5.5 Explain How AI Improves Code Quality (debugging Assistance, Error Handling, Documentation) AI-TECHNICAL-PRACTITIONER Practice Questions (Page 4)

Questions 16–20

1. 16application · medium

   An AI tool reviews a codebase and suggests adding specific exception types to a broad except block. What is the AI primarily improving?

   • ADocumentation by explaining each exception
   • BError handling precision and reducing unintended catches
   • CDebugging efficiency by logging more errors
   • DCode performance by reducing exception overhead
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   A developer is debugging a function that intermittently throws a KeyError only in production. The AI assistant suggests adding a try/except block and logging the missing key. What is the primary benefit of this AI suggestion?

   • AIt provides visibility into the root cause by logging the missing key.
   • BIt automatically fixes the root cause by adding a default value.
   • CIt prevents the KeyError from ever occurring by validating input.
   • DIt eliminates the need for further debugging by catching all exceptions.
   Reveal Solution Discussion Select an answer first
4. 18expert · hard

   A developer uses an AI tool to generate documentation for a public API. The tool produces comprehensive docs, but the developer is concerned about the accuracy of the examples. What is the best way to ensure the examples are correct?

   • ARemove all examples from the documentation.
   • BRun the examples against the actual API to verify them.
   • CTrust the AI because it analyzed the code.
   • DAsk the AI to generate more examples.
   Reveal Solution Discussion Select an answer first
5. 19expert · hard

   An AI tool suggests adding custom exception classes for different error scenarios in a large codebase. What is the primary trade-off the team should consider?

   • AEasier debugging vs. more frequent errors
   • BImproved error handling clarity vs. increased code complexity
   • CBetter documentation vs. slower runtime
   • DSimpler code vs. less maintainability
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6. 20foundation · easy

   How can an AI debugging assistant help a developer fix a bug?

   • ABy deleting the lines of code that contain the error
   • BBy preventing the error from occurring in the first place
   • CBy suggesting a code change based on the identified error pattern
   • DBy automatically rewriting the entire application in a different language
   Reveal Solution Discussion Select an answer first