H13-711_V3.5 · Question #387
When using Loader for data import and export, data processing must go through the Reduce phase
The correct answer is A. True. A is correct because Loader (as used in platforms like Huawei FusionInsight, built on Sqoop/MapReduce) relies on the full MapReduce execution model for its data import and export operations. The Reduce phase is a required step in this pipeline - it handles the aggregation…
Question
When using Loader for data import and export, data processing must go through the Reduce phase
Options
- ATrue
- BFalse
How the community answered
(34 responses)- A82% (28)
- B18% (6)
Explanation
A is correct because Loader (as used in platforms like Huawei FusionInsight, built on Sqoop/MapReduce) relies on the full MapReduce execution model for its data import and export operations. The Reduce phase is a required step in this pipeline - it handles the aggregation, sorting, and organization of data before it is written to the target storage or system. Skipping the Reduce phase would break the integrity of the data processing workflow that Loader depends on.
Why B is wrong: It might seem that since some MapReduce jobs can theoretically run with zero reducers (map-only), Loader would follow the same flexibility - but in this specific implementation, the Reduce phase is mandatory and cannot be bypassed during data processing.
Memory tip: Think of Loader's pipeline as a conveyor belt with two required checkpoints - Map (transform/extract) and Reduce (organize/deliver). Both checkpoints must be passed; skipping Reduce means the package never reaches its destination.
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