Associate Exam 2.4

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Q_01 domain/d1 · medium single discuss →

A data engineering team is spreading data across a Hadoop-based data lake and a warehouse-powered BI platform, and wants analysts to query all of it consistently without dealing with the underlying system complexity. Which architectural approach directly addresses this goal?

A Consolidating everything into a single data silo
B A data fabric that provides a unified integration and management layer connecting the endpoints
C A workload throttle limiting concurrent queries across systems
D A passive metadata catalog maintained only at design time

Q_02 domain/d1 · medium single discuss →

In the context of a data fabric, what distinguishes active metadata from passive metadata, and how is the conversion between them achieved?

A Passive metadata is dynamic and updated at runtime, while active metadata is static documentation created manually
B Active metadata is dynamic, providing changing insights, and AI/ML continuously convert passive metadata into it
C Both are static and require manual conversion by administrators at design time
D Active metadata is only used for security policies, while passive metadata handles query optimization