Databricks Data Engineer Associate Question 236
Select 3You are working with a Delta Lake table in Databricks where multiple users are concurrently reading from and writing to the table. You want to ensure that the table maintains consistency, isolation, and durability across all operations. Which feature(s) of Delta Lake make it ACID-compliant?
- A
Support for atomic commits to ensure all or none of a transaction is applied
- B
Use of checkpointing and log compaction to maintain durability
- C
Ability to undo specific changes to the table without affecting other operations
- D
Serializable isolation to prevent dirty reads and write conflicts
- E
Automatic schema evolution to allow schema modification during writes
Show answer and explanation
Correct answers: A, B, D
Explanation
Delta Lake is ACID-compliant because it supports atomic commits (ensuring all or none of a transaction is applied), durability through checkpointing and log compaction, and isolation to prevent conflicts during concurrent operations. These features collectively ensure data consistency and reliability in multi-user environments.
- A. Correct.
Delta Lake ensures atomic commits, meaning all operations within a transaction are applied completely or rolled back, which is critical for ACID compliance.
- B. Correct.
Checkpointing and log compaction ensure durability by maintaining the state of the table even in cases of failures, making this feature essential for ACID compliance.
- C. Incorrect.
While undoing specific changes can be helpful for debugging or version control, it is not directly related to ACID compliance.
- D. Correct.
Serializable isolation in Delta Lake ensures that concurrent reads and writes do not affect the correctness of data, making it a key feature for ACID compliance.
- E. Incorrect.
Automatic schema evolution allows schema modifications but is not directly related to ACID properties like atomicity, consistency, isolation, or durability.