AI-900 Question 280
Select 2A software development team wants to use Azure OpenAI Service to generate boilerplate code for their web application. Which of the following capabilities of Azure OpenAI Service can be leveraged for this purpose?
- A
Generating code snippets based on natural language prompts
- B
Debugging existing application code
- C
Providing recommendations for code optimization during runtime
- D
Creating API endpoint code automatically based on descriptions
- E
Building and deploying the application directly to Azure
Show answer and explanation
Correct answers: A, D
Explanation
Azure OpenAI Service, particularly through models like Codex, is designed to assist developers by generating code snippets and templates based on natural language inputs. This includes creating boilerplate code and even generating API endpoint code from descriptions. However, it does not handle tasks like debugging, runtime optimization, or application deployment, which fall outside its primary functionality.
- A. Correct.
Azure OpenAI Service models, like Codex, can interpret natural language prompts and generate code snippets, making this capability suitable for creating boilerplate code.
- B. Incorrect.
Azure OpenAI Service does not provide debugging features for existing code. Debugging typically involves tools specific to code development environments.
- C. Incorrect.
While Azure OpenAI Service can assist with code generation, it does not actively optimize code during runtime. This is outside its scope.
- D. Correct.
Azure OpenAI Service can generate API endpoint code based on natural language descriptions, which is a key capability for automating parts of development.
- E. Incorrect.
Azure OpenAI Service focuses on AI-driven capabilities like code generation and natural language understanding. It does not handle application deployment or build pipelines.