HOTSPOT
-
You are building a chatbot.
You need to use the Content Moderator service to identify messages that contain sexually explicit language.
Which section in the response from the service will contain the category score, and which category will be assigned to the message? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 32

You have an Azure Cognitive Search solution and a collection of handwritten letters stored as JPEG files.
You plan to index the collection. The solution must ensure that queries can be performed on the contents of the letters.
You need to create an indexer that has a skillset.
Which skill should you include?

A. image analysis

B. optical character recognition (OCR)

C. key phrase extraction

D. document extraction

 


Suggested Answer: B

 

Question 33

You have the following C# function.
 Image
You call the function by using the following code.
 Image
Which output will you receive?

A. The quick -The lazy

B. the quick brown fox jumps over the lazy dog

C. jumps over the

D. quick brown foxlazy dog

 


Suggested Answer: D

 

Question 34

You have an Azure subscription that contains an Azure AI Service resource named CSAccount1 and a virtual network named VNet1. CSAaccount1 is connected to VNet1.
You need to ensure that only specific resources can access CSAccount1. The solution must meet the following requirements:
•	Prevent external access to CSAccount1.
•	Minimize administrative effort.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct answer is worth one point.

A. In VNet1, enable a service endpoint for CSAccount1.

B. In CSAccount1, configure the Access control (IAM) settings.

C. In VNet1, modify the virtual network settings.

D. In VNet1, create a virtual subnet.

E. In CSAccount1, modify the virtual network settings.

 


Suggested Answer: AD

 

Question 35

You are building an AI solution that will use Sentiment Analysis results from surveys to calculate bonuses for customer service staff.
You need to ensure that the solution meets the Microsoft responsible AI principles.
What should you do?

A. Add a human review and approval step before making decisions that affect the staff’s financial situation.

B. Include the Sentiment Analysis results when surveys return a low confidence score.

C. Use all the surveys, including surveys by customers who requested that their account be deleted and their data be removed.

D. Publish the raw survey data to a central location and provide the staff with access to the location.

 


Suggested Answer: A

 

Question 36

You have a file share that contains 5,000 images of scanned invoices.
You need to analyze the images. The solution must extract the following data:
•	Invoice items
•	Sales amounts
•	Customer details
What should you use?

A. Custom Vision

B. Azure AI Computer Vision

C. Azure AI Immersive Reader

D. Azure AI Document Intelligence

 


Suggested Answer: D

 

Question 37

You are designing a content management system.
You need to ensure that the reading experience is optimized for users who have reduced comprehension and learning differences, such as dyslexia. The solution must minimize development effort.
Which Azure service should you include in the solution?

A. Azure AI Immersive Reader

B. Azure AI Translator

C. Azure AI Document Intelligence

D. Azure AI Language

 


Suggested Answer: A

 

Question 38

SIMULATION -
You need to create a Form Recognizer resource named fr12345678.
Use the Form Recognizer sample labeling tool at https://fott-2-1.azurewebsites.net/ to analyze the invoice located in the C:ResourcesInvoices folder.
Save the results as C:ResourcesInvoicesResults.json.
To complete this task, sign in to the Azure portal and open the Form Recognizer sample labeling tool.

 


Suggested Answer: See explanation below.

Step 1: Sign in to the Azure Portal.
Step 2: Navigate to the Form Recognizer Sample Tool (at https://fott-2-1.azurewebsites.net)
Step 3: On the sample tool home page select Use prebuilt model to get data.
Reference Image
Step 4: Select the Form Type you would like to analyze from the dropdown window.
Step 5: In the Source: URL field, paste the selected URL and select the Fetch button.
Step 6: In the Choose file for analysis use the file in the C:ResourcesInvoices folder and select the Fetch button.
Reference Image
Step 7: Select Run analysis. The Form Recognizer Sample Labeling tool will call the Analyze Prebuilt API and analyze the document.
Step 8: View the results – see the key-value pairs extracted, line items, highlighted text extracted and tables detected.
Reference Image
Step 9: Save the results as C:ResourcesInvoicesResults.json.
Reference:https://fott-2-1.azurewebsites.net)

Step 3: On the sample tool home page select Use prebuilt model to get data.
Reference Image
Step 4: Select the Form Type you would like to analyze from the dropdown window.
Step 5: In the Source: URL field, paste the selected URL and select the Fetch button.
Step 6: In the Choose file for analysis use the file in the C:ResourcesInvoices folder and select the Fetch button.
Reference Image
Step 7: Select Run analysis. The Form Recognizer Sample Labeling tool will call the Analyze Prebuilt API and analyze the document.
Step 8: View the results – see the key-value pairs extracted, line items, highlighted text extracted and tables detected.
<img src=”https://www.examtopics.com/assets/media/exam-media/04271/0005300001.jpg” alt=”Reference Image” />
Step 9: Save the results as C:ResourcesInvoicesResults.json.
Reference:
https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/quickstarts/try-sample-label-tool

Question 39

HOTSPOT -
You are developing the shopping on-the-go project.
You need to build the Adaptive Card for the chatbot.
How should you complete the code? 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: name [language]
Chatbot must support interactions in English, Spanish, and Portuguese.
Box 2: “$when:${stockLevel != ‘OK’}”
Product displays must include images and warnings when stock levels are low or out of stock.
Box 3: image.altText[language]

Question 40

You are building a chatbot by using the Microsoft Bot Framework Composer as shown in the exhibit. (Click the Exhibit tab.)
 Image
The chatbot contains a dialog named GetUserDetails. GetUserDetails contains a TextInput control that prompts users for their name.
The user input will be stored in a property named name.
You need to ensure that you can dispose of the property when the last active dialog ends.
Which scope should you assign to name?

A. dialog

B. user

C. turn

D. conversation

 


Suggested Answer: A

The dialog scope associates properties with the active dialog. Properties in the dialog scope are retained until the dialog ends.
Incorrect Answers:
A: The conversation scope associates properties with the current conversation. Properties in the conversation scope have a lifetime of the conversation itself.
These properties are in scope while the bot is processing an activity associated with the conversation (for example, multiple users together in a Microsoft Teams channel).
B: The user scope associates properties with the current user. Properties in the user scope do not expire. These properties are in scope while the bot is processing an activity associated with the user.
C: The turn scope associates properties with the current turn. Properties in the turn scope expire at the end of the turn.
Reference:
https://docs.microsoft.com/en-us/composer/concept-memory?tabs=v2x

Question 41

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 a web app named app1 that runs on an Azure virtual machine named vm1. Vm1 is on an Azure virtual network named vnet1.
You plan to create a new Azure Cognitive Search service named service1.
You need to ensure that app1 can connect directly to service1 without routing traffic over the public internet.
Solution: You deploy service1 and a public endpoint, and you configure a network security group (NSG) for vnet1.
Does this meet the goal?

A. Yes

B. No

 


Suggested Answer: B

Instead deploy service1 and a private (not public) endpoint to a new virtual network, and you configure Azure Private Link.
Reference:
https://docs.microsoft.com/en-us/azure/private-link/private-link-overview

Question 42

You need to implement a table projection to generate a physical expression of an Azure Cognitive Search index.
Which three properties should you specify in the skillset definition JSON configuration table node? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. tableName

B. generatedKeyName

C. dataSource

D. dataSourceConnection

E. source

 


Suggested Answer: ABE

Defining a table projection.
Each table requires three properties:
✑ tableName: The name of the table in Azure Storage.
✑ generatedKeyName: The column name for the key that uniquely identifies this row.
✑ source: The node from the enrichment tree you are sourcing your enrichments from. This node is usually the output of a shaper, but could be the output of any of the skills.
Reference:
https://docs.microsoft.com/en-us/azure/search/knowledge-store-projection-overview

Question 43

You are building an app named App1 that will use Azure AI Document Intelligence to extract the following data from scanned documents:
•	Shipping address
•	Billing address
•	Customer ID
•	Amount due
•	Due date
•	Total tax
•	Subtotal
You need to identify which model to use for App1. The solution must minimize development effort.
Which model should you use?

A. custom extraction model

B. contract

C. invoice

D. general document

 


Suggested Answer: C

 

Question 44

You successfully run the following HTTP request.
POST https://management.azure.com/subscriptions/18c51a87-3a69-47a8-aedc-a54745f708a1/resourceGroups/RG1/providers/
Microsoft.CognitiveServices/accounts/contoso1/regenerateKey?api-version=2017-04-18
Body{"keyName": "Key2"}
What is the result of the request?

A. A key for Azure Cognitive Services was generated in Azure Key Vault.

B. A new query key was generated.

C. The primary subscription key and the secondary subscription key were rotated.

D. The secondary subscription key was reset.

 


Suggested Answer: B

Accounts – Regenerate Key regenerates the specified account key for the specified Cognitive Services account.
Syntax:
POST https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.CognitiveServices/accounts/
{accountName}/regenerateKey?api-version=2017-04-18
Reference:https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.CognitiveServices/accounts/

{accountName}/regenerateKey?api-version=2017-04-18
Reference:
https://docs.microsoft.com/en-us/rest/api/cognitiveservices/accountmanagement/accounts/regeneratekey

Question 45

DRAG DROP
-
You have a collection of Microsoft Word documents and PowerPoint presentations in German.
You need to create a solution to translate the files to French. The solution must meet the following requirements:
•	Preserve the original formatting of the files.
•	Support the use of a custom glossary.
You create a blob container for German files and a blob container for French files. You upload the original files to the container for German files.
Which three actions should you perform in sequence to complete the solution? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 46

HOTSPOT
-
You are building a solution that students will use to find references for essays.
You use the following code to start building the solution.
 Image
For each of the following statements, select Yes is the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 47

HOTSPOT
-
You plan to deploy a containerized version of an Azure Cognitive Services service that will be used for sentiment analysis.
You configure https://contoso.cognitiveservices.azure.com as the endpoint URI for the service.
You need to run the container on an Azure virtual machine by using Docker.
How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 48

You have an Azure subscription.
You need to build an app that will compare documents for semantic similarity. The solution must meet the following requirements:
•	Return numeric vectors that represent the tokens of each document.
•	Minimize development effort.
Which Azure OpenAI model should you use?

A. GPT-3.5

B. GPT-4

C. embeddings

D. DALL-E

 


Suggested Answer: C

 

Question 49

HOTSPOT
-
You have an Azure subscription that contains an Azure AI Document Intelligence resource named DI1.
You build an app named App1 that analyzes PDF files for handwritten content by using DI1.
You need to ensure that App1 will recognize the handwritten content.
How should you complete the code? To answer, select the appropriate options in the answer area.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 50

DRAG DROP -
You are developing a solution for the Management-Bookkeepers group to meet the document processing requirements. The solution must contain the following components:
✑ A From Recognizer resource
✑ An Azure web app that hosts the Form Recognizer sample labeling tool
The Management-Bookkeepers group needs to create a custom table extractor by using the sample labeling tool.
Which three actions should the Management-Bookkeepers group perform in sequence? To answer, move the appropriate cmdlets from the list of cmdlets to the answer area and arrange them in the correct order.
Select and Place:
 Image

 


Suggested Answer:
Correct Answer Image

Step 1: Create a new project and load sample documents
Create a new project. Projects store your configurations and settings.
Step 2: Label the sample documents
When you create or open a project, the main tag editor window opens.
Step 3: Train a custom model.
Finally, train a custom model.
Reference:
https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/label-tool

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