A software team needs to generate Python functions that parse JSON logs and extract error patterns. They want the model to produce syntactically correct code with minimal prompt engineering, and they need the lowest-latency responses for their interactive developer tool. Which Azure OpenAI model deployment should they choose?

Deploy DALL-E 3 and use it to generate code snippets

Deploy gpt-4o-mini and use it for code generation

Deploy text-embedding-3-large and use it to generate code

Deploy gpt-4o and use it for code generation

A developer is building a chatbot that must answer customer questions and also generate SQL queries from natural language. The developer wants to use a single Azure OpenAI deployment for both tasks. What should the developer do?

Deploy a text-embedding model and use it to generate SQL queries

Deploy two separate DALL-E 3 models, one for chat and one for SQL

Use the Azure AI Language service to generate SQL queries and chat responses

Deploy a gpt-4o model and use system messages to switch between chat and SQL generation modes

A design team wants to generate a series of images with a consistent style. They are using DALL-E 3 in Azure OpenAI. They notice that the images vary in style even with similar prompts. What should they do to improve consistency?

Use a different Azure OpenAI resource for each image

Deploy multiple DALL-E 3 models and alternate between them

Set the temperature parameter to 0 for DALL-E 3

Include detailed style descriptors and specific artistic references in each prompt

A design team wants to generate images for a new product line. They have an Azure OpenAI resource but need to decide between using DALL-E 3 and gpt-4o for image generation. The team needs high-quality images with specific artistic styles. What should they do?

Use gpt-4o-mini because it is faster

Use DALL-E 3 because it is specifically designed for image generation

Use gpt-4o because it is a newer model

Use text-embedding-3-large for image generation

Microsoft Certified:Azure AI Engineer Associate

Domain 2Objective 2

Use Azure OpenAI in Foundry Models to Generate Content AI-102 Practice Questions (Page 7)

Part of the Implement generative AI solutions domain, which accounts for 15-20% of the AI-102 exam. Microsoft does not publish an official question count, but from its 100-minute exam (~40–65 total, ~6–13 in this domain), expect 2–4 from this objective — we provide 49 practice questions to prepare you well beyond it. (estimate)

49questions here

10free pages

8concepts

15-20%of the exam

Questions 31–35

31application · medium
A software team needs to generate Python functions that parse JSON logs and extract error patterns. They want the model to produce syntactically correct code with minimal prompt engineering, and they need the lowest-latency responses for their interactive developer tool. Which Azure OpenAI model deployment should they choose?
Select an answer first
32application · medium
A developer is building a chatbot that must answer customer questions and also generate SQL queries from natural language. The developer wants to use a single Azure OpenAI deployment for both tasks. What should the developer do?
Select an answer first
33expert · hard
A design team wants to generate a series of images with a consistent style. They are using DALL-E 3 in Azure OpenAI. They notice that the images vary in style even with similar prompts. What should they do to improve consistency?
Select an answer first
34expert · medium
A design team wants to generate images for a new product line. They have an Azure OpenAI resource but need to decide between using DALL-E 3 and gpt-4o for image generation. The team needs high-quality images with specific artistic styles. What should they do?
Select an answer first
35foundation · easy
For a task that requires generating images from text descriptions, which Azure OpenAI model should you select?
Select an answer first

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Use Azure OpenAI in Foundry Models to Generate Content AI-102 Practice Questions (Page 7)

Questions 31–35

A developer is building a chatbot that must answer customer questions and also generate SQL queries from natural language. The developer wants to use a single Azure OpenAI deployment for both tasks. What should the developer do?

A design team wants to generate a series of images with a consistent style. They are using DALL-E 3 in Azure OpenAI. They notice that the images vary in style even with similar prompts. What should they do to improve consistency?

A design team wants to generate images for a new product line. They have an Azure OpenAI resource but need to decide between using DALL-E 3 and gpt-4o for image generation. The team needs high-quality images with specific artistic styles. What should they do?

For a task that requires generating images from text descriptions, which Azure OpenAI model should you select?

Keep studying — Implement generative AI solutions