What is the Default partitioning method used between 2 "parallel" stages?
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same
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Round Robin
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Hash
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Random
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A
Correct answer
Explanation
When connecting two parallel stages in DataStage, the default partitioning method is 'Same', which preserves the partitioning from the previous stage. This avoids unnecessary data repartitioning. Round Robin, Hash, and Random are explicit choices that must be configured, not the default behavior.
AI explanation
When two parallel stages are directly connected in a DataStage job and the upstream data is already partitioned, the engine defaults to the Same partitioning method, which preserves the existing partitioning instead of re-partitioning (like Round Robin, Hash, or Random would) and avoids unnecessary repartitioning overhead.