Databricks Data Engineer Associate exam dumps

Databricks Data Engineer Associate practice question 521 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 521

Single answer

A data engineering team is setting up a new Databricks workspace for their organization. They are also configuring a new metastore for Delta tables and want to ensure optimal performance and manageability. Why is it recommended to colocate the metastore with the Databricks workspace?

  1. A

    To ensure low-latency access to metadata for Delta tables in the workspace.

  2. B

    To allow multiple Databricks workspaces to share the same metastore seamlessly.

  3. C

    To reduce the cost of data storage in the metastore.

  4. D

    To comply with data residency requirements enforced by cloud providers.

Show answer and explanation

Correct answer: A

Explanation

Colocating the metastore with the Databricks workspace ensures that metadata operations, such as table reads and writes, have low latency. This improves performance and manageability for Delta table operations. Other factors like data residency and cost may influence decisions but are not directly related to this best practice.

  • A. Correct.

    Correct: Colocating the metastore with the workspace ensures low-latency access to metadata, which is critical for optimal performance when querying or managing Delta tables.

  • B. Incorrect.

    Incorrect: While multiple workspaces can share a metastore, this option does not directly address why colocating the metastore with the workspace is recommended.

  • C. Incorrect.

    Incorrect: The cost of storage in the metastore is not impacted by its colocation with the workspace.

  • D. Incorrect.

    Incorrect: While data residency may be a factor in certain scenarios, this is not the primary reason for colocating the metastore with the workspace.

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