According to how the data flow transmits data between two Transformations, what types of data flow can be divided into? (Multiple choice)

Question

Options

• Aredistributing streams
• BOne-to-one stream
• COne to many streams
• Ddistributing flow

• A
  19% (10)
• B
  71% (37)
• D
  10% (5)

Explanation

Data flows between two Transformations are classified based on how records move from one transformation to the next. One-to-one stream (B) means each record from the source transformation maps directly to exactly one record in the target transformation - a clean, direct pipeline. One-to-many stream (C) means a single source record produces multiple output records in the target transformation, such as when a row is split or duplicated across branches.

Options A ("redistributing streams") and D ("distributing flow") are distractors - while redistribution and distribution are real concepts in parallel/partitioned data processing (e.g., how data is shuffled across nodes), they describe partitioning strategies, not the fundamental classification of how data flows between transformations in this context.

Memory tip: Think of the two types like a postal analogy - one-to-one is a letter with a single recipient, one-to-many is a newsletter sent to multiple recipients from the same source. The key word in the question is "transmits data between two Transformations," which locks you to cardinality (how many outputs per input), not distribution topology.

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