Metadata
Technology & Computer Science Graduate Understand Medium
Metadata
  • Subject

    Technology & Computer Science

  • Education level

    Graduate

  • Cognitive goals

    Understand

  • Difficulty estimate

    Medium

  • Tags

    consistency models, eventual consistency, causal consistency, linearizability, distributed systems

  • 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 graduate students' understanding of consistency models in distributed systems: define and contrast eventual consistency, causal consistency, and linearizability; identify their formal guarantees and typical anomalies; evaluate trade-offs between availability, latency, and correctness; and reason about implementation techniques (replication, quorums, vector clocks, linearization points) using short-answer and scenario-based questions.
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.