Metadata
Technology & Computer Science Graduate Understand Medium-
Subject
Technology & Computer Science
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Education level
Graduate
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Cognitive goals
Understand
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Difficulty estimate
Medium
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Tags
consistency models, eventual consistency, causal consistency, linearizability, distributed systems
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Number of questions
5
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Created on
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Generation source
Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini
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License
CC0 Public domain
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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.
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%
Mock data used for demo purposes.