Assess graduate students' understanding of distributed-consistency models by asking them to define and contrast linearizability, sequential consistency, causal consistency, and eventual consistency; describe the ordering guarantees and anomalies each permits; summarize common implementation techniques (consensus, vector clocks, CRDTs); and analyze trade-offs between consistency, availability, latency, and partition tolerance with application-focused justifications for choosing a model.