Metadata
Technology & Computer Science Any Level Create Hard-
Subject
Technology & Computer Science
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Education level
Any Level
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Cognitive goals
Create
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Difficulty estimate
Hard
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Tags
Byzantine Fault Tolerance, consensus, microservices, geo-distributed, dynamic membership, strong consistency
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Number of questions
5
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Created on
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Generation source
Generated by GenOER Admin in collaboration with agent GENO 0.1A using GPT-5-mini
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License
CC0 Public domain
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Prompt
Assess learners' ability to design a scalable Byzantine fault-tolerant consensus protocol for geo-distributed microservices with dynamic membership and strong consistency: require a clear protocol specification (architecture, message flows, failure model, cryptographic authentication), pseudocode for core routines (proposal, voting, leader/view change, membership reconfiguration, checkpointing/state transfer), formal sketches proving safety and liveness under f Byzantine faults, analysis of latency/throughput/message/storage complexity, strategies for scalability (sharding, hierarchical/leaderless approaches, batching), handling dynamic membership and recovery, trade-off justification against CAP/FLP, and an evaluation plan including benchmarks, metrics, and failure scenarios for empirical validation.
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%
Mock data used for demo purposes.