Databricks Data Engineer Associate Question 14
Select 3Which of the following improvements in the data lakehouse architecture help ensure better data quality compared to a traditional data lake?
- A
Support for ACID transactions on data
- B
Schema enforcement and evolution capabilities
- C
Storage limited to unstructured data formats
- D
Ability to decouple storage and compute
- E
Built-in support for data versioning and time travel
Show answer and explanation
Correct answers: A, B, E
Explanation
The data lakehouse improves data quality through features like ACID transactions, schema enforcement, and data versioning/time travel. These capabilities ensure data consistency, adherence to schemas, and better control over data changes, which are lacking in traditional data lakes.
- A. Correct.
ACID transactions in the data lakehouse architecture ensure that data integrity is maintained, even during concurrent operations, which is not natively supported in traditional data lakes.
- B. Correct.
Schema enforcement and evolution capabilities in the data lakehouse allow for structured and semi-structured data to adhere to predefined schemas, reducing the risk of data inconsistencies.
- C. Incorrect.
Traditional data lakes and data lakehouses both support structured, semi-structured, and unstructured data. This option does not contribute to improved data quality.
- D. Incorrect.
The ability to decouple storage and compute is a performance and scalability feature, not directly related to data quality improvements.
- E. Correct.
Data versioning and time travel in the data lakehouse allow users to track changes, restore previous versions, and maintain historical data, thereby improving data quality and governance.