CacheU
Back to article

CAP Theorem

Work through each question. Reveal the answer when you're ready to check.

0 / 10 revealed
Q1Hardcap-theoremdistributed-systemsconsistency

Why can a distributed system not guarantee both strong consistency and availability during a network partition?

Q2Hardcap-theorempartition-tolerancedistributed-systems

Why is Partition Tolerance considered mandatory in modern distributed systems?

Q3Hardcp-systemsdistributed-databasesconsistency

Why do banking systems usually prefer CP systems under CAP theorem?

Q4Hardap-systemsscalabilitydistributed-systems

Why do social media feeds and DNS systems often prefer AP architectures?

Q5Hardeventual-consistencydistributed-databasescap-theorem

How does eventual consistency help AP systems remain highly available?

Q6Harddistributed-consensusraftpaxos

Why do consensus protocols like Raft and Paxos prioritize consistency over availability?

Q7Hardcap-theorem-misconceptionsdistributed-systemsarchitecture

Why is the statement “choose any two of CAP” technically misleading?

Q8Hardcap-theoremmulti-region-systemsdistributed-architecture

How does multi-region deployment make CAP tradeoffs more visible?

Q9Hardcap-theoremdistributed-cachesbackend-engineering

Why are distributed caches typically designed as AP systems?

Q10Hardcap-theoremtrade-offssystem-design

How should architects decide between CP and AP system design?