一流的Analytics-DA-201考題寶典和資格考試的領導者和實用的Analytics-DA-201:Salesforce Certified Tableau Data Analyst
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最新的 Tableau Data Analyst Analytics-DA-201 免費考試真題 (Q28-Q33):
問題 #28
You have the following dashboard that contains two sheets.
You want to minimize the whitespace between the sheets.
What should you configure?
- A. The position
- B. The background
- C. The size
- D. The border
- E. The padding
答案:E
解題說明:
To minimize the whitespace between the sheets, you should configure the padding of the sheets and the dashboard. Padding is the amount of space between the edge of a sheet or dashboard and its content. You can adjust the padding by using the Layout tab in the Format pane. You can reduce the padding for each sheet by selecting the sheet and changing the values for the inner and outer padding. You can also reduce the padding for the dashboard by selecting the dashboard and changing the values for the outer padding. Reducing the padding will make the sheets and the dashboard more compact and eliminate unnecessary whitespace. References:
* Format Dashboards - Tableau
* Tableau Certified Data Analyst Study Guide
問題 #29
You have the following:
Overall Rank and Rank are calculated fields that use the RANK function.
You filter out the sub-category where [Ovorall Rank] - 1.
For which three the sub-categories will the value of Rank change? Choose three.
- A. Machines
G Phones - B. Accessories
- C. Tables
- D. Copiers
- E. Furnishings
- F. Bookcases
- G. Chairs
答案:A,B,C
解題說明:
In Tableau, the RANK function assigns a rank to each row within a partition of the data, based on the value of the field being ranked. It is important to understand that the rank is recalculated whenever the underlying data or the partitioning changes.
In the given scenario, the Overall Rank is based on the Sales figures, while the Rank (presumably) is based on the Sales within the Category. When filtering on the condition where [Overall Rank] - 1, it means we are excluding the sub-category that has an Overall Rank of 2.
Looking at the data:
* Furnishings has an Overall Rank of 8, which does not meet the filter condition ([Overall Rank] - 1).
Therefore, its rank remains the same.
* Tables have an Overall Rank of 3. When the sub-category with an Overall Rank of 2 is removed (Chairs in this case), Tables move up in the overall ranking. However, since Tables are the top-ranked within the Furniture category, their Rank within the category would remain unchanged at 1.
* Chairs have an Overall Rank of 2, which meets the filter condition and thus will be removed from the view. We cannot determine the change in Rank for Chairs because they are filtered out.
* Accessories have an Overall Rank of 5. If any sub-category with a higher Overall Rank (1 to 4) is removed, the rank of Accessories within the Technology category could change because it is currently ranked 3 in its category. With the removal of Phones (Overall Rank 1), the Rank of Accessories could potentially increase.
* Copiers have an Overall Rank of 6, which does not meet the filter condition. Therefore, its rank remains the same.
* Machines have an Overall Rank of 4. If we remove Phones (Overall Rank 1), Machines will move up in the overall ranking and potentially within the Technology category as well, changing its Rank from 2 to 1.
* Phones have an Overall Rank of 1, which does not meet the filter condition of being Overall Rank 2.
Therefore, its rank remains the same.
* Bookcases have an Overall Rank of 7, which does not meet the filter condition. Therefore, its rank remains the same.
Based on this analysis, when the sub-category with an Overall Rank of 2 (Chairs) is removed, the Rank value will change for Tables, Accessories, and Machines, as they will move up in the overall ranking within their respective categories. However, it's important to note that while Tables will move up in the overall ranking, their rank within the Furniture category would not change as they are already at the top. The rank changes for Accessories and Machines are due to the removal of Phones, which is ranked higher overall and within the Technology category.
問題 #30
You have the following dataset:
You want to create a parameter to dynamically filter the data to produce the following results.
Which two types of parameters can you use to produce the results? Choose two.
- A. Boolean
- B. Date
- C. Datetime
- D. Integer
- E. Float
- F. String
答案:D,F
解題說明:
In the context of filtering data in Tableau, both string and integer parameters can be used to dynamically filter data. A string parameter can be used to filter text-based values, while an integer parameter is suitable for numerical values. In the provided dataset and result URLs, it appears that a unique identifier or key (which could be a string or integer) is being used to filter specific data entries. References: The information is based on the following sources:
* An Introduction to Parameters in Tableau
* Create Parameters - Tableau
問題 #31
You have the following visualization.
The Last() calculation is set to compute using Table (across)
Which value will appear in the crosstab for the Consumer segment of the year 2018 if you change compute to use Oder Dale?
- A. 0
- B. 1
- C. 2
- D. 3
答案:A
解題說明:
The LAST() function in Tableau returns the number of rows from the current row to the last row in the partition. When you compute using 'Order Date', it will change the partitioning of the calculation. If
'Consumer' in '2018' is the last row in its partition when computed by 'Order Date', then LAST() will return 0 for that cell.
The LAST() function in Tableau is a table calculation that returns the number of rows from the current row to the last row in the partition. The value of LAST() is 0 for the last row, increases by 1 for each row above the last row, and can be negative for rows below the current row if there are such rows in the partition.
In the provided visualization, LAST() is set to compute using Table (across). Changing the compute mode to use "Order Date" will adjust the partitioning of the data upon which the LAST() function is calculated. Since
"Order Date" is likely to be a unique value per row (assuming each order has a unique date), each row becomes its own partition.
For the Consumer segment of the year 2018, if "Order Date" is unique for each row, then the last row in each partition (in this case, each individual row) will have a LAST() value of 0 because there are no other rows in the partition - it's the last row of its own partition.
Therefore, when you change the compute mode of LAST() to use "Order Date", each cell under the Consumer segment for the year 2018 will have the LAST() value of 0, because each order date creates a partition of one, making every row the last in its partition.
問題 #32
You have the following tiled dashboard that has one sheet.
You want to replace the sheet with Sheet2.
What should you do?
- A. Select Sheet3 and click the Swap Sheet button next to Sheet2.
- B. From the context menu of Sheet3. select Remove Dashboard item
- C. Drag Sheet2 to the dashboard.
- D. From the context menu of Sheet3. select Deselect
- E. Right-click Sheet2 and select Add to Dashboard.
答案:C
解題說明:
In Tableau, to replace a sheet on a dashboard, you can simply drag the desired sheet (Sheet2 in this case) from the sheets list onto the dashboard area where the current sheet (Sheet3) resides. This action will replace the existing sheet with the new one. Right-clicking and adding to the dashboard adds an additional sheet rather than replacing, and the context menu options mentioned in the other choices are not the standard methods for replacing sheets within a dashboard.
問題 #33
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