When modeling data for complex event processing (CEP) within a lakehouse, which design approach is most efficient for detecting patterns and executing temporal queries on high-velocity event streams?

Real Exam

Utilize a graph database model within the lakehouse to efficiently map event relationships and patterns.

10.8%

Store events in a flat, denormalized structure with precomputed temporal attributes to accelerate pattern matching queries.

46.8%

Normalize event data across multiple tables to reduce redundancy and facilitate complex joins for pattern detection.

15.2%

Implement custom partitioning and bucketing strategies based on event types and temporal characteristics to optimize query performance.

27.2%

Databricks Certified Data Engineer - Professional