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AI-102 Mock Test Free

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  • AI-102 Mock Test Free – 50 Realistic Questions to Prepare with Confidence.
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AI-102 Mock Test Free – 50 Realistic Questions to Prepare with Confidence.

Getting ready for your AI-102 certification exam? Start your preparation the smart way with our AI-102 Mock Test Free – a carefully crafted set of 50 realistic, exam-style questions to help you practice effectively and boost your confidence.

Using a mock test free for AI-102 exam is one of the best ways to:

  • Familiarize yourself with the actual exam format and question style
  • Identify areas where you need more review
  • Strengthen your time management and test-taking strategy

Below, you will find 50 free questions from our AI-102 Mock Test Free resource. These questions are structured to reflect the real exam’s difficulty and content areas, helping you assess your readiness accurately.

Question 1

You have an Azure OpenAI model named AI1.
You are building a web app named App1 by using the Azure OpenAI SDK.
You need to configure App1 to connect to AI1.
What information must you provide?

A. the endpoint, key, and model name

B. the deployment name, key, and model name

C. the deployment name, endpoint, and key

D. the endpoint, key, and model type

 


Suggested Answer: C

 

Question 2

You have the following C# method for creating Azure Cognitive Services resources programmatically.
 Image
You need to call the method 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(client, “res1”, “ComputerVision”, “F0”, “westus”)

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

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

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

 


Suggested Answer: B

Many of the Cognitive Services have a free tier you can use to try the service. To use the free tier, use F0 as the SKU for your resource.
There are two tiers of keys for the Custom Vision service. You can sign up for a F0 (free) or S0 (standard) subscription through the Azure portal.
Incorrect Answers:
A: There is no free tier (F0) for ComputerVision.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/cognitive-services-apis-create-account-client-library?pivots=programming-language-csharp
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/limits-and-quotas

Question 3

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 4

You build a Conversational Language Understanding model by using the Language Services portal.
You export the model as a JSON file as shown in the following sample.
 Image
To what does the Weather.Historic entity correspond in the utterance?

A. by month

B. chicago

C. rain

D. location

 


Suggested Answer: A

 

Question 5

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 6

You have an app that analyzes images by using the Computer Vision API.
You need to configure the app to provide an output for users who are vision impaired. The solution must provide the output in complete sentences.
Which API call should you perform?

A. readInStreamAsync

B. analyzeImagesByDomainInStreamAsync

C. tagImageInStreamAsync

D. describeImageInStreamAsync

 


Suggested Answer: D

 

Question 7

You build a bot by using the Microsoft Bot Framework SDK and the Azure Bot Service.
You plan to deploy the bot to Azure.
You register the bot by using the Bot Channels Registration service.
Which two values are required to complete the deployment? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. botId

B. tenantId

C. appId

D. objectId

E. appSecret

 


Suggested Answer: CE

Reference:
https://github.com/MicrosoftDocs/bot-docs/blob/live/articles/bot-service-quickstart-registration.md

Question 8

You have an Azure AI service model named Model1 that identifies the intent of text input.
You develop a Python app named App1.
You need to configure App1 to use Model1.
Which package should you add to App1?

A. azure-cognitiveservices-language-textanalytics

B. azure-ai-language-conversations

C. azure-mgmt-cognitiveservices

D. azure-cognitiveservices-speech

 


Suggested Answer: D

 

Question 9

DRAG DROP -
You are building a retail chatbot that will use a QnA Maker service.
You upload an internal support document to train the model. The document contains the following question: "What is your warranty period?"
Users report that the chatbot returns the default QnA Maker answer when they ask the following question: "How long is the warranty coverage?"
The chatbot returns the correct answer when the users ask the following question: 'What is your warranty period?"
Both questions should return the same answer.
You need to increase the accuracy of the chatbot responses.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Select and Place:
 Image

 


Suggested Answer:
Correct Answer Image

Step 1: Add alternative phrasing to the question and answer (QnA) pair.
Add alternate questions to an existing QnA pair to improve the likelihood of a match to a user query.
Step 2: Retrain the model.
Periodically select Save and train after making edits to avoid losing changes.
Step 3: Republish the model –
Note: A knowledge base consists of question and answer (QnA) pairs. Each pair has one answer and a pair contains all the information associated with that answer.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/edit-knowledge-base

Question 10

DRAG DROP -
You are using a Language Understanding service to handle natural language input from the users of a web-based customer agent.
The users report that the agent frequently responds with the following generic response: "Sorry, I don't understand that."
You need to improve the ability of the agent to respond to requests.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Select and Place:
 Image

 


Suggested Answer:
Correct Answer Image

Step 1: Add prebuilt domain models as required.
Prebuilt models provide domains, intents, utterances, and entities. You can start your app with a prebuilt model or add a relevant model to your app later.
Note: Language Understanding (LUIS) provides prebuilt domains, which are pre-trained models of intents and entities that work together for domains or common categories of client applications.
The prebuilt domains are trained and ready to add to your LUIS app. The intents and entities of a prebuilt domain are fully customizable once you’ve added them to your app.
Step 2: Enable active learning –
To enable active learning, you must log user queries. This is accomplished by calling the endpoint query with the log=true querystring parameter and value.
Step 3: Train and republish the Language Understanding model
The process of reviewing endpoint utterances for correct predictions is called Active learning. Active learning captures endpoint queries and selects user’s endpoint utterances that it is unsure of. You review these utterances to select the intent and mark entities for these real-world utterances. Accept these changes into your example utterances then train and publish. LUIS then identifies utterances more accurately.
Incorrect Answers:
Enable log collection by using Log Analytics
Application authors can choose to enable logging on the utterances that are sent to a published application. This is not done through Log Analytics.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-how-to-review-endpoint-utterances#log-user-queries-to-enable-active-learning
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-prebuilt-model

Question 11

You are building a conversational language understanding model.
You need to enable active learning.
What should you do?

A. Add show-all-intents=true to the prediction endpoint query.

B. Enable speech priming.

C. Add log=true to the prediction endpoint query.

D. Enable sentiment analysis.

 


Suggested Answer: C

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-how-to-review-endpoint-utterances#log-user-queries-to-enable-active-learning

Question 12

You are developing the knowledgebase.
You use Azure Video Analyzer for Media (previously Video indexer) to obtain transcripts of webinars.
You need to ensure that the solution meets the knowledgebase requirements.
What should you do?

A. Create a custom language model

B. Configure audio indexing for videos only

C. Enable multi-language detection for videos

D. Build a custom Person model for webinar presenters

 


Suggested Answer: B

Can search content in different formats, including video
Audio and video insights (multi-channels). When indexing by one channel, partial result for those models will be available.
Keywords extraction: Extracts keywords from speech and visual text.
Named entities extraction: Extracts brands, locations, and people from speech and visual text via natural language processing (NLP).
Topic inference: Makes inference of main topics from transcripts. The 2nd-level IPTC taxonomy is included.
Artifacts: Extracts rich set of “next level of details” artifacts for each of the models.
Sentiment analysis: Identifies positive, negative, and neutral sentiments from speech and visual text.
Incorrect Answers:
C: Webinars Videos are in English.
Reference:
https://docs.microsoft.com/en-us/azure/azure-video-analyzer/video-analyzer-for-media-docs/video-indexer-overview

Question 13

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 14

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 15

You are building an internet-based training solution. The solution requires that a user's camera and microphone remain enabled.
You need to monitor a video stream of the user and detect when the user asks an instructor a question. The solution must minimize development effort.
What should you include in the solution?

A. speech-to-text in the Azure AI Speech service

B. language detection in Azure AI Language Service

C. the Face service in Azure AI Vision

D. object detection in Azure AI Custom Vision

 


Suggested Answer: A

 

Question 16

You are building an app that will use the Azure AI Video Indexer service.
You plan to train a language model to recognize industry-specific terms.
You need to upload a file that contains the industry-specific terms.
Which file format should you use?

A. XML

B. TXT

C. XLS

D. PDF

 


Suggested Answer: B

 

Question 17

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 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

HOTSPOT
-
You are developing a streaming Speech to Text solution that will use the Speech SDK and MP3 encoding.
You need to develop a method to convert speech to text for streaming MP3 data.
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 20

HOTSPOT -
You are developing an application that will use the Computer Vision client library. The application has the following code.
 Image
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
 Image

 


Suggested Answer:
Correct Answer Image

Box 1: No –
Box 2: Yes –
The ComputerVision.analyzeImageInStreamAsync operation extracts a rich set of visual features based on the image content.
Box 3: No –
Images will be read from a stream.
Reference:
https://docs.microsoft.com/en-us/java/api/com.microsoft.azure.cognitiveservices.vision.computervision.computervision.analyzeimageinstreamasync

Question 21

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 22

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 a chatbot that uses question answering in Azure Cognitive Service for Language.
Users report that the responses of the chatbot lack formality when answering spurious questions.
You need to ensure that the chatbot provides formal responses to spurious questions.
Solution: From Language Studio, you change the chitchat source to qna_chitchat_professional.tsv, and then retrain and republish the model.
Does this meet the goal?

A. Yes

B. No

 


Suggested Answer: A

 

Question 23

Your company uses an Azure Cognitive Services solution to detect faces in uploaded images. The method to detect the faces uses the following code.
 Image
You discover that the solution frequently fails to detect faces in blurred images and in images that contain sideways faces.
You need to increase the likelihood that the solution can detect faces in blurred images and images that contain sideways faces.
What should you do?

A. Use a different version of the Face API.

B. Use the Computer Vision service instead of the Face service.

C. Use the Identify method instead of the Detect method.

D. Change the detection model.

 


Suggested Answer: D

Evaluate different models.
The best way to compare the performances of the detection models is to use them on a sample dataset. We recommend calling the Face – Detect API on a variety of images, especially images of many faces or of faces that are difficult to see, using each detection model. Pay attention to the number of faces that each model returns.
The different face detection models are optimized for different tasks. See the following table for an overview of the differences.
Reference Image
Reference: alt=”Reference Image” />
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model

Question 24

HOTSPOT
-
You develop a test method to verify the results retrieved from a call to the Computer Vision API. The call is used to analyze the existence of company logos in images. The call returns a collection of brands named brands.
You have the following code segment.
 Image
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 25

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 create and publish a Language Understanding (classic) model named 1u12345678. The model will contain an intent of Travel that has an utterance of
Boat.
To complete this task, sign in to the Language Understanding portal at httptc//www.luis-ai/.

 


Suggested Answer: See explanation below.

Create your LUIS model –
1. You should navigate to your LUIS.ai management portal and create a new application. In the portal create a model.
Model name: 1u12345678 –
2. Define one intent as ג€Travelג€ and add an example utterances of Boat.
Reference Image
3. Publish the model
In order to use your model, you have to publish it. This is as easy as hitting the Publish tab, selecting between the production or staging environments, and hitting
Publish. As you can see from this page, you can also choose to enable sentiment analysis, speech priming to improve speech recognition, or the spell checker.
For now, you can leave those unchecked.
Reference: alt=”Reference Image” />
3. Publish the model
In order to use your model, you have to publish it. This is as easy as hitting the Publish tab, selecting between the production or staging environments, and hitting
Publish. As you can see from this page, you can also choose to enable sentiment analysis, speech priming to improve speech recognition, or the spell checker.
For now, you can leave those unchecked.
Reference:
https://docs.microsoft.com/en-us/azure/health-bot/language_model_howto
https://www.codemag.com/article/1809021/Natural-Language-Understanding-with-LUIS

Question 26

DRAG DROP -
You need to develop an automated call handling system that can respond to callers in their own language. The system will support only French and English.
Which Azure Cognitive Services service should you use to meet each requirement? To answer, drag the appropriate services to the correct requirements. Each service may be used once, more than once, or not at all. You may need to drag the split bat between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Select and Place:
 Image

 


Suggested Answer:
Correct Answer Image

Box 1: Text Analytics –
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.
Incorrect Answers:
Speaker Recognition which accurately verifies and identifies speakers by their unique voice characteristics.
Box 2: Translator –
Translator is a cloud-based neural machine translation service that is part of the Azure Cognitive Services family of REST APIs. Translator can be used with any operating system and powers many Microsoft products and services used by thousands of businesses worldwide to perform language translation and other language-related operations.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-language-detection
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/translator-overview

Question 27

DRAG DROP -
You plan to use a Language Understanding application named app1 that is deployed to a container.
App1 was developed by using a Language Understanding authoring resource named lu1.
App1 has the versions shown in the following table.
 Image
You need to create a container that uses the latest deployable version of app1.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Select and Place:
 Image

 


Suggested Answer:
Correct Answer Image

Step 1: Export the model using the Export for containers (GZIP) option.
Export versioned app’s package from LUIS portal
The versioned app’s package is available from the Versions list page.
1. Sign on to the LUIS portal.
2. Select the app in the list.
3. Select Manage in the app’s navigation bar.
4. Select Versions in the left navigation bar.
5. Select the checkbox to the left of the version name in the list.
6. Select the Export item from the contextual toolbar above the list.
7. Select Export for container (GZIP).
8. The package is downloaded from the browser.
Reference Image
Step 2: Select v1.1 of app1.
A trained or published app packaged as a mounted input to the container with its associated App ID.
Step 3: Run a contain and mount the model file.
Run the container, with the required input mount and billing settings.
Reference: alt=”Reference Image” />
Step 2: Select v1.1 of app1.
A trained or published app packaged as a mounted input to the container with its associated App ID.
Step 3: Run a contain and mount the model file.
Run the container, with the required input mount and billing settings.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto

Question 28

You are developing a solution to generate a word cloud based on the reviews of a company's products.
Which Text Analytics REST API endpoint should you use?

A. keyPhrases

B. sentiment

C. languages

D. entities/recognition/general

 


Suggested Answer: A

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

Question 29

HOTSPOT -
You need to create a new resource that will be used to perform sentiment analysis and optical character recognition (OCR). The solution must meet the following requirements:
✑ Use a single key and endpoint to access multiple services.
✑ Consolidate billing for future services that you might use.
✑ Support the use of Computer Vision in the future.
How should you complete the HTTP request to create the new resource? 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: PUT –
Sample Request: PUT https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/test-rg/providers/
Microsoft.DeviceUpdate/accounts/contoso?api-version=2020-03-01-preview
Incorrect Answers:
PATCH is for updates.
Box 2: CognitiveServices –
Microsoft Azure Cognitive Services provide us to use its pre-trained models for various Business Problems related to Machine Learning.
List of Different Services are:
✑ Decision
✑ Language (includes sentiment analysis)
✑ Speech
✑ Vision (includes OCR)
✑ Web Search
Reference:https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/test-rg/providers/

Microsoft.DeviceUpdate/accounts/contoso?api-version=2020-03-01-preview
Incorrect Answers:
PATCH is for updates.
Box 2: CognitiveServices –
Microsoft Azure Cognitive Services provide us to use its pre-trained models for various Business Problems related to Machine Learning.
List of Different Services are:
✑ Decision
✑ Language (includes sentiment analysis)
✑ Speech
✑ Vision (includes OCR)
✑ Web Search
Reference:
https://docs.microsoft.com/en-us/rest/api/deviceupdate/resourcemanager/accounts/create
https://www.analyticsvidhya.com/blog/2020/12/microsoft-azure-cognitive-services-api-for-ai-development/

Question 30

SIMULATION -
You need to add a question pair to the published knowledge base used by a QnA Maker service named QNA12345678. The question must be: `What will be the next version of Windows?`
The answer must be: `Windows 11`.
To complete this task, sign in to the QnA Maker portal.

 


Suggested Answer: Answer: Windows 11

Step 1: Sign in to the QnA portal, then select the knowledge base to add the QnA pair to.
Step 2: On the EDIT page of the knowledge base, select Add QnA pair to add a new QnA pair.
Reference Image
Step 3: In the new QnA pair row, add the required question and answer fields. The other fields are optional. All fields can be changed at any time.
Question: What will be the next version of Windows?
Step 4: Select Save and train to see predictions including the new QnA pair.
Reference: alt=”Reference Image” />
Step 3: In the new QnA pair row, add the required question and answer fields. The other fields are optional. All fields can be changed at any time.
Question: What will be the next version of Windows?
Step 4: Select Save and train to see predictions including the new QnA pair.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/edit-knowledge-base

Question 31

You have an Azure subscription that contains a Language service resource named ta1 and a virtual network named vnet1.
You need to ensure that only resources in vnet1 can access ta1.
What should you configure?

A. a network security group (NSG) for vnet1

B. Azure Firewall for vnet1

C. the virtual network settings for ta1

D. a Language service container for ta1

 


Suggested Answer: C

 

Question 32

HOTSPOT
-
You are building a call handling system that will receive calls from French-speaking and German-speaking callers. The system must perform the following tasks:
•	Capture inbound voice messages as text.
•	Replay messages in English on demand.
Which Azure Cognitive Services services 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 33

HOTSPOT
-
You build a bot named app1 by using the Microsoft Bot Framework.
You prepare app1 for deployment.
You need to deploy app1 to Azure.
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 34

DRAG DROP
-
You have a question answering project in Azure Cognitive Service for Language.
You need to move the project to a Language service instance in a different Azure region.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 35

HOTSPOT
-
You are building an app that will automatically translate speech from English to French, German, and Spanish by using Azure AI service.
You need to define the output languages and configure the Azure AI Speech service.
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 36

You develop a custom question answering project in Azure Cognitive Service for Language. The project will be used by a chatbot.
You need to configure the project to engage in multi-turn conversations.
What should you do?

A. Add follow-up prompts.

B. Enable active learning.

C. Add alternate questions.

D. Enable chit-chat.

 


Suggested Answer: A

 

Question 37

You need to enable speech capabilities for a chatbot.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Enable WebSockets for the chatbot app.

B. Create a Speech service.

C. Register a Direct Line Speech channel.

D. Register a Cortana channel.

E. Enable CORS for the chatbot app.

F. Create a Language Understanding service.

 


Suggested Answer: ABC

You can use the Speech service to voice-enable a chat bot.
The Direct Line Speech channel uses the text-to-speech service, which has neural and standard voices.
You’ll need to make a small configuration change so that your bot can communicate with the Direct Line Speech channel using web sockets.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/tutorial-voice-enable-your-bot-speech-sdk

Question 38

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: A

 

Question 39

DRAG DROP -
You are developing a webpage that will use the Azure Video Analyzer for Media (previously Video Indexer) service to display videos of internal company meetings.
You embed the Player widget and the Cognitive Insights widget into the page.
You need to configure the widgets to meet the following requirements:
✑ Ensure that users can search for keywords.
✑ Display the names and faces of people in the video.
✑ Show captions in the video in English (United States).
How should you complete the URL for each widget? To answer, drag the appropriate values to the correct targets. Each value 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

Reference:
https://docs.microsoft.com/en-us/azure/azure-video-analyzer/video-analyzer-for-media-docs/video-indexer-embed-widgets

Question 40

You deploy a web app that is used as a management portal for indexing in Azure Cognitive Search. The app is configured to use the primary admin key.
During a security review, you discover unauthorized changes to the search index. You suspect that the primary access key is compromised.
You need to prevent unauthorized access to the index management endpoint. The solution must minimize downtime.
What should you do next?

A. Regenerate the primary admin key, change the app to use the secondary admin key, and then regenerate the secondary admin key.

B. Change the app to use a query key, and then regenerate the primary admin key and the secondary admin key.

C. Regenerate the secondary admin key, change the app to use the secondary admin key, and then regenerate the primary key.

D. Add a new query key, change the app to use the new query key, and then delete all the unused query keys.

 


Suggested Answer: A

Regenerate admin keys.
Two admin keys are created for each service so that you can rotate a primary key, using the secondary key for business continuity.
1. In the Settings >Keys page, copy the secondary key.
2. For all applications, update the API key settings to use the secondary key.
3. Regenerate the primary key.
4. Update all applications to use the new primary key.
Note: Two admin api-keys, referred to as primary and secondary keys in the portal, are automatically generated when the service is created and can be individually regenerated on demand. Having two keys allows you to roll over one key while using the second key for continued access to the service.
Reference:
https://docs.microsoft.com/en-us/azure/search/search-security-api-keys#regenerate-admin-keys

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 develop an application to identify species of flowers by training a Custom Vision model.
You receive images of new flower species.
You need to add the new images to the classifier.
Solution: You create a new model, and then upload the new images and labels.
Does this meet the goal?

A. Yes

B. No

 


Suggested Answer: B

The model needs to be extended and retrained.

Question 42

DRAG DROP
-
You are building an app that will scan confidential documents and use the Language service to analyze the contents.
You provision an Azure Cognitive Services resource.
You need to ensure that the app can make requests to the Language service endpoint. The solution must ensure that confidential documents remain on-premises.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 43

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 44

HOTSPOT
-
You plan to provision Azure Cognitive Services resources by using the following method.
You need to create a Standard tier resource that will convert scanned receipts into text.
 Image
How should you call the method? 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 45

HOTSPOT
-
You have an Azure subscription that contains an Azure OpenAI resource named AI1.
You build a chatbot that will use AI1 to provide generative answers to specific questions.
You need to ensure that the responses are more creative and less deterministic.
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 46

You develop a Conversational Language Understanding model by using Language Studio.
During testing, users receive incorrect responses to requests that do NOT relate to the capabilities of the model.
You need to ensure that the model identifies spurious requests.
What should you do?

A. Enable active learning.

B. Add entities.

C. Add examples to the None intent.

D. Add examples to the custom intents.

 


Suggested Answer: A

 

Question 47

You are building an app that will process scanned expense claims and extract and label the following data:
•	Merchant information
•	Time of transaction
•	Date of transaction
•	Taxes paid
•	Total cost
You need to recommend an Azure AI Document Intelligence model for the app. The solution must minimize development effort.
What should you use?

A. the prebuilt Read model

B. a custom template model

C. a custom neural model

D. the prebuilt receipt model

 


Suggested Answer: D

 

Question 48

You have an Azure Cognitive Search solution and an enrichment pipeline that performs Sentiment Analysis on social media posts.
You need to define a knowledge store that will include the social media posts and the Sentiment Analysis results.
Which two fields should you include in the definition? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. storageContainer

B. storageConnectionString

C. files

D. tables

E. objects

 


Suggested Answer: DE

Knowledge store definition –
A knowledge store is defined inside a skillset definition and it has two components:
A connection string to Azure Storage
Projections that determine whether the knowledge store consists of tables, objects or files.
The projections element is an array. You can create multiple sets of table-object-file combinations within one knowledge store.
“knowledgeStore”: {
“storageConnectionString”:”<YOUR-AZURE-STORAGE-ACCOUNT-CONNECTION-STRING>”,
“projections”:[
{
“tables”:[ ],
“objects”:[ ],
“files”:[ ]
}
}
The type of projection you specify in this structure determines the type of storage used by knowledge store.
Objects – project JSON document into Blob storage. The physical representation of an object is a hierarchical JSON structure that represents an enriched document.
Tables – project enriched content into Table Storage. Define a table projection when you need tabular reporting structures for inputs to analytical tools or export as data frames to other data stores. You can specify multiple tables within the same projection group to get a subset or cross section of enriched documents. Within the same projection group, table relationships are preserved so that you can work with all of them.
Projected content is not aggregated or normalized. The following screenshot shows a table, sorted by key phrase, with the parent document indicated in the adjacent column. In contrast with data ingestion during indexing, there is no linguistic analysis or aggregation of content. Plural forms and differences in casing are considered unique instances.
<img src=”https://www.examtopics.com/assets/media/exam-media/04271/0020100001.jpg” alt=”Reference Image” />
Incorrect:
Not C: files – project image files into Blob storage. A file is an image extracted from a document, transferred intact to Blob storage. Although it is named “files”, it shows up in Blob Storage, not file storage.

Question 49

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 a chatbot that uses question answering in Azure Cognitive Service for Language.
Users report that the responses of the chatbot lack formality when answering spurious questions.
You need to ensure that the chatbot provides formal responses to spurious questions.
Solution: From Language Studio, you remove all the chit-chat question and answer pairs, and then retrain and republish the model.
Does this meet the goal?

A. Yes

B. No

 


Suggested Answer: B

 

Question 50

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.
 Image
You need to implement the phrase list in Language Understanding.
Solution: You create a new entity for the domain.
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

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