Databricks Data Engineer Associate exam dumps

Databricks Data Engineer Associate practice question 371 of 532

Databricks Certified Data Engineer Associate. Associate level, Databricks. Free question with the correct answer and a full explanation.

Databricks Data Engineer Associate Question 371

Select 2

You are designing a data pipeline in Databricks using Delta Live Tables (DLT). While configuring the pipeline, you need to specify the 'target' and include notebook libraries. What is the purpose of these two components in the pipeline creation process?

  1. A

    The 'target' defines the location where the output tables will be stored.

  2. B

    The 'target' specifies the path to the notebook that contains the pipeline logic.

  3. C

    Notebook libraries allow you to modularize and reuse code across multiple pipelines.

  4. D

    Notebook libraries are required to define the schema of the output tables.

  5. E

    The 'target' ensures that the pipeline is executed in a specific Databricks cluster.

Show answer and explanation

Correct answers: A, C

Explanation

In Delta Live Tables, the 'target' parameter is used to specify the storage location for the output tables, such as a database or storage path. Notebook libraries provide flexibility in modularizing and reusing code, which can be shared across multiple pipelines. Together, these components ensure the pipeline is both functional and maintainable.

  • A. Correct.

    Correct: The 'target' parameter in Delta Live Tables specifies the storage location (such as a database or path) for the resulting output tables created by the pipeline.

  • B. Incorrect.

    Incorrect: The 'target' does not specify the path to the notebook; it is used to designate the storage location for the pipeline's output.

  • C. Correct.

    Correct: Notebook libraries allow for modularization and reuse of code by enabling you to include utility functions or shared logic across multiple pipelines.

  • D. Incorrect.

    Incorrect: Notebook libraries are not responsible for defining the schema of output tables; schemas are typically inferred or defined in the pipeline code.

  • E. Incorrect.

    Incorrect: The 'target' does not control the cluster on which the pipeline runs; cluster specifications are managed separately in the pipeline configuration.

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