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AI-102 Practice Questions

Question # 1

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.



Question # 2

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.



C.

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




Question # 3

You have a Video Indexer service that is used to provide a search interface over company
videos on your company's website.
You need to be able to search for videos based on who is present in the video. What
should you do?

A.

Create a person model and associate the model to the videos.

B.

Create person objects and provide face images for each object.

C.

Invite the entire staff of the company to Video Indexer

D.

Edit the faces in the videos.

E.

Upload names to a language model.



A.

Create a person model and associate the model to the videos.


Explanation:
Video Indexer supports multiple Person models per account. Once a model is created, you
can use it by providing the model ID of a specific Person model when uploading/indexing or
reindexing a video. Training a new face for a video updates the specific custom model that
the video was associated with.
Note: Video Indexer supports face detection and celebrity recognition for video content.
The celebrity recognition feature covers about one million faces based on commonly
requested data source such as IMDB, Wikipedia, and top LinkedIn influencers. Faces that
aren't recognized by the celebrity recognition feature are detected but left unnamed. Once
you label a face with a name, the face and name get added to your account's Person
model. Video Indexer will then recognize this face in your future videos and past videos.
Reference:
https://docs.microsoft.com/en-us/azure/media-services/video-indexer/customize-personmodel-
with-api



Question # 4

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.



Question # 5

You need to recommend a non-relational data store that is optimized for storing and
retrieving text files, videos, audio streams, and virtual disk images. The data store must
store data, some metadata, and a unique ID for each file. Which type of data store should
you recommend?

A.

columnar

B.

key/value

C.

document

D.

object



D.

object




Question # 6

You have an Azure subscription. The subscription contains an Azure OpenAI resource that hosts a GPT-3.5 Turbo model named Model1.
You configure Model1 to use the following system message: "You are an Al assistant that helps people solve mathematical puzzles. Explain your answers as if the request is by a 4-year-old."
Which type of prompt engineering technique is this an example of?

A.

few-shot learning

B.

affordance

C.

chain of thought

D.

priming



D.

priming




Question # 7

Note: This question is part of a series of questions that present the same scenario. Each
question in the series contains a unique solution that might meet the stated goals. Some
question sets might have more than one correct solution, while others might not have a
correct solution.
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 add the new images, and then use the Smart Labeler tool.
Does this meet the goal?

A.

Yes

B.

No



B.

No


Explanation:
The model need to be extended and retrained.
Note: Smart Labeler to generate suggested tags for images. This lets you label a large
number of images more quickly when training a Custom Vision model.



Question # 8

What is used to define a query in a stream processing jobs in Azure Stream Analytics?

A.

SQL

B.

XML

C.

YAML

D.

KOL



A.

SQL




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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: 321
  • Last Updation Date: 17-Feb-2025

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