Correct Answer : Get Lastest Questions and Answer : Explanation: : Consistency refers to how up-to-date and synchronized all replicas of a row of Cassandra data are at any given moment. Ongoing repair operations in Cassandra ensure that all replicas of a row will eventually be consistent. Repairs work to decrease the variability in replica data, but constant data traffic through a widely distributed system can lead to inconsistency (stale data) at any given time
Question : As per the CAP theorem, Cassandra is a ________ database 1. CA
Correct Answer : Get Lastest Questions and Answer : Explanation: Consistency refers to how up-to-date and synchronized all replicas of a row of Cassandra data are at any given moment. Ongoing repair operations in Cassandra ensure that all replicas of a row will eventually be consistent. Repairs work to decrease the variability in replica data, but constant data traffic through a widely distributed system can lead to inconsistency (stale data) at any given time. Cassandra is a AP system according to the CAP theorem, providing high availability and partition tolerance. Cassandra does have flexibility in its configuration, though, and can perform more like a CP (consistent and partition tolerant) system according to the CAP theorem, depending on the application requirements. Two consistency features are tunable consistency and linearizable consistency.
Question : You can tune Cassandra's consistency level ____________ 1. per-operation
Correct Answer : Get Lastest Questions and Answer : Explanation: To ensure that Cassandra can provide the proper levels of consistency for its reads and writes, Cassandra extends the concept of eventual consistency by offering tunable consistency. You can tune Cassandra's consistency level per-operation, or set it globally for a cluster or datacenter. You can vary the consistency for individual read or write operations so that the data returned is more or less consistent, as required by the client application. This allows you to make Cassandra act more like a CP (consistent and partition tolerant) or AP (highly available and partition tolerant) system according to the CAP theorem, depending on the application requirements.