Tableau Interview Questions

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Curriculum

Topic

01 - What is Tableau, and where does it fit in the modern analytics stack1:54
02 - What is the difference between a dimension and a measure2:14
03 - What is the difference between discrete and continuous fields, and how does Tableau show each (blue vs. green)1:55
04 - What is the difference between a live connection and an extract, and when would you choose each1:51
05 - What is the difference between a .twb and a .twbx file, and between a .tds and a .tdsx1:50
06 - What is the difference between joining, blending, and relationships in Tableau, and which is preferred in the1:57
07 - What are the different join types (inner, left, right, full outer), and when would you use each1:53
08 - What is the difference between a join and a union1:50
09 - When does data blending make sense instead of a join, and what are its limitations (e.g., aggregation, granula1:45
10 - What is data densification, and why can it produce unexpected marks in a view1:47
11 - What is a calculated field, and how does it differ from a parameter1:54
12 - What are Level of Detail (LOD) expressions, and what is the difference between FIXED, INCLUDE, and EXCLUDE1:53
13 - What is the difference between a table calculation and an LOD expression, and when would you reach for each1:56
14 - What is the difference between an aggregate calculation and a row-level calculation1:57
15 - Explain Tableau's order of operations (the filter execution order). Why does it matter for LOD expressions and1:55
16 - What are the different types of filters in Tableau (extract, data source, context, dimension, measure), and in1:55
17 - What is a context filter, and how does it affect performance and other filters1:59
18 - What is the difference between a group and a set, and what is a dynamic set1:53
19 - What are parameters, and how do they make a dashboard interactive1:56
20 - What are dashboard actions (filter, highlight, URL, parameter, set), and what do they enable2:04