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Introduction to CAP Theorem | Edureka Video Lecture | Cassandra: Learn and Master - Database Management

FAQs on Introduction to CAP Theorem - Edureka Video Lecture - Cassandra: Learn and Master - Database Management

1. What is CAP theorem?

Ans. CAP theorem, also known as Brewer's theorem, states that it is impossible for a distributed computer system to simultaneously provide consistency, availability, and partition tolerance guarantees. According to the theorem, a distributed system can only guarantee two out of these three properties.

2. What is consistency in CAP theorem?

Ans. Consistency in CAP theorem refers to the requirement that all nodes in a distributed system see the same data at the same time. In other words, consistency ensures that all replicas of data are updated simultaneously and consistently.

3. What is availability in CAP theorem?

Ans. Availability in CAP theorem refers to the guarantee that a distributed system can respond to client requests even in the presence of failures. It means that the system remains operational and accessible to users despite node failures or network partitions.

4. What is partition tolerance in CAP theorem?

Ans. Partition tolerance in CAP theorem refers to the system's ability to continue functioning even when communication between nodes in the system is unreliable. It means that the system can handle network partitions or failures without compromising its availability or consistency guarantees.

5. How does CAP theorem impact database management systems?

Ans. CAP theorem has a significant impact on database management systems as it helps in understanding the trade-offs between consistency, availability, and partition tolerance. Depending on the requirements of an application, the database management system can be designed to prioritize any two out of these three properties, sacrificing the third. This understanding helps in making informed decisions while choosing the appropriate database system architecture for a specific use case.

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Oct 04, 2025 Last updated

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