AI-102 Implement generative AI solutions Practice Test 9 — 15 Questions

Question 1

Your organization is deploying a generative AI chatbot using Azure OpenAI Service. The chatbot must answer questions based on internal documents stored in Azure Blob Storage. You need to implement a retrieval-augmented generation (RAG) solution. Which THREE components are required? (Select THREE.)

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

Accepted Answer

Azure AI Search index. Azure AI Search is the core indexing and retrieval engine in a RAG solution. It ingests documents from Azure Blob Storage, creates a searchable index, and enables vector or hybrid search to retrieve relevant chunks. The chatbot then uses these retrieved chunks as context for the Azure OpenAI model to generate grounded answers.

Answer

Azure Functions for preprocessing

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Azure SQL Database for metadata

Question 2

You are using Azure OpenAI Service to generate code snippets. The output must be safe and free of security vulnerabilities. Which TWO practices should you follow? (Select TWO.)

Accepted Answer

Use Azure AI Content Safety to filter outputs. Azure AI Content Safety is a dedicated service that provides an additional layer of filtering for harmful or inappropriate content, including security vulnerabilities, beyond what the model itself offers. It allows you to define custom severity thresholds and blocklists, ensuring that generated code snippets are safe before they reach the user. This is a recommended practice for production deployments to mitigate risks like injection attacks or exposure of sensitive patterns.

Answer

Increase the temperature parameter to encourage diversity

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Rely on the model's built-in safety features

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Fine-tune the model with a dataset of secure code examples

Question 3

You run the Azure CLI command shown in the exhibit to create an online endpoint for a generative AI model. The deployment fails because the selected VM instance type is not available in the East US region. Which action should you take to resolve the issue?

Accepted Answer

Specify a different VM type or region that supports Standard_NC6s_v3. The deployment failed because the Standard_NC6s_v3 VM instance type is not available in the East US region. The correct action is to either choose a different VM type that is available in East US or deploy to a different region that supports Standard_NC6s_v3. This directly addresses the root cause of the failure, as Azure Machine Learning online endpoints require the selected VM SKU to be available in the target region.

Answer

Increase the instance count to 2

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Use a batch endpoint instead of online endpoint

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Change --compute-type to CPU

Question 4

You are testing an Azure OpenAI model with the parameters shown in the exhibit. The model generates very short responses. Which parameter should you modify to allow longer responses?

Accepted Answer

Increase max_tokens. The max_tokens parameter controls the maximum number of tokens (words or subwords) the model can generate in a single response. When responses are very short, increasing max_tokens allows the model to produce longer completions up to the specified limit. The other parameters affect randomness, diversity, or probability distribution, not the length cap.

Answer

Increase frequency_penalty

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Increase top_p

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Increase temperature

Question 5

You are developing a customer support chatbot using Azure OpenAI Service. The chatbot must only answer questions related to the company's product catalog and policies. You want to minimize the risk of the chatbot generating harmful or off-topic responses. Which approach should you use?

Accepted Answer

Use a system message that instructs the model to only answer product-related questions.. A system message sets the foundational behavior of the model by providing high-level instructions that guide all subsequent responses. By explicitly instructing the model to only answer product-related questions, you establish a clear boundary that minimizes off-topic or harmful outputs. This approach leverages the model's instruction-following capability, which is more effective than parameter tuning alone for content restriction.

Answer

Set the max_tokens parameter to 100.

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Set the temperature parameter to 0.

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Set the top_p parameter to 0.1.

Question 6

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?

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

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Prebuilt receipt model

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Prebuilt layout model

Question 7

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 8

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 9

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 10

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 11

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.

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Groundedness detection.

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Prompt injection detection.

Question 12

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 13

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 14

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 15

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.