Metadata
Technology & Computer Science Adult Learning Analyze Medium
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Metadata

  • Subject

    Technology & Computer Science

  • Education level

    Adult Learning

  • Cognitive goals

    Analyze

  • Difficulty estimate

    Medium

  • Tags

    indexing, query performance, database design, query optimization, trade-offs

  • 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 learners' ability to analyze database indexing strategies and evaluate query performance trade-offs. Scope: index types (B-tree, hash, composite, covering, bitmap), index selection based on query patterns and data characteristics (selectivity, cardinality), interpreting EXPLAIN/EXPLAIN ANALYZE plans, read/write and storage/maintenance trade-offs, impact on concurrency and fragmentation, and techniques like partial indexes, index-only scans, and partitioning. Tasks include diagnosing performance from example queries and schema, proposing index changes with cost/benefit justification, and outlining validation tests and metrics.
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Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.