AI-Suggested Database Indexes from Slow Query Logs

End-of-lesson check

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

1. What is the core idea behind "AI-Suggested Database Indexes from Slow Query Logs"?

   1. Feed slow query logs to an LLM to draft index proposals — and the guardrails that keep them safe.
   2. validation
   3. responsive
   4. Create an interactive story where the reader picks what happens next.

2. Which term best describes a foundational idea in "AI-Suggested Database Indexes from Slow Query Logs"?

   1. indexes
   2. database-tuning
   3. slow-query-logs
   4. query-planning

3. A learner studying AI-Suggested Database Indexes from Slow Query Logs would need to understand which concept?

   1. database-tuning
   2. slow-query-logs
   3. indexes
   4. query-planning

4. Which of these is directly relevant to AI-Suggested Database Indexes from Slow Query Logs?

   1. database-tuning
   2. indexes
   3. query-planning
   4. slow-query-logs

5. Which of the following is a key point about AI-Suggested Database Indexes from Slow Query Logs?

   1. Cluster slow queries by shape and propose covering indexes
   2. Spot missing indexes on frequent join keys
   3. Warn when a proposed index duplicates an existing one
   4. Draft a CREATE INDEX CONCURRENTLY migration with rollback

6. Which of these does NOT belong in a discussion of AI-Suggested Database Indexes from Slow Query Logs?

   1. Warn when a proposed index duplicates an existing one
   2. Spot missing indexes on frequent join keys
   3. validation
   4. Cluster slow queries by shape and propose covering indexes

7. Which statement is accurate regarding AI-Suggested Database Indexes from Slow Query Logs?

   1. Know storage cost ceilings unless you tell it
   2. Replace EXPLAIN ANALYZE on real production data
   3. Predict write amplification on your traffic shape
   4. validation

8. What is the key insight about "Index proposal prompt" in the context of AI-Suggested Database Indexes from Slow Query Logs?

   1. validation
   2. responsive
   3. Create an interactive story where the reader picks what happens next.
   4. Pass the schema, current indexes, and the top 20 slow queries.

9. What is the key insight about "Indexes are a write tax" in the context of AI-Suggested Database Indexes from Slow Query Logs?

   1. Every new index slows writes. Never apply a suggestion without measuring write QPS impact in staging first.
   2. validation
   3. responsive
   4. Create an interactive story where the reader picks what happens next.

10. Which statement accurately describes an aspect of AI-Suggested Database Indexes from Slow Query Logs?

    1. validation
    2. An LLM with the slow query log and the schema can propose candidate indexes well, but only EXPLAIN ANALYZE proves them.
    3. responsive
    4. Create an interactive story where the reader picks what happens next.

11. Which best describes the scope of "AI-Suggested Database Indexes from Slow Query Logs"?

    1. It is unrelated to ai-coding workflows
    2. It applies only to the opposite beginner tier
    3. It focuses on Feed slow query logs to an LLM to draft index proposals — and the guardrails that keep them safe.
    4. It was deprecated in 2024 and no longer relevant

12. Which section heading best belongs in a lesson about AI-Suggested Database Indexes from Slow Query Logs?

    1. validation
    2. responsive
    3. Create an interactive story where the reader picks what happens next.
    4. What AI does well here

13. Which section heading best belongs in a lesson about AI-Suggested Database Indexes from Slow Query Logs?

    1. What AI cannot do
    2. validation
    3. responsive
    4. Create an interactive story where the reader picks what happens next.

14. Which of the following is a concept covered in AI-Suggested Database Indexes from Slow Query Logs?

    1. indexes
    2. database-tuning
    3. slow-query-logs
    4. query-planning

15. Which of the following is a concept covered in AI-Suggested Database Indexes from Slow Query Logs?

    1. database-tuning
    2. slow-query-logs
    3. indexes
    4. query-planning