CompTIA Linux+ XK0-006 (V8) Practice Question

You asked a large-language model to generate a Kubernetes Deployment manifest for an intranet web service. The first response works, but it uses the deprecated extensions/v1beta1 API version and does not set any CPU or memory limits. According to prompt-engineering best practices referenced in the Linux+ objective on AI, which follow-up prompt is most likely to guide the model toward a corrected, production-ready manifest with the least trial-and-error?

  • "Reset this conversation and give me a fresh Kubernetes Deployment manifest instead."

  • "Fix anything wrong in the manifest you just wrote."

  • "Please update your previous manifest by replacing extensions/v1beta1 with apps/v1 and adding reasonable CPU and memory limits to every container, then return the complete YAML."

  • "Regenerate the manifest and make it fully production-ready."

CompTIA Linux+ XK0-006 (V8)
Automation, Orchestration, and Scripting
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