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Whatdoes fault tolerance refer to in Big Data systems?Question 20Answera.The ability to scale up easilyb.The ability to prevent data corruptionc.The ability to handle data faultsd.The ability to recover from system failures

Question

Whatdoes fault tolerance refer to in Big Data systems?Question 20Answera.The ability to scale up easilyb.The ability to prevent data corruptionc.The ability to handle data faultsd.The ability to recover from system failures

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Solution

Fault tolerance in Big Data systems refers to the system's ability to continue operating properly in the event of the failure of (or one or more faults within) some of its components. If its operating quality decreases at all, the decrease is proportional to the severity of the failure, as compared to a naively designed system, in which even a small failure can cause total system breakdown.

So, the correct answer is:

d. The ability to recover from system failures

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Similar Questions

In the context of permissioned blockchains, what does the term "fault tolerance" refer to?1 pointA) The ability of the network to withstand hardware failures in participating nodes.B) The ability of the consensus algorithm to handle Byzantine failures, such as malicious or erroneous behavior.C) The capacity of the blockchain to process a high volume of transactions without congestion.D) The degree to which nodes can be trusted to execute smart contracts accurately.

Howdoesfault tolerance contribute to system reliability?Question 5Answera.By preventing all system failuresb.By increasing system complexityc.By reducing data processing speedd.By minimizing downtime and data loss

Explain the principle of "fault tolerance" in system architecture and provide an example.

Which strategy is commonly used for fault tolerance in distributed systems?Question 28Answera.Data encryptionb.Data aggregationc. Data compressiond. Data replication

Which of the following is an essential consideration when evaluating fault tolerance in distributed algorithms?a.Recovery time and impactb.Number of nodes or participantsc.Consistency of the systemd.Throughput scalability

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