AI-102 Timed Practice Test 3 — 10 Questions

Question 1

Which TWO Azure services can be used together with Azure OpenAI to implement a Retrieval-Augmented Generation (RAG) solution?

Accepted Answer

Azure Cosmos DB. Azure Cosmos DB is correct because it can serve as a vector database for storing and querying embeddings generated by Azure OpenAI. When combined with Azure AI Search, which provides hybrid search (vector + keyword) and indexing capabilities, it enables a complete RAG pipeline where relevant documents are retrieved and passed as context to the OpenAI model for grounded generation.

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Azure Blob Storage

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Azure SQL Database

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Azure Functions

Question 2

A company is deploying a solution using Azure AI Vision to analyze images of products on a retail website. They need to ensure that the image analysis is performed within a specific geographic boundary for data residency compliance. What should they configure?

Accepted Answer

Deploy the Azure AI Vision resource in the desired Azure region. Azure AI Vision resources are regional Azure resources, meaning all data processing and storage occur within the Azure region where the resource is deployed. By deploying the resource in the desired geographic region, you ensure that image analysis and any derived data remain within that boundary, satisfying data residency compliance requirements. This is the fundamental mechanism for controlling data location in Azure AI services.

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Create a private endpoint for the Vision resource

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Enable multi-region replication on the Vision resource

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Use the Free tier of Azure AI Vision

Question 3

A company is building an agentic solution using Microsoft Copilot Studio. The agent needs to retrieve customer order status from an external CRM API. The API requires OAuth 2.0 authentication with client credentials. Which connector configuration should the developer use?

Accepted Answer

Use the HTTP connector with OAuth2 client credentials grant type.. The HTTP connector in Microsoft Copilot Studio supports the OAuth 2.0 client credentials grant type, which is exactly what the external CRM API requires. This grant type allows the agent to authenticate as an application (not a user) by sending a client ID and client secret to obtain an access token, making it ideal for server-to-server API calls where no user interaction is needed.

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Use a custom connector with API Key authentication.

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Use a Power Automate flow with a CRM connector that uses service principal.

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Use an AI Builder model to call the API.

Question 4

Which THREE components are required to build a custom chat application using Azure OpenAI Service that can answer questions based on your own private data?

Accepted Answer

The 'Add your data' feature configured in Azure OpenAI Studio.. The 'Add your data' feature in Azure OpenAI Studio provides a no-code interface to connect your private data sources (e.g., Azure Blob Storage, local files) to an Azure OpenAI chat model. It automatically chunks the data, creates an Azure AI Search index, and configures the retrieval-augmented generation (RAG) pipeline, enabling the model to answer questions grounded in your proprietary content without fine-tuning.

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A fine-tuned custom model.

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An Azure OpenAI embeddings model deployment.

Question 5

A healthcare organization uses Azure AI Health Insights to analyze patient data. They must ensure that PHI is not logged by the AI services. Which configuration should you apply?

Accepted Answer

Enable diagnostic settings to stream logs to a Log Analytics workspace with a data masking rule. Azure AI Health Insights processes protected health information (PHI), and enabling diagnostic settings to stream logs to a Log Analytics workspace with a data masking rule allows you to redact sensitive PHI from logs before they are stored. Data masking rules in Log Analytics can be configured to hide patterns like patient IDs or names, ensuring compliance with HIPAA while still retaining operational logs.

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Disable all logging for the Azure AI resource

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Configure the resource to use a system-assigned managed identity

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Use Azure Policy to restrict logging to metadata only

Question 6

Which TWO Azure AI services can be used to extract text from images as part of a knowledge mining pipeline?

Accepted Answer

Azure AI Document Intelligence. Azure AI Document Intelligence (formerly Form Recognizer) is correct because it is specifically designed to extract text, tables, and key-value pairs from scanned documents and images using optical character recognition (OCR) and deep learning models. It is a core service for knowledge mining pipelines that require structured data extraction from unstructured documents.

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Azure AI Language

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Azure AI Video Indexer

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Azure AI Custom Vision

Question 7

A company is building an agent that uses Azure OpenAI Service to answer customer queries by querying a SQL database. The agent must be able to handle complex multi-turn conversations and maintain context. Which approach should the team use to implement the agent?

Accepted Answer

Use a conversational agent framework like AutoGen with a tool that executes SQL queries, and maintain conversation state.. AutoGen is a conversational agent framework designed for multi-turn, stateful interactions. It can maintain conversation context across turns and integrate a tool to execute SQL queries, which directly meets the requirement for complex multi-turn conversations with context retention. The other options either lack state management or rely on stateless prompt engineering, which is insufficient for maintaining context in a multi-turn agent.

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Use a single prompt that includes the entire conversation history and the latest user question, then generate SQL.

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Use a chain-of-thought prompt to generate SQL queries directly from user input, without maintaining conversation history.

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Use embeddings-based retrieval to find relevant past interactions and include them in the prompt.

Question 8

Your organization wants to implement a document processing pipeline that extracts text from scanned PDFs and identifies named entities. Which two Azure AI services should you use?

Accepted Answer

Azure AI Language. Azure AI Document Intelligence (formerly Form Recognizer) is used to extract text from scanned PDFs via OCR, while Azure AI Language provides pre-built named entity recognition (NER) to identify entities like people, organizations, and locations. Together, they form a complete pipeline: Document Intelligence handles the image-to-text conversion, and Language processes the extracted text for entity extraction.

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Azure AI Custom Vision

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Azure AI Translator

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Azure AI Speech

Question 9

You are planning to deploy an Azure AI Content Safety solution. What is the primary requirement for using the service?

Accepted Answer

An active Azure subscription. An active Azure subscription is the primary requirement because Azure AI Content Safety is a cloud-based service that requires a valid subscription for resource provisioning, API access, and billing. Without an Azure subscription, you cannot create the Content Safety resource or authenticate API calls, regardless of other configurations.

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Data must be stored in the same region as the service

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All users must have Microsoft Entra ID P2 licenses

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The application must be written in C#

Question 10

You need to provide a team of developers with access to manage Azure AI resources in a specific resource group. The developers should be able to create, read, update, and delete AI resources, but not manage access control (IAM). Which built-in role should you assign?

Accepted Answer

Contributor. The Contributor role grants full access to manage all resources within a resource group, including creating, reading, updating, and deleting Azure AI resources, but explicitly denies the ability to manage access control (IAM). This matches the requirement exactly, as developers need full resource management without IAM permissions.

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Cognitive Services Contributor

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Owner

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Reader