Quiz for:
Understanding the CAP Theorem

Question 1

Which property ensures a system remains operational even during node communication failures?

Question 2

Can a distributed system be perfectly strongly consistent according to real-world scenarios?

Question 3

What might be a consequence of prioritizing availability over consistency?

Question 4

When designing a system, why is the CAP Theorem important?

Question 5

During a network partition, what may nodes do to maintain consistency?

Question 6

Why is partition tolerance considered a necessity in distributed systems?

Question 7

Which trade-off scenario might prefer availability over consistency?

Question 8

What type of consistency allows nodes to sync over time?

Question 9

What kind of consistency do most databases aim for under real-world conditions?

Question 10

What does a system prioritize when it ensures availability?

Question 11

In which scenario is consistency prioritized over availability?

Question 12

Why might consistent data be crucial for e-commerce systems?

Question 13

What does strong consistency in a distributed system imply?

Question 14

What does CAP in CAP Theorem stand for?

Question 15

Which two properties are satisfied if a system emphasizes consistency and availability?