Databricks Data Engineer Associate exam dumps

Databricks Data Engineer Associate practice question 225 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 225

Select 3

You are working on a data engineering project where multiple users are concurrently reading from and writing to the same Delta Lake table. Which of the following scenarios demonstrate how Delta Lake ensures ACID transactions?

  1. A

    When a user writes to a Delta table, other users reading the table will always see a consistent snapshot of the data.

  2. B

    Delta Lake uses optimistic concurrency control, ensuring that conflicting writes to the same data are detected and resolved.

  3. C

    Delta Lake automatically creates recovery checkpoints that allow for manual intervention to fix transactional errors.

  4. D

    In the event of a failed write operation, Delta Lake ensures the table remains in its original state without partial writes.

  5. E

    Delta Lake allows schema changes during a transaction without breaking the ACID guarantees.

Show answer and explanation

Correct answers: A, B, D

Explanation

Delta Lake provides ACID transactions by using snapshot isolation for consistent reads, optimistic concurrency control to handle concurrent writes, and fail-safe mechanisms like rolling back failed writes to maintain data integrity. These ensure that the data remains reliable and consistent in multi-user environments.

  • A. Correct.

    This is correct. By leveraging snapshot isolation, Delta Lake ensures that readers always see a consistent view of the data, even during concurrent writes.

  • B. Correct.

    This is correct. Delta Lake uses optimistic concurrency control to manage conflicts, ensuring that concurrent writes do not compromise data integrity.

  • C. Incorrect.

    This is incorrect. Delta Lake does not require manual intervention to fix transactional errors, as it automatically handles failures to maintain ACID compliance.

  • D. Correct.

    This is correct. Delta Lake prevents partial writes by rolling back changes when a write operation fails, ensuring data integrity.

  • E. Incorrect.

    This is incorrect. While Delta Lake supports schema evolution, schema changes during a single transaction are not directly related to ACID guarantees.

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