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Maintaining and Automating Data WorkloadseasyMultiple ChoiceObjective-mapped

PDE Maintaining and Automating Data Workloads Practice Question

An engineer needs to create a reusable Dataflow pipeline that can be executed with different parameters without modifying code. Which Dataflow feature should they use?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Dataflow Flex Templates

Flex Templates allow packaging a pipeline into a Docker image with parameterization, enabling reuse across different environments.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Dataflow Shuffle

    Why it's wrong here

    Dataflow Shuffle is a service for efficient data shuffling, not template creation.

  • Dataflow Flex Templates

    Why this is correct

    Flex Templates use Docker containers and support any pipeline dependency, allowing parameterization.

  • Dataflow SQL

    Why it's wrong here

    Dataflow SQL is for SQL-based pipelines, not reusable templates.

  • Dataflow Classic Templates

    Why it's wrong here

    Classic Templates are limited to a single environment; Flex Templates are more flexible for custom containers.

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