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DAA-C01 · Question #41

Which statement accurately describes the use of regular views in data analysis?

The correct answer is C. They simplify complex data structures, aiding ease of analysis.. Regular views act as saved queries that present data in a simplified, pre-structured format, making it easier for analysts to work with complex joins, aggregations, or filtered datasets without rewriting logic each time - that's why C is correct. Why the distractors are wrong: A

Data Exploration and Analysis

Question

Which statement accurately describes the use of regular views in data analysis?

Options

  • ARegular views are exclusively used for administrative tasks.
  • BRegular views limit data accessibility for improved security.
  • CThey simplify complex data structures, aiding ease of analysis.
  • DRegular views offer real-time updates to reflect instantaneous database changes.

How the community answered

(26 responses)
  • B
    4% (1)
  • C
    88% (23)
  • D
    8% (2)

Explanation

Regular views act as saved queries that present data in a simplified, pre-structured format, making it easier for analysts to work with complex joins, aggregations, or filtered datasets without rewriting logic each time - that's why C is correct.

Why the distractors are wrong:

  • A is wrong because views are a general-purpose SQL feature used by analysts and developers, not just administrators.
  • B is wrong in its framing - while views can restrict column/row visibility as a side effect, their primary purpose is not security limitation; that's a secondary use case, and the statement overstates it.
  • D is wrong because regular views are not materialized; they execute the underlying query at runtime but do not push live/streaming updates - that describes something more like a materialized view with refresh triggers or a streaming pipeline.

Memory tip: Think of a regular view as a window with a curtain - it shows you a curated slice of the room (data) and hides the messy furniture behind it, but it doesn't automatically redecorate when something changes.

Topics

#Views#Data abstraction#Data analysis#SQL concepts

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