Answer: A data lakehouse stores unstructured data and is ACID-compliant.

## Explanation The correct answer is **D** because a data lakehouse is specifically designed to address the needs of both data engineering (ETL/ELT workloads) and data science/analytics workloads by: - **Storing unstructured data**: Like traditional data lakes, it can handle various data formats including unstructured data - **ACID compliance**: Like traditional data warehouses, it provides transactional consistency and reliability This combination allows data architects to: - Support data engineering workloads that require flexible data ingestion and processing - Support analytics workloads that require reliable, consistent data for reporting and analysis - Eliminate the need to maintain separate data lake and data warehouse systems **Why other options are incorrect:** - **A**: Data lakehouses still require proper data modeling for optimal performance - **B**: While governance is important, combining compute and storage isn't the primary feature that addresses both workload types - **C**: Autoscaling is a cloud feature, not specific to lakehouse architecture - **E**: Data lakehouses can exist on-premises or in the cloud, not exclusively in the cloud

Author: LeetQuiz .