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Tableau TDS-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	Explain the difference between dimensions and measures Create a data source that uses multiple connections
Topic 2	Explain what kind of information dimensions usually contain Create sets by using marks and the data pane
Topic 3	Add interactive elements for consumers Explain the differences between using live connections versus extracts
Topic 4	Create groups by using marks, headers, and the data pane Create a chart to show specific values
Topic 5	Explain the difference between discrete date parts and continuous date values Explain when to use a parameter
Topic 6	Explain how continuous fields are displayed Explain the default aggregation for measures
Topic 7	Describe how an aggregated measure changes when dimensions are added to a view Explain when to use a join versus a relationship
Topic 8	Change data type for a data field Create a map using geographic data
Topic 9	Use color from the marks card Connecting to & Preparing Data Create live connections and extracts

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Tableau Desktop Specialist Sample Questions (Q26-Q31):

NEW QUESTION # 26
According to Tableau's 'Order of Operations', which of the following filters is applied FIRST?

• A. Extract Filter
• B. Dimension Filter
• C. Context Filter
• D. Measure Filter

Answer: A Explanation:
Explanation
According to Tableau's order of operations, the Extract filter is right at the top of the hierarchy. The data filtered in the Extract is then passed on to what we see in the Data Pane. See below:

NEW QUESTION # 27
True or False: Context Filters are executed after Data Source filters

• A. False
• B. True

Answer: B Explanation:
Explanation
THIS IS A VERY IMPORTANT QUESTION
To answer this question, you need to understand Tableau's Order of Operations. See below and remember this always:

NEW QUESTION # 28
True or False: To concatenate fields, they must be of same data type

• A. False
• B. True

Answer: B Explanation:
Yes! To concatenate fields, they must be of same data type. However, there is a workaround which we can use - Type casting. See below:

Here, State and City are Strings, but Postal Code? Nope. It's an Integer. So we can simply use the STR() function to convert it into a String, and hence the entire equation becomes valid!
NEW QUESTION # 29
Suppose you create a bar chart by dragging a dimension to the Column shelf and a measure to the Rows shelf. Which of the following would create a stacked bar chart?

• A. By dragging another measure to Color on the Marks card
• B. By dragging another measure to the Columns shelf
• C. By dragging another dimension to Color on the Marks card
• D. By dragging another dimension to the Rows shelf

Answer: C Explanation:
Very important question for the exam and appears quite a lot too.
The correct answer is - By dragging another dimension to Color on the Marks card.

This is what the question says we have already created. Now to convert this into a Stacked bar chart, we will drop another dimension on Color in the Marks card.

The rest won't create stacked bar charts, and hence are incorrect choices. The best way to answer such questions on the real exam is to quickly do what the options say and see if they satisfy the requirements in the question.
NEW QUESTION # 30
Which of the following are compelling reasons to use a Stacked Bar Chart?

• A. To visualize parts of a whole
• B. To easily visualize trends over time
• C. To be able to visualize complex information with fewer bars /
  marks
• D. To visualize each discrete category using a separate bar.

Answer: A,C Explanation:
Stacked bar charts will usually have lesser number of bars compared to a normal bar chart:
Normal bar chart - 9 bars

Stacked Bar Chart - 3 bars

We can easily see a 'part-of-a-whole' methodology being used here as well - we are seeing the breakdown of Segments within each Category.
To easily visualize trends over time - This is the definition of a line chart.
To visualize each discrete category using a separate bar - This can be accomplished using a simple bar chart, why use a stacked one?
NEW QUESTION # 31
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