AI-102 Practice Test 15 — 15 Questions

Question 1

A company is developing a generative AI solution that must process sensitive customer data. They need to ensure that data remains within their Azure tenant and is not used to improve the base model. Which configuration is required in Azure OpenAI?

Accepted Answer

Opt out of abuse monitoring and data logging in the Azure OpenAI Studio.. Option C is correct because Azure OpenAI provides a data privacy setting that allows customers to opt out of abuse monitoring and data logging. When enabled, this ensures that prompts, completions, and any associated data are not stored or used by Microsoft to improve the base model, and all data remains within the customer's Azure tenant. This is the specific configuration required to meet the stated data residency and non-improvement requirements.

Answer

Enable customer-managed keys for encryption.

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Use a private endpoint to restrict access to the service.

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Configure data residency to keep data in a specific region.

Question 2

A company uses Azure OpenAI to generate marketing copy. They want to ensure that the generated content does not contain offensive language. Which feature should they enable?

Accepted Answer

Enable content filtering at the deployment level.. Option D is correct because Azure OpenAI provides built-in content filtering at the deployment level that automatically detects and blocks offensive or harmful language in both input prompts and generated outputs. This feature uses Microsoft's Responsible AI models to enforce safety policies without requiring custom code or manual review, making it the most reliable and scalable solution for preventing offensive content in marketing copy.

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Use DALL-E to generate images instead of text.

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Use a system message instructing the model to avoid offensive language.

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Enable diagnostic logging to review all outputs.

Question 3

You need to generate a poem using Azure OpenAI. The poem should be about nature and have a cheerful tone. Which parameter should you adjust to influence the tone?

Accepted Answer

system message. The system message (D) is the correct parameter to influence the tone of a generated poem because it acts as a high-level instruction that sets the behavior, persona, and style of the model. By including a directive like 'You are a cheerful poet writing about nature,' you directly control the tone without altering randomness or output length.

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top_p

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temperature

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max_tokens

Question 4

You need to translate a document from English to Spanish using Azure OpenAI. Which parameter should you include in the prompt to specify the target language?

Accepted Answer

user message. Option D is correct because in Azure OpenAI, the user message is where you provide the instruction or context for the model, including specifying the target language for translation. By including 'Translate the following English text to Spanish' in the user message, you direct the model to perform the language translation task. The other parameters control generation behavior (temperature, max_tokens) or set the model's persona (system message), but do not specify the target language.

Answer

temperature

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system message

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max_tokens

Question 5

You need to generate an image of a cat wearing a hat using Azure OpenAI. Which model should you use?

Accepted Answer

DALL-E. DALL-E is the Azure OpenAI model specifically designed for generating images from natural language descriptions. It uses a diffusion-based architecture to create high-quality, original images based on text prompts, making it the correct choice for generating an image of a cat wearing a hat.

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Codex

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GPT-4

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Whisper

Question 6

A company uses Azure OpenAI Service to generate product descriptions. They notice that the descriptions sometimes contain factually incorrect information. Which strategy should they use to reduce hallucinations?

Accepted Answer

Implement Retrieval-Augmented Generation (RAG) by grounding prompts with a knowledge base.. Option B is correct because Retrieval-Augmented Generation (RAG) grounds the model's output in a trusted, external knowledge base, providing factual context that directly reduces hallucinations. By retrieving relevant documents and injecting them into the prompt, the model generates responses based on verified information rather than relying solely on its parametric memory, which is the primary cause of factual inaccuracies in Azure OpenAI Service.

Answer

Increase the temperature parameter to 1.0.

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Reduce the max_tokens parameter to limit output length.

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Add a system message instructing the model to be more careful.

Question 7

You are deploying a generative AI model using Azure AI Foundry. The model must be accessible only from a specific virtual network. Additionally, you need to monitor all API calls for auditing. Which two configurations are required? (Choose two.)

Accepted Answer

Enable diagnostic settings to send logs to a Log Analytics workspace.. Option A is correct because enabling diagnostic settings to send logs to a Log Analytics workspace captures all API call details (e.g., request URI, response status, caller IP) for auditing and monitoring. This is the standard Azure method for collecting resource-level logs, and it works with Azure AI Foundry deployments to meet compliance and security requirements.

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Assign a managed identity to the model deployment.

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Enable public network access from selected IP addresses.

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Configure CORS to allow only the VNet's domain.

Question 8

Refer to the exhibit. A developer runs this PowerShell script to call Azure OpenAI. The script fails with an authentication error. What is the most likely cause?

Accepted Answer

The script uses the wrong HTTP header; it should use 'api-key' instead of 'Authorization: Bearer'.. The script uses 'Authorization: Bearer' header, but Azure OpenAI requires the API key to be passed in the 'api-key' header. The 'Authorization: Bearer' header is used for Azure AD token-based authentication, not for direct API key authentication. Since the script is using an API key (as indicated by the PowerShell script), the correct header is 'api-key'.

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The script uses the wrong HTTP method; it should use GET.

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The API version is incorrect.

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The endpoint URI is missing the resource name.

Question 9

You are deploying a generative AI application using Azure OpenAI Service. The application must generate responses in multiple languages while maintaining high accuracy. You need to minimize token usage. Which approach should you recommend?

Accepted Answer

Use a base model with a system message to output in the desired language. Using a base model with a system message instructing multilingual output is efficient because the base model already supports multiple languages and the system message guides behavior without fine-tuning. Option A is wrong because fine-tuning for each language is costly and not necessary. Option B is wrong because using separate deployments increases cost and complexity. Option D is wrong because pre-processing input into English may lose nuances.

Answer

Translate all input to English and then translate output back

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Fine-tune a model for each target language

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Use a separate deployment for each language

Question 10

You are using Azure OpenAI Service to summarize customer emails. The summaries must be concise and contain only key information. Which prompt engineering technique should you apply?

Accepted Answer

Use few-shot prompting with examples of desired summaries. Few-shot prompting is the correct technique because it provides the model with explicit examples of desired input-output pairs (e.g., a verbose email and its concise summary). This guides the model to learn the exact format, tone, and level of detail required for the summaries, which is critical for consistency in a production summarization pipeline. Without examples, the model may default to its training distribution and produce overly verbose or irrelevant output.

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Use chain-of-thought prompting

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Use zero-shot prompting with a one-sentence instruction

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Use negative prompting to avoid verbose output

Question 11

You are building a generative AI solution using Azure OpenAI Service. The application must retrieve information from a large private knowledge base. You need to ensure the model uses only relevant documents from the knowledge base to generate answers. Which feature should you configure?

Accepted Answer

Use Azure OpenAI On Your Data with vector search. B is correct because Azure OpenAI On Your Data with vector search enables the model to retrieve only the most semantically relevant documents from a private knowledge base by converting both the user query and the documents into high-dimensional vectors and performing similarity search. This ensures the model's responses are grounded in the specific, relevant information without exposing the entire knowledge base to the model.

Answer

Implement a custom prompt flow

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Configure a content filter

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Fine-tune the model with the knowledge base

Question 12

You are developing a solution that uses Azure OpenAI to generate customer support responses. You want to prevent the model from repeating the same phrases. Which parameter should you adjust?

Accepted Answer

frequency_penalty. The frequency_penalty parameter (option D) is correct because it directly reduces the likelihood of the model repeating the same phrases by penalizing tokens that have already appeared in the generated text. A higher frequency_penalty value (e.g., 0.5 to 1.0) decreases the probability of reusing tokens, making the output more diverse and less repetitive. This is specifically designed to address repetition in generative AI responses.

Answer

top_p

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presence_penalty

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temperature

Question 13

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.. Option C is correct because 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.

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Enable content filtering.

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Increase the max_tokens parameter to allow longer responses.

Question 14

You are deploying a generative AI model using Azure AI Foundry. The model must be accessible only from within a specific virtual network. Additionally, you need to monitor all API calls for auditing. Which two configurations are required? (Choose two.)

Accepted Answer

Enable diagnostic settings to send logs to a Log Analytics workspace.. Option D is correct because enabling diagnostic settings to send logs to a Log Analytics workspace allows you to capture and audit all API calls made to the model deployment. This is essential for monitoring, security auditing, and compliance, as it records detailed telemetry such as request timestamps, caller IPs, and operation names. Option E is correct because disabling public network access and configuring a private endpoint ensures that the model is only accessible from within the specified virtual network, meeting the isolation requirement.

Answer

Assign a managed identity to the model deployment.

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Configure CORS to allow only the VNet's domain.

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Enable public network access from selected IP addresses.

Question 15

A company uses Azure OpenAI to generate product descriptions. They want to ensure that the descriptions are consistent in style and tone. Which strategy should they use?

Accepted Answer

Provide a few examples of desired style in the prompt (few-shot learning).. Few-shot learning (option A) is the correct strategy because it directly addresses the need for consistent style and tone by providing the model with explicit examples of the desired output within the prompt. This guides the model to mimic the given patterns without altering the base model's weights, making it a quick and effective method for controlling output style in Azure OpenAI.

Answer

Set max_tokens to a small value to limit output length.

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Fine-tune the model on a dataset of product descriptions.

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Increase the temperature to 1.0 for more creativity.