To answer this question, let's understand the concept of Checkpointed Sort.

Checkpointed Sort is a technique used in distributed systems to efficiently sort and merge data records. It involves inserting a checkpoint between the sorting and merging phases to ensure fault tolerance and recovery.

During the sorting phase, the data records are divided into smaller chunks and sorted independently on different nodes or processors. Once the sorting is complete, a checkpoint is inserted to mark the progress made so far.

In the merging phase, the sorted chunks are combined and merged to produce the final sorted output. If a failure occurs during the merging phase, the system can recover by starting from the last checkpoint and resume the merging process.

Therefore, the statement "Checkpointed Sort sorts and merges data records, inserting a checkpoint between the sorting and merging phases" is true. The checkpoint ensures fault tolerance and recovery in case of failures during the merging phase.

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• Wrong explanation

To answer this question, you need to have knowledge of IBM InfoSphere DataStage, which is a data integration and transformation tool.

The default DataStage cache size is 256 MB.

Option A) 256 MB - This option is correct because it represents the default DataStage cache size. Option B) 128 MB - This option is incorrect because it does not represent the default DataStage cache size. Option C) 64 MB - This option is incorrect because it does not represent the default DataStage cache size. Option D) 512 MB - This option is incorrect because it does not represent the default DataStage cache size.

The correct answer is A) 256 MB. This option is correct because it represents the default DataStage cache size.

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• Wrong explanation