AI-102 Question 450
Select 3You are designing a solution using Azure OpenAI Service to generate Python code snippets based on user prompts. The code must adhere to specific formatting standards and include comments explaining the functionality. Which steps should you take to ensure the solution meets these requirements?
- A
Use the Azure OpenAI GPT model and include formatting instructions within the user prompt.
- B
Preprocess the user prompt to ensure it follows a defined structure before sending it to the Azure OpenAI model.
- C
Deploy the model using Azure Functions to automatically validate and reformat the generated code.
- D
Utilize the 'temperature' parameter to control response randomness and ensure consistent code output.
- E
Leverage the Codex model in Azure OpenAI Service, as it is specifically trained for code generation.
Show answer and explanation
Correct answers: A, B, E
Explanation
To ensure the solution generates Python code adhering to formatting standards and includes comments, you need to guide the Azure OpenAI model effectively. This includes providing clear formatting instructions in the prompt, using the Codex model designed for code generation, and preprocessing user inputs to define the structure. These steps help ensure the model delivers accurate and properly formatted Python code.
- A. Correct.
Including formatting instructions in the user prompt ensures the model generates code that adheres to specific requirements, such as adding comments and maintaining proper structure.
- B. Correct.
Preprocessing the user prompt to define structure helps guide the model to produce more accurate and relevant responses.
- C. Incorrect.
While Azure Functions can automate workflows, it is not designed to validate or reformat code generated by Azure OpenAI Service.
- D. Incorrect.
The 'temperature' parameter controls randomness in responses but does not directly ensure code meets specific formatting or commenting standards.
- E. Correct.
The Codex model is optimized for code generation tasks, making it suitable for generating Python code with built-in understanding of programming concepts.