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AI-102 Practice Questions

Question # 1

You train a Conversational Language Understanding model to understand the natural language input of users.
You need to evaluate the accuracy of the model before deploying it.
What are two methods you can use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

 

A.

From the language authoring REST endpoint, retrieve the model evaluation summary.

B.

From Language Studio, enable Active Learning, and then validate the utterances logged for review.

C.

From Language Studio, select Model performance.

D.

From the Azure portal, enable log collection in Log Analytics, and then analyze the logs.



A.

From the language authoring REST endpoint, retrieve the model evaluation summary.


C.

From Language Studio, select Model performance.



Question # 2

You are building a 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 fram the model.
Which type of custom entity should you use?

A.

Pattera.any

B.

machine-learning

C.

list

D.

regular expression



C.

list



Question # 3

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



D.

Azure Cognitive Search


E.

Azure App Service


Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/set-upqnamaker-
service-azure?tabs=v1#delete-azure-resources
"When you create a QnAMaker resource, you host the data in your own Azure subscription.
Azure Search is used to index your data." & "When you create a QnAMaker resource, you
host the runtime in your own Azure subscription. App Service is the compute engine that
runs the QnA Maker queries for you."


Question # 4

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.

key phrase extraction

B.

optical character recognition (OCR)

C.

document extraction

D.

image analysis



B.

optical character recognition (OCR)



Question # 5

You are developing a new sales system that will process the video and text from a publicfacing
website.
You plan to notify users that their data has been processed by the sales system.
Which responsible AI principle does this help meet?

A.

transparency

B.

fairness

C.

inclusiveness

D.

reliability and safety



A.

transparency


Explanation: "When an AI application relies on personal data, such as a facial recognition
system that takes images of people to recognize them; you should make it clear to the user
how their data is used and retained, and who has access to it." from:
https://docs.microsoft.com/en-us/learn/paths/prepare-for-ai-engineering/


Question # 6

You have an Azure subscription that has the following configurations:
• Subscription ID: 8d3591aa-96b8-4737-ad09-OOf9b1ed35ad
• Tenant ID: 3edfe572-cbS4-3ced-ae12-c5c177f39a12
You plan to create a resource that will perform sentiment analysis and optical character recognition (OCR).
You need to use an HTTP request to create the resource in the subscription. The solution must use a single key and endpoint.
How should you complete the request? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


Question # 7

You are building a bot on a local computer by using the Microsoft Bot Framework. The bot
will use an existing Language Understanding model.
You need to translate the Language Understanding model locally by using the Bot
Framework CLI. What should you do first?

A.

From the Language Understanding portal, clone the model.

B.

Export the model as an .lu file.

C.

Create a new Speech service.

D.

Create a new Language Understanding service.



B.

Export the model as an .lu file.


Explanation:
You might want to manage the translation and localization for the language understanding
content for your bot independently.
Translate command in the @microsoft/bf-lu library takes advantage of the Microsoft text
translation API to automatically machine translate .lu files to one or more than 60+
languages supported by the Microsoft text translation cognitive service.
What is translated?
An .lu file and optionally translate Comments in the lu file
LU reference link texts
List of .lu files under a specific path.
Reference:
https://github.com/microsoft/botframework-cli/blob/main/packages/luis/docs/translatecommand.
md


Question # 8

What is a characteristic of a non-relational database?

A.

full support for Transact-SGL

B.

a fixed schema

C.

self describing entities



C.

self describing entities



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Microsoft AI-102 Exam Dumps

Exam Name: Designing and Implementing a Microsoft Azure AI Solution
Certification Name: Azure AI Engineer Associate AI-102 - Designing and Implementing a Microsoft Azure AI Solution

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  • Total Questions: 307
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