5.2 Describe the AI Capabilities for Code Generation and Rapid Prototyping AI-TECHNICAL-PRACTITIONER Practice Questions (Page 3)

Questions 11–15

1. 11expert · hard

   A senior developer is using an AI code generation tool to create a module that will be part of a critical network automation system. The developer has a strict requirement that the module must be highly reliable and maintainable. The AI generates a solution that is concise and works in testing. What is the most appropriate course of action?

   • AIntegrate the code as-is, since it passed initial testing and is concise.
   • BAsk the AI to generate the code again, hoping for a better result.
   • CRewrite the module from scratch, ignoring the AI's output.
   • DReview the generated code for clarity, add comprehensive error handling, and write unit tests before integrating it.
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2. 12foundation · easy

   In the context of rapid prototyping, what is the main advantage of using AI to generate code?

   • AIt eliminates the need for a development environment.
   • BIt ensures the prototype will be accepted by end users.
   • CIt reduces the time needed to create a functional prototype.
   • DIt guarantees that the prototype will be bug-free.
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4. 13foundation · easy

   What is a primary benefit of using AI to generate entire modules from natural language descriptions?

   • AIt speeds up the initial implementation of a feature by providing a starting point.
   • BIt eliminates the need for developers to understand the codebase.
   • CIt ensures the generated module is fully optimized for performance.
   • DIt removes the need for testing because the AI has already verified the code.
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5. 14expert · hard

   A development team is adopting an AI code generation tool to increase productivity. They are concerned about the security of the generated code. Which policy is most effective in mitigating the security risks associated with AI-generated code?

   • AProhibit the use of AI code generation tools for any security-related components.
   • BRequire that a senior developer personally writes all security-critical code.
   • CRely on the AI tool's built-in security features to ensure the code is safe.
   • DMandate that all AI-generated code undergoes the same security review and testing process as human-written code.
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6. 15foundation · easy

   Which of the following is a common use case for AI code generation in development workflows?

   • AManaging cloud infrastructure without human input.
   • BAutomatically fixing all runtime errors in production.
   • CReplacing the need for code reviews.
   • DGenerating boilerplate code for repetitive structures.
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