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Learn Tableau Data Science Tutorial, validate concepts with Tableau Data Science MCQ Questions, and prepare interviews through Tableau Data Science Interview Questions and Answers.
Tableau Interview Q&A
1What is Tableau?
Answer: A BI tool for interactive dashboards and visual analytics.
2Live vs extract connection?
Answer: Live queries source directly; extract uses snapshot for speed/offline usage.
3Dimensions vs measures?
Answer: Dimensions categorize data; measures are numeric fields aggregated in views.
4What are calculated fields?
Answer: Custom expressions created inside Tableau for derived metrics.
5What is LOD expression?
Answer: Level of Detail expression controls aggregation granularity independent of view.
6What are table calculations?
Answer: Post-aggregation computations like running total and percent difference.
7How optimize dashboard performance?
Answer: Reduce marks/filters, optimize extracts, and simplify heavy calculations.
8What are dashboard actions?
Answer: Interactions like filter, highlight, and URL actions across sheets.
9When use parameters?
Answer: For user-driven dynamic controls in calculations and views.
10Data blending vs joins?
Answer: Joins combine at row-level; blending combines at aggregated level across sources.
11What is Tableau Server/Cloud role?
Answer: Securely publish, share, govern, and refresh dashboards for teams.
12One-line Tableau summary?
Answer: Tableau turns business data into interactive decision-support dashboards.