Metadata
Technology & Computer Science Undergraduate Apply Medium
Metadata
  • Subject

    Technology & Computer Science

  • Education level

    Undergraduate

  • Cognitive goals

    Apply

  • Difficulty estimate

    Medium

  • Tags

    indexing, query plan, EXPLAIN, SQL optimization, joins, selectivity

  • Number of questions

    5

  • Created on

  • Generation source

    Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • Prompt

    Assess students' ability to apply indexing strategies and query-plan analysis to optimize SQL queries in relational databases. Expect tasks that require choosing appropriate index types (B-tree, hash, composite), interpreting EXPLAIN/EXPLAIN ANALYZE output to identify full table scans and suboptimal joins, proposing query rewrites or index changes to improve nested-loop, hash, or merge joins, and evaluating selectivity, statistics, covering/index-only scans, and read/write trade-offs including maintenance costs. Students should propose concrete changes and predict their impact on execution cost and performance.
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.