TDS-C01 Valid Dump & Lab TDS-C01 Questions

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Lab Tableau TDS-C01 Questions - Free TDS-C01 Pdf Guide

ExamDiscuss is a website that provide the counseling courses for IT professionals to participate in Tableau certification TDS-C01 exam and help them get the Tableau TDS-C01 certification. The courses of ExamDiscuss is developed by experienced experts' extensive experience and expertise and the quality is very good and have a very fast update rate. Besides, exercises we provide are very close to the real exam questions, almost the same. When you select ExamDiscuss, you are sure to 100% pass your first time to participate in the difficult and critical Tableau Certification TDS-C01 Exam.

Tableau TDS-C01: Tableau Desktop Specialist is one of the most popular and in-demand certification exams in the field of data visualization. It is designed to test the knowledge and skills of the candidates in creating effective and efficient visualizations using Tableau Desktop. TDS-C01 Exam is conducted by Tableau, a leading data visualization software company, and is recognized globally as a benchmark for proficiency in Tableau Desktop.

Tableau TDS-C01: Tableau Desktop Specialist Exam is an important certification program for individuals who want to enhance their skills and knowledge of Tableau Desktop software. Tableau Desktop Specialist certification is globally recognized and provides several benefits to individuals who pass the exam. It is recommended that individuals who take the exam have at least three months of experience using Tableau Desktop software.

Tableau Desktop Specialist Sample Questions (Q16-Q21):

NEW QUESTION # 16
Which of the following are valid ways of Grouping Data?

Answer: A,B,D

Explanation:
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 # 17
Which of the following is a good reason for using a bullet graph?

Answer: B

Explanation:
A bullet graph is a variation of a bar graph developed to replace dashboard gauges and meters. A bullet graph is useful for comparing the performance of a primary measure to one or more other measures. Below is a single bullet graph showing how actual sales compared to estimated sales.


NEW QUESTION # 18
Using the Geo Data Table, create a Map showing Sales made per State. For the State of New York (NY), what was the amount in Sales ($) made for Phone Assortments with White color?

Answer: E

Explanation:
Phew! Tricky one! You needed to use filters in this one.
Follow along:

2) Next, as the question mentions, we need to focus on the Assortment PHONE, the color WHITE, and the state of NEW YORK. -> so we use filters for this!
i) First drag Assortment to Filters, and select only Phones :

ii) Next, drag Color to Filters and Choose only White:

iii) Next, drag State ID to Filters, and choose New York (NY):


And Voila! We have our answer as follows:

iv) Last, drag Sales to Label:


NEW QUESTION # 19
True or False: We can disaggregate the data, to see all of the marks in the view at the most detailed level of granularity

Answer: B

Explanation:
Whenever you add a measure to your view, an aggregation is applied to that measure by default. This default is controlled by the Aggregate Measures setting in the Analysis menu.
If you decide you want to see all of the marks in the view at the most detailed level of granularity, you can disaggregate the view. Disaggregating your data means that Tableau will display a separate mark for every data value in every row of your data source.
To disaggregate all measures in the view:
Clear the Analysis >Aggregate Measures option. If it is already selected, click Aggregate Measures once to deselect it.


NEW QUESTION # 20
When you want to first apply a filter and THEN show the Top N or Bottom N elements, which of the following filters would you use?

Answer: B

Explanation:
Explanation
IMPORTANT QUESTION, PAY ATTENTION
By default, all filters that you set in Tableau are computed independently. That is, each filter accesses all rows in your data source without regard to other filters. However, you can set one or more categorical filters as context filters for the view. You can think of a context filter as being an independent filter. Any other filters that you set are defined as dependent filters because they process only the data that passes through the context filter.
You may create a context filter to:
1) Improve performance - If you set a lot of filters or have a large data source, the queries can be slow. You can set one or more context filters to improve performance.
2) Create a dependent numerical or top N filter - You can set a context filter to include only the data of interest, and then set a numerical or a top N filter.


NEW QUESTION # 21
......

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