Status data and event data: Assess the statement. “Both status data (state at a point in time) and event data (time-stamped occurrences) can be stored in a database.”

Introduction / Context: Databases hold many forms of data. “Event data” records discrete occurrences (for example, a purchase) with timestamps. “Status data” captures the current state (for example, account balance) or a snapshot. The question asks whether both can be stored in a database; the answer hinges on common modeling patterns rather than any platform limitation.

Given Data / Assumptions:

• Relational, document, and time-series systems are all considered databases.
• Schemas can represent events (facts) and status (snapshots or slowly changing dimensions).
• Retention and performance requirements vary by use case.

Concept / Approach: Event tables typically store one row per occurrence with a timestamp (and possibly an event type). Status can be modeled as the latest row in a history table, a separate current-state table maintained by upserts, or periodic snapshots. Many analytic architectures keep both: events for causality and sequence, status for quick point-in-time queries.

Step-by-Step Solution:

Verification / Alternative check: Warehousing textbooks show event-centric facts plus status snapshots (for example, monthly inventory snapshots) in the same database, confirming feasibility.

Why Other Options Are Wrong:

• Confining this to time-series or append-only databases is unnecessary.
• Eventual consistency relates to distributed systems behavior, not representational capability.

Common Pitfalls: Confusing current-state overwrites with loss of history; mismatched grains between events and status leading to inaccurate joins; missing effective-dating for status changes.

Final Answer: Correct