Designing and Implementing a Microsoft Azure AI Solution AI-102 Exam Questions with Experts Answers Updated Recently

Comprehensive Detailed ExplanationThe scenario:

You are building an Azure WebJob to create knowledge bases from an array of URLs.

You already have a QnAMakerClient object instantiated with the relevant API keys.

You need to know what steps are required to create a knowledge base programmatically.

CreateKbDTO is the request payload for creating a knowledge base.

It contains the name of the knowledge base and its sources, which may include:

A list of URLs.

A list of QnA pairs (QnADTO).

A list of files (FileDTO).

In this case, since the WebJob provides URLs, they will be passed inside the CreateKbDTO.Sources property.

Once the CreateKbDTO object is defined, you use the QnAMakerClient to send the request:

var response = await client.Knowledgebase.CreateAsync(createKbDTO);

This triggers the asynchronous creation of a new knowledge base in the QnA Maker service.

A. Create a list of FileDTO objects: Not required here, because the question specifies URLs, not files.

C. Create a list of QnADTO objects: Also not needed, since you’re not directly supplying QnA pairs; the knowledge base will be built from URLs.

Step 1 – Create a CreateKbDTO objectStep 2 – Call client.Knowledgebase.CreateAsyncWhy not A or C?

Correct AnswerB. Call the client.Knowledgebase.CreateAsync method.

D. Create a CreateKbDTO object.

QnA Maker – Create Knowledge Base API

QnAMakerClient Class – Azure SDK for .NET

CreateKbDTO Class

Microsoft References

You are using Azure Cognitive Search, where access is controlled by:

Admin keys: Provide full read/write control (never given to apps).

Query keys: Provide read-only access, meant for client apps.

Here, the query key has been compromised. You want to minimize downtime and ensure continued read-only access.

First, generate a new query key from the Azure portal or via REST API.

This allows you to continue providing read-only access to authorized apps.

Update the application configuration so that it authenticates requests with the new query key.

This ensures uninterrupted service while preparing to retire the compromised key.

Once the app is using the new key successfully, revoke the compromised query key.

This prevents further unauthorized usage.

Step 1 – Add a new query keyStep 2 – Change the app to use the new keyStep 3 – Delete the compromised key

Regenerate primary/secondary admin key: Not necessary since only the query key is compromised, and admin keys give full control.

Change app to use secondary admin key: Insecure (admin keys should never be exposed to client apps).

Why not other options?

Add a new query key.

Change the app to use the new key.

Delete the compromised key.

Correct Sequence

Manage admin and query keys in Azure Cognitive Search

Create and use query keys

Microsoft References

You have press releases stored as PDF files. The task involves two parts:

Extract text

The correct service for OCR and text extraction from images and PDFs is Azure Computer Vision (specifically, the OCR and Read API).

While Form Recognizer can also extract text, it is primarily used for structured documents like invoices, receipts, or forms. Since the documents here are press releases (unstructured text), the best service is Computer Vision.

Perform sentiment analysis

Sentiment analysis falls under natural language processing (NLP).

The correct service is Azure AI Language (Text Analytics API).

It provides sentiment analysis, opinion mining, key phrase extraction, entity recognition, and more.

Why not other options?

Azure Cognitive Search is used for search indexing, not OCR or sentiment.

Form Recognizer specializes in structured document extraction, not sentiment analysis.

Computer Vision cannot perform sentiment analysis (only visual/text extraction).

Correct Answer:

Extract text → Computer Vision

Perform sentiment analysis → Language

Computer Vision Read OCR

Language service – Sentiment Analysis

Microsoft References