TDS-C01 Pdf Files, Study TDS-C01 Demo

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Tableau TDS-C01 exam is a computer-based test that is administered by Pearson VUE. TDS-C01 exam consists of 36 multiple-choice questions, and candidates are given 120 minutes to complete the exam. TDS-C01 exam is designed to test the practical skills of candidates, and therefore, it includes a range of scenario-based questions that require candidates to demonstrate their ability to apply Tableau concepts to real-world situations.

Obtaining the TDS-C01 certification can be a valuable asset for individuals who work in data analysis or data visualization roles. Tableau Desktop Specialist certification can demonstrate to employers that an individual has the skills and knowledge to use Tableau Desktop to create effective visualizations and communicate insights. Additionally, the certification can help individuals stand out in a competitive job market and potentially lead to career advancement opportunities. Overall, the TDS-C01 Exam is an important certification for anyone looking to demonstrate their proficiency in Tableau Desktop and advance their career in data analysis or visualization.

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Tableau Desktop Specialist Sample Questions (Q285-Q290):

NEW QUESTION # 285
To use a quick table calculation, which of the following programming languages do you need to know?

A. Java
B. ython
C. Javascript
D. None of these

Answer: D

Explanation:
You don't need to know ANY programming language to use quick table calculations!
Follow along with the steps below to learn how to apply a quick table calculation to a visualization:
1) Open Tableau Desktop and connect to the Sample-Superstore data source, which comes with Tableau.
2) Navigate to a new worksheet.
3) From the Data pane, under Dimensions, drag Order Date to the Columns shelf.
4) From the Data pane, under Dimensions, drag State to the Rows shelf.
5) From the Data pane, under Measures, drag Sales to Text on the Marks Card.
6) From the Data pane, under Measures, drag Profit to Color on the Marks Card.
7) On the Marks card, click the Mark Type drop-down and select Square.

The visualization updates to look like this:

Apply the quick table calculation
1) On the Marks card, right-click SUM(Profit) and select Quick Table Calculation > Moving Average.
Note: You can only perform quick table calculations on measures in the view.
A delta symbol appears on the field to indicate that a quick table calculation is being applied to the field. The colors in the visualization update to show the moving average of profit across the years.

NEW QUESTION # 286
True or False: A LEFT JOIN or INNER JOIN creates a row each time the join criteria is satisfied, which can result in duplicate rows. One way to avoid this is to use data blending instead.

A. True
B. False

Answer: A

Explanation:
Joins combine tables by adding more columns of data across similar row structures. This can cause data loss or duplication if tables are at different levels of detail, and joined data sources must be fixed before analysis can begin.

Inner join

Left Join
Blends, unlike relationships or joins, never truly combine the data. Instead, blends query each data source independently, the results are aggregated to the appropriate level, then the results are presented visually together in the view.

NEW QUESTION # 287
Which of the following are valid ways of Grouping Data?

A. From the Dimensions Shelf
B. From the Analytics Pane
C. Using Labels in the View
D. Using Marks in the view

Answer: A,C,D

Explanation:
**IMPORTANT QUESTION AND EXPLANATION, PLEASE READ**
3 ways to group data -
1) Marks
2) Labels
3) Dimensions shelf.
*IMPORTANT*
If we Group the data by selecting the marks, then they remain separate marks in the view and then have the same colour. Also, a new group is created in the Dimensions shelf. Example - Using the sample superstore dataset, first plot a bar chart showing sales for each sub-category:

Here, if we Select Phones, Chairs and Storage by selecting the MARKS (Bars), and then group them:

They remain seperate marks (BARS) but are grouped by the same colour.
Now, if we didn't do this, and rather grouped by selecting their Labels (Names):

Then they no longer remain separate Marks (bars) but are rather consolidated into a single Bar:

Finally, we can group directly from the Dimensions shelf as follows:

Now choose Phones, Chairs and Storage and Click Group:

You will now automatically have a new Dimension as follows:

NEW QUESTION # 288
Our use case states that we need to create a set showing the Bottom 10 products by Profit in each Region.
Which of the following filter types should you apply on Region?

A. Measure Filters
B. Extract Filters
C. Context Filters
D. Dimension Filters

Answer: C

Explanation:
The beauty of context filters is that according to Tableau's Order of Operations, they are executed before Sets.
Diagram Description automatically generated

This means that based on what Region's you've selected - Tableau will first only preserve the rows for those Regions. THEN, after this it will compute the Set , i.e , Bottom 10 products in each Region.
1) First let's create a set to compute the Bottom 10 Products by Profit.

2) Next, take region on the Rows Shelf followed by the Set we just created. Drag Region and the Set to the Filters Shelf as well.

3) Now, try to only visualize the data for the South Region:

4) The problem right now is that Tableau is computing the Set first (Bottom 10 Products), and then applying the Dimension Filter - South Region and hence these values are incorrect. Note how these aren't even 10 products, but rather just 8. To fix this, simply add Region to Context:

Upon doing this, we get the correct answer as :

References: https://help.tableau.com/current/pro/desktop/en-us/order_of_operations.htm
https://help.tableau.com/current/pro/desktop/en-us/filtering_context.htm

NEW QUESTION # 289
True or False: A LEFT JOIN or INNER JOIN creates a row each time the join criteria is satisfied, which can result in duplicate rows. One way to avoid this is to use data blending instead.