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Exam TDVCL1 topic 1 question 26 discussion

Actual exam question from Teradata's TDVCL1
Question #: 26
Topic #: 1
[All TDVCL1 Questions]

What is a dimensional view?

  • A. A virtual star or snowflake schema layered over detail data.
  • B. A virtual view that is layered over a metadata table.
  • C. A fallback schema view that is layered over detail data.
  • D. A view that provides the dimensions of the data in the table.
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Suggested Answer: A 🗳️
by lmtome44 at Dec. 3, 2023, 8:30 p.m.

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lmtome44
1 year ago
A. A virtual star or snowflake schema layered over detail data. A dimensional view is a virtual data model that is optimized for query performance and analytical reporting. It typically represents a subset of data from a larger data warehouse or data lake, and it is designed to support specific business needs or analytical use cases. Dimensional views are typically implemented as star or snowflake schemas, which are simplified data models that emphasize the relationships between dimensions and facts. This makes them well-suited for analytical queries that involve aggregating and filtering data based on dimensions.
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