Databricks Data Engineer Associate Question 8
Select 2A data engineering team is evaluating whether to adopt a data lakehouse architecture for their organization. They currently use a traditional data warehouse for analytics. Which of the following statements accurately describe the relationship between a data lakehouse and a data warehouse?
- A
A data lakehouse combines the scalability and cost-effectiveness of a data lake with the performance and reliability features of a data warehouse.
- B
A data lakehouse does not support ACID transactions, unlike a data warehouse.
- C
A data warehouse is better suited for unstructured and semi-structured data compared to a data lakehouse.
- D
A data lakehouse can enable unified governance and management of both structured and unstructured data.
- E
A data lakehouse eliminates the need for ETL processes when integrating data from multiple sources.
Show answer and explanation
Correct answers: A, D
Explanation
A data lakehouse architecture bridges the gap between data lakes and data warehouses, combining the benefits of scalability, cost-effectiveness, and support for unstructured data with the reliability and performance features of traditional data warehouses. It also provides unified governance for structured and unstructured data while supporting ACID transactions and enabling efficient data management.
- A. Correct.
Correct: A data lakehouse combines features of both data lakes (scalability and cost-effectiveness) and data warehouses (performance and reliability).
- B. Incorrect.
Incorrect: A data lakehouse supports ACID transactions through modern technologies like Delta Lake, ensuring data reliability.
- C. Incorrect.
Incorrect: A data warehouse is optimized for structured data, while a data lakehouse is designed to handle both structured and unstructured data effectively.
- D. Correct.
Correct: A data lakehouse provides unified governance and management capabilities, enabling better control and organization of data across formats.
- E. Incorrect.
Incorrect: While a data lakehouse reduces the complexity of data integration, it does not completely eliminate the need for ETL processes in all scenarios.