AI-102 Implement generative AI solutions Practice Test 4 — 15 Questions

Question 1

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.

Answer

Codex

Answer

GPT-4

Answer

Whisper

Question 2

Refer to the exhibit. An administrator runs this Azure CLI command to deploy a GPT-4 model in Azure AI Foundry. The command fails with an error that the deployment name already exists. What should the administrator do to resolve the issue?

Accepted Answer

Use a different deployment name or delete the existing deployment.. The error message indicates that a deployment with the same name already exists in the Azure AI Foundry workspace. In Azure AI Foundry, deployment names must be unique within a workspace. The correct resolution is to either choose a different deployment name or delete the existing deployment before re-running the command. This aligns with the Azure CLI behavior where resource names (including AI model deployments) must be unique per scope.

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Specify a different resource group.

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Remove the --sku-name parameter.

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Use a different model version.

Question 3

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.. 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.

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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 4

You need to generate a summary of a long article using Azure OpenAI. The article is 10,000 tokens long. What should you do to fit the article within the model's context window?

Accepted Answer

Split the article into smaller sections and summarize each section separately.. The article exceeds the model's context window (typically 4096 or 8192 tokens for GPT-3.5/4). Splitting the article into smaller sections and summarizing each separately allows you to process the entire content within the token limits, then combine the summaries for a final coherent output. This is a standard chunking strategy for long documents when using Azure OpenAI.

Answer

Increase the temperature parameter.

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Use a model with a smaller context window.

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Set max_tokens to a lower value.

Question 5

A developer uses the Azure OpenAI API to generate code. They want to ensure that the generated code is in Python. Which parameter should they set?

Accepted Answer

system message. The system message is used to set the behavior and context of the AI model, including specifying the desired output format or language. By setting the system message to 'You are a helpful assistant that always writes code in Python', the developer can instruct the model to generate Python code consistently. This parameter is part of the chat completions API and directly influences the model's persona and constraints.

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temperature

Answer

top_p

Answer

max_tokens

Question 6

You are building a generative AI solution using Azure AI Foundry. The solution must meet compliance requirements that require all model inputs and outputs to be auditable for a minimum of one year. What should you enable?

Accepted Answer

Diagnostic settings to capture request and response logs and store them in a storage account.. Enabling diagnostic settings for the Azure AI Foundry resource allows you to capture detailed request and response logs for all model interactions. By routing these logs to a storage account, you retain the data for the required one-year audit period, meeting compliance needs for full traceability of inputs and outputs.

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Azure Monitor alerts for unusual activity.

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Azure Monitor metrics for the Azure AI Foundry resource.

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Azure Monitor workbooks to visualize usage.

Question 7

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. 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.

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temperature

Answer

system message

Answer

max_tokens

Question 8

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 B) is the correct strategy because it directly controls style and tone by providing examples of desired output within the prompt. This leverages the model's in-context learning ability without modifying the underlying model weights, making it ideal for enforcing consistency without the cost and complexity of fine-tuning.

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

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Set max_tokens to a small value to limit output length.

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Increase the temperature to 1.0 for more creativity.

Question 9

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.. 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.

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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 10

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 is the correct parameter to influence the tone of the generated poem because it sets the initial context, persona, and behavioral guidelines for the model. By including an instruction like 'You are a cheerful poet who writes about nature in a happy tone,' you directly control the style and emotional quality of the output, which is exactly what the question requires.

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max_tokens

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top_p

Answer

temperature

Question 11

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 correct model because it is specifically designed by OpenAI for generating images from text descriptions. Azure OpenAI Service hosts DALL-E, enabling you to create images like 'a cat wearing a hat' by providing a natural language prompt. Other models like Whisper, GPT-4, and Codex are optimized for speech recognition, text generation, and code generation respectively, not image synthesis.

Answer

Whisper

Answer

GPT-4

Answer

Codex

Question 12

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.. Opting out of abuse monitoring and data logging in Azure OpenAI Studio ensures that sensitive customer data is not sent to Microsoft for review or used to improve the base model. This configuration is specifically designed for customers who need to process sensitive data while maintaining data residency within their Azure tenant, as it disables the default logging and human review processes that could expose data outside the tenant.

Answer

Enable customer-managed keys for encryption.

Answer

Use a private endpoint to restrict access to the service.

Answer

Configure data residency to keep data in a specific region.

Question 13

A developer uses the Azure OpenAI API to generate code. They want to ensure that the generated code is in Python. Which parameter should they set?

Accepted Answer

system message. The system message parameter in the Azure OpenAI API is used to set the behavior and context of the assistant, including specifying the desired output format or language. By setting the system message to something like 'You are a helpful assistant that always generates Python code,' the developer can instruct the model to produce Python code consistently. This is the correct parameter for guiding the model's response style and content.

Answer

temperature

Answer

max_tokens

Answer

top_p

Question 14

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. To specify the target language in an Azure OpenAI translation prompt, you include the instruction within the user message (e.g., 'Translate the following English text to Spanish: ...'). The user message is the primary input where the model receives the task and context, making it the correct parameter for language specification.

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max_tokens

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temperature

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system message

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.

Answer

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

Answer

Increase the temperature to 1.0 for more creativity.