All MCQs

Self-service BI gives users accessible tools and governed data models.
It reduces routine reporting dependence while still requiring controls and standards.

Prescriptive analytics recommends actions based on objectives, constraints, and predictions.
It goes beyond estimating what may happen by suggesting what should be done.

Predictive analytics uses patterns in historical data to estimate future outcomes.
Demand forecasting is a standard predictive use of warehouse information.

Diagnostic analysis seeks causes and contributing factors behind observed results.
Drill-down, comparison, and segmentation are commonly used for this purpose.

Descriptive analytics explains what has already happened using summaries and reports.
It does not primarily recommend actions or predict future outcomes.

BI improves access to consistent information and analytical insight.
It supports judgment rather than guaranteeing outcomes or replacing decision-makers.

Requirements connect warehouse design to real business questions and outcomes.
They guide scope, data selection, priorities, and acceptance criteria.

A KPI links a quantifiable measure to an organizational objective.
It helps decision-makers monitor whether performance is on target.

Long-term history allows measures to be compared across many periods.
Without retained history, sustained trends cannot be identified reliably.

Decision support depends on reliable information from multiple periods and sources.
Warehouses provide that analytical foundation without burdening operational systems.

Metadata explains what data means and how it is organized or produced.
It supports discovery, governance, lineage, and correct interpretation.

An operational data store integrates recent data for operational reporting.
It usually holds less history and changes more frequently than a warehouse.