AI Best Practices XK0-006 Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   A DevOps engineer is using an AI assistant to generate an Ansible playbook that deploys a web server. The first attempt produced a playbook that installs the wrong package name for the target distribution. The engineer needs a more accurate result. Which prompt revision is MOST likely to improve the output?

   • ATell the AI to 'use the correct package name' without specifying the OS.
   • BRequest the playbook in YAML format with no other changes.
   • CAdd the target OS and version to the prompt, e.g., 'Generate an Ansible playbook for Ubuntu 22.04 that installs nginx and starts the service.'
   • DAsk the AI to 'write a better playbook' without additional details.
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2. 12application · medium

   A team is using an AI to generate code for a data-processing pipeline. They notice that the AI's suggestions consistently fail when processing data from a specific demographic group. The team suspects the AI has a bias. What is the BEST way to address this?

   • AUse the AI's output but add a disclaimer that it may not work for all groups.
   • BInclude representative data samples from the affected group in the prompt and ask the AI to test its logic against them.
   • CAssume the AI is correct and modify the data to fit the AI's assumptions.
   • DStop using the AI tool and write all code manually.
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4. 13foundation · easy

   A developer uses an AI code-generation tool to produce a script that will be deployed in a production environment. Which action best aligns with responsible code generation practices?

   • AReview the generated code for correctness, security, and licensing before integration.
   • BDeploy the generated code immediately to meet the sprint deadline.
   • CUse the generated code only if it compiles without errors.
   • DAvoid using AI-generated code in production under any circumstances.
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5. 14application · medium

   A team is using an AI to generate code for a system that recommends training courses to employees. They discover that the AI's recommendations are biased against employees from certain departments. What is the BEST way to mitigate this bias?

   • AUse a different AI tool that is known for being unbiased.
   • BAdd a disclaimer to the recommendations that they may be biased.
   • CReview the training data used to train the AI and ensure it includes a balanced representation of all departments.
   • DManually override the AI's recommendations for employees from the affected departments.
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6. 15application · medium

   An AI assistant generated a Python script that uses `subprocess.call` with `shell=True` to run a system command. The script is intended for a production server. What should the reviewer do?

   • ARewrite the script to use `subprocess.run` with a list of arguments and `shell=False`.
   • BChange `shell=True` to `shell=False` without modifying the command string.
   • CAdd a comment to the script warning future users about the `shell=True` usage.
   • DApprove the script because it works in the test environment.
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