Databricks Data Engineer Associate Question 10
Select 3A data engineering team is considering adopting a data lakehouse architecture to replace their existing data warehouse. Which of the following statements correctly describe the relationship between the data lakehouse and the data warehouse?
- A
A data lakehouse combines the scalability and flexibility of a data lake with the reliability and performance of a data warehouse.
- B
A data lakehouse eliminates the need for a data warehouse by storing and processing only unstructured data.
- C
A data warehouse and a data lakehouse both support structured data and SQL-based analytics.
- D
A data lakehouse introduces ACID transactions to data lakes, improving reliability for analytics use cases.
- E
A data lakehouse and a data warehouse are the same architecture, but implemented using different tools.
Show answer and explanation
Correct answers: A, C, D
Explanation
The data lakehouse architecture bridges the gap between data lakes and data warehouses by combining their strengths, scalability, flexibility, and support for unstructured data from data lakes, along with reliability, performance, and structured data capabilities (including ACID transactions) from data warehouses. It supports structured and unstructured data and provides SQL-based analytics, making it suitable for modern data workloads.
- A. Correct.
Correct: A data lakehouse integrates the advantages of both data lakes and data warehouses, making it scalable, flexible, and reliable for various workloads.
- B. Incorrect.
Incorrect: A data lakehouse does not eliminate the need for structured data processing; instead, it supports both structured and unstructured data.
- C. Correct.
Correct: Both architectures support structured data and SQL-based analytics, which is a foundational capability in analytics workflows.
- D. Correct.
Correct: One key feature of a data lakehouse is the introduction of ACID transactions to data lakes, enabling data reliability for analytics workloads.
- E. Incorrect.
Incorrect: A data lakehouse and a data warehouse are fundamentally different architectures, even though they may share some overlapping capabilities.