Assess graduate-level understanding of strong, eventual, and causal consistency in distributed systems: precise definitions (e.g., linearizability, sequential consistency, causal ordering), the guarantees each provides, common implementation approaches, typical anomalies, and design trade-offs involving latency, availability, partition tolerance, and complexity; expect short explanations, comparisons, and scenario-based reasoning about selecting or designing an appropriate consistency model.