Assess graduate-level understanding of distributed consistency models by asking learners to define linearizability, sequential consistency, causal consistency, and eventual consistency; explain their formal guarantees and typical anomalies; compare trade-offs in latency, availability, partition tolerance, and implementation complexity; and analyze short histories or system scenarios to identify applicable models and likely correctness/performance outcomes.