Correct Answer: C. Build dimensional data marts around shared conformed dimensions
Explanation:
The bus architecture integrates incremental dimensional solutions through conformed dimensions and facts.
This enables consistency while delivering business processes in stages.
Correct Answer: D. Provide OLAP, semantic modeling, and analytical calculation services
Explanation:
The middle tier translates warehouse data into analytical structures and business logic.
Cubes and semantic models are typical components of this tier.
Correct Answer: B. Data storage, OLAP or semantic processing, and front-end BI tools
Explanation:
The bottom tier stores and integrates data, the middle tier provides analytical services, and the top tier presents BI.
Separating layers improves scalability, manageability, and tool independence.
Correct Answer: A. Estimate future storage, processing, memory, and load-window needs
Explanation:
Capacity planning anticipates growth in data volume, users, and processing demand.
It reduces the risk of missed loads and unacceptable query performance.
Correct Answer: D. To match physical design to query patterns, concurrency, loads, and service levels
Explanation:
Workload knowledge guides partitioning, indexing, aggregation, and capacity choices.
A design optimized for one pattern may perform poorly for another.
Correct Answer: B. Coordinate versioned changes to ETL, schemas, models, and reports
Explanation:
Warehouse components are interdependent and must be deployed in a controlled sequence.
Release management reduces outages, mismatched versions, and rollback risk.