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H13-711_V3.5 · Question #372

Spark divides the stages according to the dependencies of RDDs. The scheduler starts from the end of the DAG graph and traverses the entire dependency chain in reverse. When it encounters narrow…

The correct answer is B. False. See the full explanation below for the reasoning.

Question

Spark divides the stages according to the dependencies of RDDs. The scheduler starts from the end of the DAG graph and traverses the entire dependency chain in reverse. When it encounters narrow dependencies, it disconnects, and when it encounters wide dependencies, it adds them to the current stage.

Options

  • ATrue
  • BFalse

How the community answered

(42 responses)
  • A
    24% (10)
  • B
    76% (32)

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