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Tableau TDS-C01 (Tableau Desktop Specialist) Exam is a certification exam that validates a candidate's skills and knowledge in using Tableau Desktop software. Tableau is a powerful data visualization tool that enables users to create interactive and insightful dashboards and reports. TDS-C01 Exam is designed for individuals who are new to Tableau and want to demonstrate proficiency in using the software to analyze and visualize data.

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Tableau TDS-C01 Certification Exam is an excellent way for individuals to demonstrate their proficiency in Tableau Desktop. It is a challenging exam that covers a wide range of topics, but with proper preparation and study, candidates can pass the exam and obtain certification. The benefits of certification are significant and can lead to enhanced career opportunities and recognition in the industry.

Tableau Desktop Specialist Sample Questions (Q49-Q54):

NEW QUESTION # 49
How can you format numbers in Tableau as currency?

Answer: C

Explanation:
Explanation
According to the official Tableau documentation:


NEW QUESTION # 50
If you decide you want to see all of the marks in the view at the most detailed level of granularity, you can __________________ the view.

Answer: D

Explanation:

The different aggregations available for a measure determine how the individual values are collected: they can be added (SUM), averaged (AVG), or set to the maximum (MAX) or minimum (MIN) value from the individual row values.
For a complete list of the available aggregations, check out - List of Predefined Aggregations in Tableau.
The level of detail is determined by the dimensions in your view-for information about the concept of level of detail, see How dimensions affect the level of detail in the view.
Disaggregating your data can be useful for analyzing measures that you may want to use both independently and dependently in the view. For example, you may be analyzing the results from a product satisfaction survey with the Age of participants along one axis. You can aggregate the Age field to determine the average age of participants or disaggregate the data to determine at what age participants were most satisfied with the product.
Disaggregating data can be useful when you are viewing data as a scatter plot. See Example: Scatter Plots, Aggregation, and Granularity.


NEW QUESTION # 51
Yes or No: The number of marks will increase when you increase the number of Dimensions in a view

Answer: A

Explanation:
Of course! As an example, see below:
1) Using the Sample Superstore data, let's plot a bar chart showing the Sales for each Category:

Observe that we have 3 marks - Each bar in a bar chart is called a mark. Similarly, each point in a scatter plot is also a mark , and so on for all charts.
1 row by 3 columns means that clearly on the y-axis (Sales), we have only a single mark - a single continous axis, but 3 different marks (Technology, Furniture and Office supplies ) on the x-axis.
2) Now let's add subcategory to the view as well (another dimension):

Observe that the number of marks has increased - i.e the number of Bars.
Also, notice we now have 1 row and 17 columns. Simply because 1 row = Sales (on the y-axis), and on the x-axis, we have 17 different columns (i.e product sub categories!!)


NEW QUESTION # 52
You are creating a combined axis chart.
Where should you drag the second measure after dragging the first measure to the Rows shelf?

Answer: D


NEW QUESTION # 53
Which of the following are interactive elements that can be added to a dashboard for users?

Answer: A,B,C

Explanation:
We can perform filter, URL and highlight actions out of the above given choices on a dashboard. Please refer to the image below:
Graphical user interface Description automatically generated


NEW QUESTION # 54
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