Download Tableau Desktop Specialist.TDS-C01.VCEplus.2023-08-21.55q.vcex

Vendor: Tableau
Exam Code: TDS-C01
Exam Name: Tableau Desktop Specialist
Date: Aug 21, 2023
File Size: 15 MB
Downloads: 2

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Demo Questions

Question 1
Using the Time Series table, create a cross-tab showing sales for each Assortment broken down by Year and Quarter. In Q4 of October 2017, what was the Average sales amount for the Hardware assortment?
  1. 111,060
  2. 1,461
  3. 112,256
  4. 1,222
Correct answer: C
Explanation:
If you chose 111,060 you were SO close to the correct answer but made a small mistake - you didn't change the aggregation to AVERAGE! This is one of the common mistakes many test takers make, so keep this in mind. To reach the correct answer, follow the steps below:1) Draw Assortment to the Column shelf, and drag Year to the Rows Shelf. Then Drill down further on Year to accomodate Quarters and Months as well! Although this seems enough, DON'T FORGET to change the aggregation like in the next step, which will completely change the values!      The correct answer as you can see is 1,461 - Sales for Harware Assortment in 2017 Q4, October   
If you chose 111,060 you were SO close to the correct answer but made a small mistake - you didn't change the aggregation to AVERAGE! This is one of the common mistakes many test takers make, so keep this in mind. 
To reach the correct answer, follow the steps below:
1) Draw Assortment to the Column shelf, and drag Year to the Rows Shelf. Then Drill down further on Year to accomodate Quarters and Months as well! 
Although this seems enough, DON'T FORGET to change the aggregation like in the next step, which will completely change the values! 
 
 
The correct answer as you can see is 1,461 - Sales for Harware Assortment in 2017 Q4, October 
 
Question 2
Using the Geo Data table, create a Bar chart showing the In-Stock percentage for each Color. What is the Average In-Stock percentage for the Color Red? Present your answer correctly upto 2 decimal places.
  1. 96.46% 
  2. 95.12%
  3. 97.12%
  4. 99.46%
Correct answer: C
Explanation:
Not too tough. Follow along the steps:Drag Color to Filter and choose Red:     3) Now to display the percentage correctly, lets format it. Click on the In Stock % pill in the Row shelf, and select format:   And your final view will look like :  
Not too tough. Follow along the steps:
Drag Color to Filter and choose Red:
 
 
3) Now to display the percentage correctly, lets format it. Click on the In Stock % pill in the Row shelf, and select format:
 
And your final view will look like :
 
Question 3
Using the Time Series Table, create a Line chart showing the Monthly Year over Year Growth for the Sales, broken down by Assortment. For the Electronics assortment, which Month had the most NEGATIVE value of 
Year over Year Growth?
  1. October
  2. September
  3. July
  4. June
Correct answer: A
Explanation:
Follow along:1) Drag Assortment and Year ID (choose Discrete Month) to Columns shelf, and Sales to the Columns Shelf. For sales, click on the pill -> choose Quick Table calculation -> Year over Year growth. The view should now look like:
Follow along:
1) Drag Assortment and Year ID (choose Discrete Month) to Columns shelf, and Sales to the Columns Shelf. 
For sales, click on the pill -> choose Quick Table calculation -> Year over Year growth. 
The view should now look like:
Question 4
Using the Time Series Table, create a Line chart showing the Monthly Year over Year Growth for the Sales, broken down by Assortment. For the Electronics assortment, which Month had the most NEGATIVE value of Year over Year Growth? 
  1. October
  2. September
  3. July
  4. June
Correct answer: A
Explanation:
Follow along:1) Drag Assortment and Year ID (choose Discrete Month) to Columns shelf, and Sales to the Columns Shelf. For sales, click on the pill -> choose Quick Table calculation -> Year over Year growth. The view should now look like:   It is clear that October with -55.3% had the lowest Year on Year growth.
Follow along:
1) Drag Assortment and Year ID (choose Discrete Month) to Columns shelf, and Sales to the Columns Shelf. 
For sales, click on the pill -> choose Quick Table calculation -> Year over Year growth. 
The view should now look like:
 
It is clear that October with -55.3% had the lowest Year on Year growth.
Question 5
Skipped Join the Geo Data and Time Series Table on the Item Number ID column, and display the Store count for every State on a Map. What was the Store count in 2017 for Texas (TX)? 
Join the Geo Data and Time Series Table on the Item Number ID column, and display the Store count for every State on a Map. What was the Store count in 2017 for Texas (TX)?
  1. 592,593
  2. 293,202
  3. 416,702
  4. 336,908
Correct answer: C
Explanation:
Since you need BOTH State and the YEAR, we need to use an Inner Join. Follow the steps below:
Since you need BOTH State and the YEAR, we need to use an Inner Join. 
Follow the steps below:
Question 6
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?
  1. $16,581
  2. (Correct)
  3. $147,950
  4. $48,115
  5. $33,768
Correct answer: A
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 dragAssortmentto Filters, and select only Phones :   ii) Next, drag Color to Filters and Choose only White:   iii) Next, dragStateIDto Filters, and choose New York (NY):     And Voila! We have our answer as follows:   iv) Last, drag Sales to Label:
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 dragAssortmentto Filters, and select only Phones :
 
ii) Next, drag Color to Filters and Choose only White:
 
iii) Next, dragStateIDto Filters, and choose New York (NY):
 
 
And Voila! We have our answer as follows:
 
iv) Last, drag Sales to Label:
Question 7
Using the Time-series table, create a cross tab showing the Sales for each Item Number-ID, broken down by Assortments, then add Grand totals to the view. Which Item Number ID made the maximum sales across all assortments?
  1. 584
  2. 901
  3. Correct)
  4. 205
  5. 660
Correct answer: B
Explanation:
Follow along the steps below:Drag Assortment and Year ID to the column shelf, and Item Number ID to the row shelf. Next, drag Sales to the Text label to create a cross-tab as below:    
Follow along the steps below:
Drag Assortment and Year ID to the column shelf, and Item Number ID to the row shelf. Next, drag Sales to the Text label to create a cross-tab as below:
 
 
Question 8
Using the Time Series table, create a chart that shows the percent difference in Average Inventory on Hand for each Assortment by year and quarter. 
How many quarters did the Electronics Assortment show a negative percent difference in the Average Inventory On Hand?
  1. 1
  2. 2
  3. 3
  4. 4
Correct answer: C
Explanation:
If you chose 2, then you were very close but probably didn't plot the actual Percent Difference on your view. ( One of the marks is just over the line). Firstly, Drop the Week ID onto the column shelf, and convert it to continuous since we need both Year and Quarter as mentioned in the question.    2) Next, Drop assortment to filters shelf so that we can focus on Electronics!    3) This should be your view now. Click on the Show Mark Labels icon as shown:The final view is as follows, with 3 points below 0 ( i.e negative )   
If you chose 2, then you were very close but probably didn't plot the actual Percent Difference on your view. ( One of the marks is just over the line). 
Firstly, Drop the Week ID onto the column shelf, and convert it to continuous since we need both Year and Quarter as mentioned in the question. 
 
2) Next, Drop assortment to filters shelf so that we can focus on Electronics! 
 
3) This should be your view now. Click on the Show Mark Labels icon as shown:
The final view is as follows, with 3 points below 0 ( i.e negative ) 
 
Question 9
Which of the following is not a Trend Line Model?
  1. Linear Trend Line
  2. Exponential Trend Line
  3. binomial Trend Line
  4. Logarithmic Trend Line
Correct answer: C
Explanation:
According to the official Tableau documentation, there are 5 types of trend lines which we can work with in Tableau :1) Linear Trend Line 2) Logarithmic Trend Line 3) Exponential Trend Line 4) Polynomial Trend Line 5) Power Model Hence, the correct answer is BINOMIALtrend line which is not present in Tableau. See the following image:   For more information, refer to:https://help.tableau.com/current/pro/desktop/en-us/trendlines_add.htm
According to the official Tableau documentation, there are 5 types of trend lines which we can work with in Tableau :
1) Linear Trend Line 
2) Logarithmic Trend Line 
3) Exponential Trend Line 
4) Polynomial Trend Line 
5) Power Model 
Hence, the correct answer is BINOMIALtrend line which is not present in Tableau. 
See the following image:
 
For more information, refer to:https://help.tableau.com/current/pro/desktop/en-us/trendlines_add.htm
Question 10
True or False: A sheet cannot be used within a story directly. Either sheets should be used within a dashboard, or a dashboard should be used within a story.
  1. rue
  2. False
Correct answer: B
Explanation:
It is possible in Tableau to use a sheet within a story directly. Moreover, in Tableau, a story is a sequence of visualizations that work together to convey information. You can create stories to tell a data narrative, provide context, demonstrate how decisions relate to outcomes, or to simply make a compelling case. At the same time, a story is also a collection of sheets, arranged in a sequence. Each individual sheet in a story is called a story point.     
It is possible in Tableau to use a sheet within a story directly. 
Moreover, in Tableau, a story is a sequence of visualizations that work together to convey information. You can create stories to tell a data narrative, provide context, demonstrate how decisions relate to outcomes, or to simply make a compelling case. 
At the same time, a story is also a collection of sheets, arranged in a sequence. Each individual sheet in a story is called a story point. 
 
 
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