Per CAP theorem, in which scenario do you NOTneed to make any trade-off between the guarantees?
Correct Answer: A
Explanation
(1) CAP THEOREM
“CONSISTENCY, AVAILABILITY and PARTITION TOLERANCE are the features that we want in our distributed system together” Of three properties of shared-data systems (Consistency, Availability and tolerance to network Partitions) only two can be achieved at any given moment intime.
(2) In a distributed system, you can have both Consistency and Availability, except when there is a Partition:
Relaxing the consistency requirements usually makes it easier to maintain availability, but the CAP theorem is not an excuse to give up strong consistency across the board. A well-designed system can balance both availability and consistency while tolerating partitions over a range of tradeoffs, where eventual consistency is just one possibility.
References:
https://blogs.oracle.com/maa/the-cap-theorem:-consistency-and-availability-except-when-partitioned
(1) CAP THEOREM
“CONSISTENCY, AVAILABILITY and PARTITION TOLERANCE are the features that we want in our distributed system together” Of three properties of shared-data systems (Consistency, Availability and tolerance to network Partitions) only two can be achieved at any given moment intime.
(2) In a distributed system, you can have both Consistency and Availability, except when there is a Partition:
Relaxing the consistency requirements usually makes it easier to maintain availability, but the CAP theorem is not an excuse to give up strong consistency across the board. A well-designed system can balance both availability and consistency while tolerating partitions over a range of tradeoffs, where eventual consistency is just one possibility.
References:
https://blogs.oracle.com/maa/the-cap-theorem:-consistency-and-availability-except-when-partitioned
