Q1. What is the CAP theorem and how does it guide decisions?
A distributed store can guarantee only two of three during a network partition: Consistency (every read sees the latest write), Availability (every request gets a non-err...
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Q2. How does the saga pattern handle distributed transactions?
A saga replaces a single ACID transaction across services with a sequence of local transactions, each publishing an event or invoking the next step. If a step fails, prev...
Q3. Explain two-phase commit and its drawbacks.
Two-phase commit, 2PC, is an atomic commit protocol for transactions spanning multiple databases or resource managers. Phase one, prepare: the coordinator asks every part...
Q4. How does the CAP theorem affect microservice design?
CAP states that during a network partition a distributed system must choose between consistency (every read sees the latest write) and availability (every request gets a ...