Using AI to Triage Performance Suspects

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ai-coding-perf-triage-r12a1-creators

1. What is the core idea behind "Using AI to Triage Performance Suspects"?

   1. Get a ranked list of likely hot paths from code plus a profile.
   2. 'My deployment broke. Help me fix it.'
   3. Adding a help flag
   4. 'How do we divide work on this project?'

2. Which term best describes a foundational idea in "Using AI to Triage Performance Suspects"?

   1. hot-path
   2. profiling
   3. triage
   4. 'My deployment broke. Help me fix it.'

3. A learner studying Using AI to Triage Performance Suspects would need to understand which concept?

   1. profiling
   2. triage
   3. hot-path
   4. 'My deployment broke. Help me fix it.'

4. Which of these is directly relevant to Using AI to Triage Performance Suspects?

   1. profiling
   2. hot-path
   3. 'My deployment broke. Help me fix it.'
   4. triage

5. Which of the following is a key point about Using AI to Triage Performance Suspects?

   1. Read profile output and point at suspicious functions.
   2. Suggest specific micro-benchmarks to confirm a hypothesis.
   3. 'My deployment broke. Help me fix it.'
   4. Adding a help flag

6. What is one important takeaway from studying Using AI to Triage Performance Suspects?

   1. Know about your hardware, network, or data volume.
   2. Estimate real-world latency without measurement.
   3. 'My deployment broke. Help me fix it.'
   4. Adding a help flag

7. What is the key insight about "Profile + code prompt" in the context of Using AI to Triage Performance Suspects?

   1. 'My deployment broke. Help me fix it.'
   2. Adding a help flag
   3. Paste the profile summary and the suspect function and ask: 'List the top 3 suspected causes of the hot path and one tar…
   4. 'How do we divide work on this project?'

8. What is the key insight about "Never optimize without a baseline" in the context of Using AI to Triage Performance Suspects?

   1. 'My deployment broke. Help me fix it.'
   2. Adding a help flag
   3. 'How do we divide work on this project?'
   4. Capture before/after numbers for every change. AI will happily 'optimize' code in ways that do not measurably help.

9. Which statement accurately describes an aspect of Using AI to Triage Performance Suspects?

   1. Performance work needs measurement, not guessing. AI is useful only when you bring real profile data to read alongside the code.
   2. 'My deployment broke. Help me fix it.'
   3. Adding a help flag
   4. 'How do we divide work on this project?'

10. Which best describes the scope of "Using AI to Triage Performance Suspects"?

    1. It is unrelated to ai-coding workflows
    2. It focuses on Get a ranked list of likely hot paths from code plus a profile.
    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 Using AI to Triage Performance Suspects?

    1. 'My deployment broke. Help me fix it.'
    2. Adding a help flag
    3. What AI does well here
    4. 'How do we divide work on this project?'

12. Which section heading best belongs in a lesson about Using AI to Triage Performance Suspects?

    1. 'My deployment broke. Help me fix it.'
    2. Adding a help flag
    3. 'How do we divide work on this project?'
    4. What AI cannot do

13. Which of the following is a concept covered in Using AI to Triage Performance Suspects?

    1. profiling
    2. hot-path
    3. triage
    4. 'My deployment broke. Help me fix it.'

14. Which of the following is a concept covered in Using AI to Triage Performance Suspects?

    1. profiling
    2. hot-path
    3. triage
    4. 'My deployment broke. Help me fix it.'

15. Which of the following is a concept covered in Using AI to Triage Performance Suspects?

    1. profiling
    2. hot-path
    3. triage
    4. 'My deployment broke. Help me fix it.'