Catching dev/prod drift with an LLM environment parity audit

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ai-coding-LLM-environment-parity-checks-creators

1. What is the core idea behind "Catching dev/prod drift with an LLM environment parity audit"?

   1. Use Claude or GPT to diff dev and prod configs before they bite you in an incident.
   2. Read each AI code line out loud and say what it does 🗣️
   3. Suggest index additions, query rewrites, and schema changes
   4. Distinguish a symptom from a root cause without verification

2. Which term best describes a foundational idea in "Catching dev/prod drift with an LLM environment parity audit"?

   1. configuration drift
   2. environment parity
   3. audit
   4. Read each AI code line out loud and say what it does 🗣️

3. A learner studying Catching dev/prod drift with an LLM environment parity audit would need to understand which concept?

   1. environment parity
   2. audit
   3. configuration drift
   4. Read each AI code line out loud and say what it does 🗣️

4. Which of these is directly relevant to Catching dev/prod drift with an LLM environment parity audit?

   1. environment parity
   2. configuration drift
   3. Read each AI code line out loud and say what it does 🗣️
   4. audit

5. Which of the following is a key point about Catching dev/prod drift with an LLM environment parity audit?

   1. Diff dev/staging/prod env files and flag suspicious deltas
   2. Group differences by category: secrets, feature flags, infra
   3. Read each AI code line out loud and say what it does 🗣️
   4. Suggest index additions, query rewrites, and schema changes

6. What is one important takeaway from studying Catching dev/prod drift with an LLM environment parity audit?

   1. Apply the fix without human review
   2. Tell you which delta was intentional
   3. Read each AI code line out loud and say what it does 🗣️
   4. Suggest index additions, query rewrites, and schema changes

7. What is the key insight about "Three-way diff prompt" in the context of Catching dev/prod drift with an LLM environment parity audit?

   1. Read each AI code line out loud and say what it does 🗣️
   2. Suggest index additions, query rewrites, and schema changes
   3. Paste sanitized dev/staging/prod env into Claude with: 'Identify keys present in only one environment, value shape misma…
   4. Distinguish a symptom from a root cause without verification

8. What is the key insight about "Never paste real secrets" in the context of Catching dev/prod drift with an LLM environment parity audit?

   1. Read each AI code line out loud and say what it does 🗣️
   2. Suggest index additions, query rewrites, and schema changes
   3. Distinguish a symptom from a root cause without verification
   4. Sanitize values before pasting — use placeholders like <REDACTED-DB-URL> or run the audit locally with a self-hosted mod…

9. Which statement accurately describes an aspect of Catching dev/prod drift with an LLM environment parity audit?

   1. Most 'works on my machine' bugs are config drift the LLM can spot in seconds if you feed it both sides.
   2. Read each AI code line out loud and say what it does 🗣️
   3. Suggest index additions, query rewrites, and schema changes
   4. Distinguish a symptom from a root cause without verification

10. Which best describes the scope of "Catching dev/prod drift with an LLM environment parity audit"?

    1. It is unrelated to ai-coding workflows
    2. It focuses on Use Claude or GPT to diff dev and prod configs before they bite you in an incident.
    3. It applies only to the opposite beginner tier
    4. It was deprecated in 2024 and no longer relevant

11. Which section heading best belongs in a lesson about Catching dev/prod drift with an LLM environment parity audit?

    1. Read each AI code line out loud and say what it does 🗣️
    2. Suggest index additions, query rewrites, and schema changes
    3. What AI does well here
    4. Distinguish a symptom from a root cause without verification

12. Which section heading best belongs in a lesson about Catching dev/prod drift with an LLM environment parity audit?

    1. Read each AI code line out loud and say what it does 🗣️
    2. Suggest index additions, query rewrites, and schema changes
    3. Distinguish a symptom from a root cause without verification
    4. What AI cannot do

13. Which of the following is a concept covered in Catching dev/prod drift with an LLM environment parity audit?

    1. environment parity
    2. configuration drift
    3. audit
    4. Read each AI code line out loud and say what it does 🗣️

14. Which of the following is a concept covered in Catching dev/prod drift with an LLM environment parity audit?

    1. environment parity
    2. configuration drift
    3. audit
    4. Read each AI code line out loud and say what it does 🗣️

15. Which of the following is a concept covered in Catching dev/prod drift with an LLM environment parity audit?

    1. environment parity
    2. configuration drift
    3. audit
    4. Read each AI code line out loud and say what it does 🗣️