Salesforce Certified Tableau Data Analyst
Latest Version: 11.1 Questions with Correct
Answers & Explanations | Graded A+
Study Guide
Question 1
What happens when you remove a hierarchy from the Data
pane?
A) All the pills inside the hierarchy get hidden
B) All the pills inside the hierarchy get deleted
C) The pills are placed back like they originally were in the Data
pane
D) Once a hierarchy has been created, it cannot be removed
Answer: C
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Rationale: When a hierarchy is removed in Tableau, the
hierarchy structure is dissolved, but the individual fields are
restored to their original positions in the Data pane. No data is
deleted or hidden; the fields simply return to their prior
organizational state .
Question 2
For which of the following field combinations can a Trend Line
NOT be created?
A) Order Date, Sales
B) Profit, Sales
C) Sales, Ship Date
D) Category, Profit
Answer: D
Rationale: Trend lines require numerical measures for both axes
to calculate mathematical relationships. Category is a dimension
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(discrete, non-numerical), while Profit is a measure. Since
category contains text values, a trend line cannot be calculated
between a dimension and a measure .
Question 3
Which file is a single zip file that contains a workbook along with
supporting local file data and background images, making it
ideal for sharing with users who don't have access to the original
data?
A) .twbx
B) .tde
C) .tds
D) .twb
Answer: A – .twbx
Rationale: The Tableau Packaged Workbook (.twbx) is a zip
archive containing the workbook (.twb) plus any external files
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such as extract data files (.tde or .hyper) and background
images. This makes it portable for sharing. A .twb file references
external data sources but does not contain them .
Question 4
Dragging a Continuous Dimension to the Rows or Columns shelf
will create a(n) __________.
A) header
B) axis
C) column
D) row
Answer: B – axis
Rationale: In Tableau, continuous fields (green pills) create axes
with a continuous range of values, while discrete fields (blue pills)
create headers with categorical labels. This distinction is
fundamental to understanding how Tableau builds views .