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TDS-C01套裝 & TDS-C01最新考古題
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最新的 Tableau Desktop Specialist TDS-C01 免費考試真題 (Q128-Q133):
問題 #128
Is SUM a table calculation?
- A. Yes
- B. No
答案:B
解題說明:
SUM is an aggregate function, not a table calculation!
A table calculation is a transformation you apply to the values in a visualization. Table calculations are a special type of calculated field that computes on the local data in Tableau. They are calculated based on what is currently in the visualization and do not consider any measures or dimensions that are filtered out of the visualization.
The most common Table calculations are:
Running Total
Percent Difference
Difference
Percent of Total
Rank
Percentile
These can be calculated using : Table(across), Cell, or Specific dimensions!
問題 #129
When exporting a worksheet as an image in Tableau, which of the following file formats are available?
- A. JPEG Image (.JPG, .JPEG)
- B. Tagged Image File Format (TIFF)
- C. Windows Bitmap (.BMP)
- D. Portable Network Graphic (.PNG)
答案:A,C,D
解題說明:
The following options are available when an image is Exported:
NOTE: When we Copy an image rather than exporting it, then the image is copied to the clipboard in the TIFF file format! However, it is not available when EXPORTING an image.
問題 #130
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. 0.759329
- B. 0.783262
- C. 0.739284
- D. 0.748472
答案:B
解題說明:
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:
問題 #131
Which of the following are benefits of using Data Extracts in Tableau?
- A. Ability to use the data offline
- B. Faster to work with
- C. Working with freshest data at all times
- D. Improved Performance
答案:A,B,D
解題說明:
Explanation
Extracts are advantageous for several reasons:
1) Supports large data sets: You can create extracts that contain billions of rows of data.
2) Fast to create: If you're working with large data sets, creating and working with extracts can be faster than working with the original data.
3) Help improve performance: When you interact with views that use extract data sources, you generally experience better performance than when interacting with views based on connections to the original data.
4) Support additional functionality: Extracts allow you to take advantage of Tableau functionality that's not available or supported by the original data, such as the ability to compute Count Distinct.
5) Provide offline access to your data: Extracts allow you to save and work with the data locally when the original data is not available. For example, when you are traveling.
To work with the MOST up-do-date data, use a live connection instead!
問題 #132
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. False
- B. True
答案:B
解題說明:
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.
問題 #133
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