AI-102 Implement generative AI solutions Practice Test 7 — 15 Questions

Question 1

You are designing a solution that uses Azure AI Document Intelligence to extract data from invoices. The solution must classify invoices by vendor and extract line items. Which prebuilt model should you use?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Prebuilt invoice model. The Prebuilt invoice model (Option A) is specifically designed to extract common fields from invoices, including vendor details and line items, without requiring custom training. This model is optimized for invoice documents and provides out-of-the-box extraction of structured data such as vendor name, invoice date, and line-item descriptions, quantities, and amounts.

Answer

Custom extraction model

Answer

Prebuilt receipt model

Answer

Prebuilt layout model

Question 2

Your company uses Microsoft 365 Copilot to generate meeting summaries. Some users report that summaries include information from meetings they did not attend. What is the most likely cause?

Accepted Answer

Users have access to meeting artifacts via shared calendars or transcripts.. Microsoft 365 Copilot generates meeting summaries by aggregating content from meeting artifacts such as transcripts, recordings, and shared calendars. If a user has access to a meeting's transcript or recording (e.g., via a shared calendar or because the meeting was recorded and stored in a location the user can access), Copilot can include that meeting's information in summaries even if the user did not attend. This behavior is by design, as Copilot respects existing permissions on the underlying data.

Answer

The meeting organizer granted everyone in the organization view access.

Answer

Copilot is using Bing search results to augment summaries.

Answer

Copilot is incorrectly configured to ignore meeting permissions.

Question 3

You are deploying an Azure OpenAI model for a healthcare application. You need to ensure that the model does not generate medical advice and that all responses include a disclaimer. Which configuration should you use?

Accepted Answer

Configure a system message with instructions and enable content filtering.. Configuring a system message with explicit instructions (e.g., 'Do not provide medical advice; always include a disclaimer') combined with Azure AI Content Safety's content filtering allows you to enforce behavioral guardrails and block harmful outputs at the application layer. The system message sets the model's behavior, while content filtering provides a secondary safety net to catch policy violations, ensuring compliance in a regulated healthcare environment.

Answer

Ground the model with your own medical documents.

Answer

Set max_tokens to 50 to limit response length.

Answer

Use Azure AI Content Safety to filter medical terms.

Question 4

You are building a generative AI solution using Azure OpenAI Service. You want to deploy the model to a specific Azure region to minimize latency for users in Europe. Which deployment parameter must you set?

Accepted Answer

The Azure region of the Azure OpenAI resource.. The Azure region of the Azure OpenAI resource directly determines the physical data center location where the model is deployed. By selecting a region in or near Europe (e.g., France Central, Sweden Central, UK South), you minimize network round-trip latency for European users. The region is set at the resource creation level and cannot be changed after deployment.

Answer

The model version (e.g., 0613).

Answer

The temperature parameter.

Answer

The deployment name.

Question 5

Your organization uses Microsoft 365 Copilot. You want to ensure that Copilot only uses data from your Microsoft 365 tenant and does not access external sources. Which setting should you configure?

Accepted Answer

Configure Copilot to use only Microsoft Graph data.. Configuring Copilot to use only Microsoft Graph data ensures that the AI model retrieves content exclusively from your Microsoft 365 tenant (e.g., emails, documents, calendar events) via Microsoft Graph APIs. This setting explicitly restricts Copilot from querying external sources like the public web or third-party services, aligning with the requirement to keep data within the tenant boundary. Option D is incorrect because disabling Bing search integration only prevents web search queries, but does not block other external data sources such as third-party connectors or public Microsoft Graph endpoints. To fully restrict Copilot to tenant data, you must configure the Microsoft Graph-only setting.

Answer

Disable 'Allow Copilot to use external data' in the Copilot settings.

Answer

Enable content filtering for Copilot.

Answer

Disable the Bing search integration in the Microsoft 365 admin center.

Question 6

Which TWO actions can you take to reduce the cost of using Azure OpenAI Service for a chat application?

Accepted Answer

Set the max_tokens parameter to a lower value.. Reducing the max_tokens parameter directly limits the number of tokens generated per API call, which lowers the cost since Azure OpenAI Service bills per token (both input and output). By capping the response length, you avoid paying for unnecessarily long completions.

Answer

Increase the frequency penalty.

Answer

Enable content filtering.

Answer

Increase the max_tokens parameter to allow longer responses.

Question 7

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.

Answer

A fine-tuned custom model.

Answer

An Azure OpenAI embeddings model deployment.

Question 8

Which TWO features of Azure AI Content Safety can help you moderate user-generated content in a social media application?

Accepted Answer

Self-harm content detection.. Self-harm content detection (A) is a feature of Azure AI Content Safety that specifically identifies text or images related to self-harm, which is a critical category for moderating user-generated content in social media to prevent harm and comply with safety policies. Hate speech severity detection (B) is another core feature that classifies hate speech into severity levels (e.g., low, medium, high), enabling nuanced moderation of offensive content.

Answer

PII redaction.

Answer

Groundedness detection.

Answer

Prompt injection detection.

Question 9

Which THREE are valid parameters when calling the Azure OpenAI Service chat completions API?

Accepted Answer

messages. The `messages` parameter is required in the Azure OpenAI Service chat completions API call. It defines the conversation history and user input as an array of message objects, each with a `role` (system, user, assistant) and `content`. Without this parameter, the API cannot determine the context or prompt for generating a response.

Answer

index_name

Answer

embedding_model

Question 10

Refer to the exhibit. You are troubleshooting an Azure OpenAI API call that is returning incomplete responses. The response stops mid-sentence. Which parameter should you adjust?

Accepted Answer

Increase max_tokens to 1000.. The `max_tokens` parameter controls the maximum number of tokens the model can generate in a single response. When a response stops mid-sentence, it typically means the token limit was reached before the model could complete its output. Increasing `max_tokens` to 1000 provides more room for the model to finish its generation, resolving the truncation issue.

Answer

Remove the stop parameter.

Answer

Increase temperature to 1.0.

Answer

Increase top_p to 1.0.

Question 11

Refer to the exhibit. You are using Microsoft Graph to retrieve user information for use in a Microsoft 365 Copilot extension. The response shows that the mail and mobilePhone fields are null. What is the most likely reason?

Accepted Answer

The user has not configured those properties in their Microsoft Entra ID profile.. The mail and mobilePhone fields are null because the user has not populated these attributes in their Microsoft Entra ID (formerly Azure AD) profile. Microsoft Graph returns the actual stored values for these properties; if they are empty or unset, the API response will show null. This is the most common and straightforward reason for null values in user profile fields.

Answer

The API call required additional permissions.

Answer

The user is a guest user.

Answer

The user does not exist in the tenant.

Question 12

Refer to the exhibit. You are deploying an Azure AI Services resource using an ARM template. After deployment, you cannot access the resource from any client, including the Azure portal. What is the most likely cause?

Accepted Answer

The networkAcls defaultAction is set to Deny with no allowed IP or virtual network rules.. The networkAcls defaultAction set to Deny with no allowed IP or virtual network rules blocks all traffic to the Azure AI Services resource, including requests from the Azure portal and any client. This is because the default network access control list (ACL) denies all traffic unless explicitly permitted by IP rules or virtual network rules, rendering the resource inaccessible even for management operations.

Answer

The SKU S0 does not support network restrictions.

Answer

The cognitiveServiceName conflicts with an existing resource.

Answer

The virtualNetworkRules array is empty.

Question 13

Refer to the exhibit. You are configuring a system message for an Azure OpenAI deployment. The assistant is still generating harmful code despite the instruction. Which additional measure should you implement?

Accepted Answer

Enable Azure AI Content Safety with a custom blocklist for harmful code.. Azure AI Content Safety provides a dedicated content filtering layer that can block harmful code generation at the inference level, regardless of the system message. A custom blocklist allows you to define specific patterns (e.g., code snippets for malware) that the model is prohibited from outputting, enforcing safety beyond prompt instructions.

Answer

Fine-tune the model on safe code examples.

Answer

Lower the temperature parameter to 0.

Answer

Add more examples to the prompt.

Question 14

Your organization is building a chatbot using Azure OpenAI Service. The chatbot must provide citations from a set of internal documents stored in Azure Blob Storage. You need to configure the solution to minimize token usage while ensuring citations are accurate. Which approach should you use?

Accepted Answer

Use Azure OpenAI on your data with Azure Cognitive Search for hybrid retrieval. Azure OpenAI on your data with Azure Cognitive Search for hybrid retrieval combines vector search and keyword search to efficiently find relevant document chunks from Azure Blob Storage, minimizing token usage by only sending the most pertinent content to the model for citation generation. This approach ensures accurate citations without embedding all documents into the prompt or relying on model memory.

Answer

Embed all document content into the system prompt

Answer

Fine-tune a model on the documents so it can recall them from memory

Answer

Use a large context window model (e.g., 32K) and include all documents in the prompt

Question 15

You are deploying a conversational AI solution using Microsoft Copilot Studio. The solution must comply with organizational data loss prevention (DLP) policies by preventing sensitive data from being sent to the underlying Azure OpenAI model. What should you configure?

Accepted Answer

Define DLP policies in Microsoft 365 compliance center and apply to Copilot Studio. Microsoft Copilot Studio integrates with Microsoft 365 DLP policies to prevent sensitive data from being sent to the underlying Azure OpenAI model. By defining DLP policies in the Microsoft 365 compliance center and applying them to Copilot Studio, you can enforce data loss prevention rules that block or restrict the transmission of sensitive information (e.g., credit card numbers, social security numbers) to the generative AI backend. This ensures compliance with organizational security requirements without modifying the AI model itself.

Answer

Configure content filters in Azure OpenAI Studio

Answer

Enable Azure AI Content Safety in the bot's generative AI configuration

Answer

Set the temperature parameter to 0 to reduce variability