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Tableau Desktop Specialist Sample Questions (Q73-Q78):
NEW QUESTION # 73
Which of the following is a good reason for using a bullet graph?
- A. Analysing the trend over a given time period
- B. Forecasting future sales
- C. Displaying the year-on-year growth in sales
- D. Comparing the actual sales against the target sales
Answer: D
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 # 74
Using the dataset, create a bar chart showing the average Quantity broken down by Region, and filtered by Country to only show Japan. What was the average Quantity in the State of Tokyo?
- A. 3.704
- B. 3.000
- C. 3.840
- D. 3.500
Answer: A
Explanation:
Since we need to focus on 1 country -> Japan, let's filter on it first as follows:
1) Drag Country to the filter shelf, and choose only Japan. Click OK.
2) Read the Question Carefully, we need to break down the visualisation by Region, then by Country, and then by State. So let's do that:
Drag Region to the column shelf, followed by Country. Drill down into Country to include states as well.
Then drag Quantity to the Row Shelf, and change the Aggregation to AVERAGE.
The following is our visualisation:
Now that you think of it, EVEN IF YOU REMOVE THE REGION, THE ANSWER REMAINS THE SAME. Such elements will be present in the actual exam too, just to make the question sound a little difficult, but actually it is pretty straightforward :)
NEW QUESTION # 75
Which of the following are valid ways of Grouping Data?
- A. From the Analytics Pane
- B. From the Dimensions Shelf
- C. Using Marks in the view
- D. Using Labels in the View
Answer: B,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 # 76
Question 30: Skipped
Using the CoffeeChain table, create a scatter plot of Profit (x-axis) vs Sales (y-axis) broken down by State.
Add a Linear trend line to the view. What is its R-squared value?
- A. 0.783262
- B. 0.739284
- C. 0.759329
- D. 0.748472
Answer: A
Explanation:
Trend lines have become popular questions in recent Tableau examinations. Follow along:
1) First drag Sales to the Rows shelf and Profit to the Columns shelf:
c
You will only see a single mark since the view is aggregated.
2) Now, break down this view by state. Drag State into Detail on the Marks shelf ( or directly to the view):
3) Finally, move to the Analytics pane, and drag Trend line to the view. When you drag it, select the Linear option!:

4) The following is our view. Hover over the trend line to see the R-squared value:
NEW QUESTION # 77
What is a Tableau story point?
- A. An individual sheet or dashboard in the story
- B. A collection of sheets arranged in a sequence
- C. A collection of talking points to drive the story
- D. The pane where you set the size of the story
Answer: A
Explanation:
A Tableau story point is an individual container in a story that holds a sheet or dashboard. It's like a slide in a presentation, and a story is a sequence of these points that can be used to convey a data narrative, showing how facts are connected and guiding the audience through a sequence of analysis steps.
NEW QUESTION # 78
......
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