Ultimate access to all questions.
Upgrade Now 🚀
Sign in to unlock AI tutor
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?
A
Utilize a single, monolithic Delta Lake table with extensive partitioning and indexing to handle scalability across all dimensions.
B
Implement separate storage layers optimized for each dimension within the lakehouse, using views to provide a unified access layer.
C
Adopt a federated lakehouse model, distributing dimensions across specialized storage systems while maintaining a unified query interface.
D
Leverage automated data tiering and lifecycle management policies to dynamically adjust storage strategies based on usage patterns.
