When designing a data model for a lakehouse that needs to scale across dimensions of data volume, velocity, and variety, which architectural approach ensures balanced scalability without compromising on performance or manageability?

Real Exam

Utilize a single, monolithic Delta Lake table with extensive partitioning and indexing to handle scalability across all dimensions.

3.6%

Implement separate storage layers optimized for each dimension within the lakehouse, using views to provide a unified access layer.

15.3%

Adopt a federated lakehouse model, distributing dimensions across specialized storage systems while maintaining a unified query interface.

61.3%

Leverage automated data tiering and lifecycle management policies to dynamically adjust storage strategies based on usage patterns.

19.8%

Databricks Certified Data Engineer - Professional