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New Azure AI Engineer Associate AI-102 - Designing and Implementing a Microsoft Azure AI Solution AI-102 Exam Practice Questions

Total 321 Questions

Last Updated On: 15-Apr-2025

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Question # 1

You build a language model by using Conversational Language Understanding. 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 m Ukraine.
You need to implement the phrase list in Conversational Language Understanding.
Solution: You create a new utterance for each phrase in the FindContact intent.

Does this meet the goal?

Yes

Question # 2

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. describelmagelnStreamAsync
C. toglfiagelnStreaaAsync
D. analyreImageByDomainInStreamAsync

analyreImageByDomainInStreamAsync

Question # 3

You are developing the chatbot. You create the following components: • A QnA Maker resource • A chatbot by using the Azure Bot Framework SDK You need to add an additional component to meet the technical requirements and the chatbot requirements. What should you add?
A. Dispatch
B. chatdown
C. Language Understanding
D. Microsoft Translator

Dispatch

Explanation:
Scenario: All planned projects must support English, French, and Portuguese.
If a bot uses multiple LUIS models and QnA Maker knowledge bases (knowledge bases),
you can use the Dispatch tool to determine which LUIS model or QnA Maker knowledge
base best matches the user input. The dispatch tool does this by creating a single LUIS
app to route user input to the correct model.
Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-tutorial-dispatch

Question # 4

You create five bots by using Microsoft Bot Framework Composer. You need to make a single bot available to users that combines the bots. The solution must support dynamic routing to the bots based on user input. Which three actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. Create an Orchestrator model.
B. Change the Recognizer/Dispatch type.
C. Create a composer extension.
D. Enable WebSockets.
E. Install the Orchestrator package.

Create an Orchestrator model.

Change the Recognizer/Dispatch type.

Question # 5

Your company uses an Azure Cognitive Services solution to detect faces in uploaded images. The method to detect the faces uses the following code. You discover that the solution frequently fails to detect faces in blurred images and in images that contain sideways faces.
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. 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?

Change the detection model.
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?

Explanation:
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.

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 m User Messages has a field named MessageCopy that contains the text of social media messages sent by a user Users win 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. Winch attributes should you enable for the field?
A. Searchable arc Retrievable
B. Sortable and Retrievable
C. Searchable arc Facetable
D. Filterable and Retrievable

Searchable arc Retrievable

Question # 7

You are developing the chatbot. You create the following components: * A QnA Maker resource * A chatbot by using the Azure Bot Framework SDK. You need to integrate the components to meet the chatbot requirements. Which property should you use?
A. QnADialogResponseOptions.CardNoMatchText
B. Qna MakerOptions-ScoreThreshold
C. Qna Maker Op t ions StrickFilters
D. QnaMakerOptions.RankerType

QnaMakerOptions.RankerType

Explanation:
Scenario: When the response confidence score is low, ensure that the chatbot can provide
other response options to the customers.
When no good match is found by the ranker, the confidence score of 0.0 or "None" is
returned and the default response is "No good match found in the KB". You can override
this default response in the bot or application code calling the endpoint. Alternately, you
can also set the override response in Azure and this changes the default for all knowledge
bases deployed in a particular QnA Maker service.
Choosing Ranker type: By default, QnA Maker searches through questions and answers. If
you want to search through questions only, to generate an answer, use the
RankerType=QuestionOnly in the POST body of the GenerateAnswer request.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/concepts/bestpractices

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