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| Section | Weight | Objectives |
|---|---|---|
| Explore and Analyze Data | 41% | - Analyze and interpret data
|
| Connect to and Transform Data | 24% | - Prepare and clean data
|
| Publish and Manage Content on Tableau Server and Tableau Cloud | 9% | - Publish content
|
| Create Content | 26% | - Create stories
|
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NEW QUESTION # 117
A Data Analyst has the following table.
Overall Rank and Rank are calculated fields that use the RANK function.
The analyst filters out the Phones sub-category.
For which three sub-categories will the value of Rank change? Choose three.
Answer: C,F,G
Explanation:
RANK is a table calculation, and Tableau evaluates ordinary dimension filters before table calculations.
Filtering out Phones , which is the highest-sales Technology sub-category, removes that mark before Tableau recalculates Rank for the remaining Technology members. Machines therefore moves from Rank 2 to Rank 1, Accessories from Rank 3 to Rank 2, and Copiers from Rank 4 to Rank 3. The Furniture members-Chairs, Tables, Bookcases, and Furnishings-remain in their existing partition and therefore retain their current ranks.
Phones itself disappears rather than receiving a new displayed rank. Tableau documents RANK as ranking values within a partition and confirms through its order of operations that dimension filtering takes place before table calculations are evaluated. Therefore, Machines, Copiers, and Accessories are the three affected sub-categories.
NEW QUESTION # 118
You have the following dataset:
Which grouping option should you use in Tableau Prep to group all five names automatically?
Answer: A
Explanation:
Common Characters: Find and group values that have letters or numbers in common. This option uses the ngram fingerprint algorithm that indexes words by their unique characters after removing punctuation, duplicates, and whitespace. This algorithm works for any supported language. This option isn't available for data roles. For example, this algorithm would match names that are represented as "John Smith" and "Smith, John" because they both generate the key "hijmnost". Since this algorithm doesn't consider pronunciation, the value "Tom Jhinois" would have the same key "hijmnost" and would also be included in the group.
NEW QUESTION # 119
You publish a dashboard tut uses an attract. The extract refreshes every Monday at 10:00.
You need to ensure that the extract also refreshes on the last day of the month at 18:00.
What should you do?
Answer: C
Explanation:
To refresh an extract on Tableau Server, you need to select the workbook, select Refresh Extracts, and then add a new extract refresh. You can specify the frequency and time of the refresh, as well as any custom options. You can have multiple extract refreshes for the same workbook with different schedules. References:
https://help.tableau.com/current/server/en-us/refresh_extracts.htm https://help.tableau.com/current/server/en- us/refresh_extracts_add.htm On Tableau Server, you can manage the scheduling of extract refreshes by selecting the specific workbook and configuring additional refresh schedules as needed. This allows for multiple refresh triggers, such as the regular Monday at 10:00 AM schedule, as well as an additional trigger for the last day of the month at 18:00.
NEW QUESTION # 120
Open the link to Book1 found on the desktop. Open the Histogram worksheet and use the Superstone data source.
Create a histogram on the Quantity field by using bin size of 3.
Answer:
Explanation:
check the steps below in explanation.
Explanation:
To create a histogram on the Quantity field by using bin size of 3, you need to do the following steps:
* Open the link to Book1 found on the desktop. This will open the Tableau workbook that uses the Superstore data source.
* Click on the Histogram tab at the bottom of the workbook to open the Histogram worksheet. You will see a blank worksheet with no marks.
* Right-click on Quantity in the Measures pane and select Create Bins from the menu. This will open a dialog box that allows you to create bins for the Quantity field. Bins are groups of values that are treated as one unit in a histogram.
* Enter 3 in the Size of bins text box. This will set the bin size to 3, which means that each bin will contain values that are 3 units apart. For example, one bin will contain values from 0 to 2, another bin will contain values from 3 to 5, and so on.
* Click OK to create the bins. You will see a new field named Quantity (bin) in the Measures pane with a
# sign next to it.
* Drag Quantity (bin) from the Measures pane to Columns on the worksheet. This will create a histogram that shows the distribution of Quantity by bins. You will see bars that represent the frequency or count of values in each bin.
* Optionally, you can adjust the width, color, and labels of the bars by using the options on the Marks card. You can also add filters, tooltips, or annotations to enhance your histogram.
References: https://help.tableau.com/current/pro/desktop/en-us/histograms.htm https://help.tableau.com
/current/pro/desktop/en-us/calculations_bins.htm https://help.tableau.com/current/pro/desktop/en-us
/buildmanual_histograms.htm
NEW QUESTION # 121
You have the following dataset:
Which grouping option should you use in Tableau Prep to group all five names automatically?
Answer: A
Explanation:
Common Characters: Find and group values that have letters or numbers in common. This option uses the ngram fingerprint algorithm that indexes words by their unique characters after removing punctuation, duplicates, and whitespace. This algorithm works for any supported language. This option isn't available for data roles. For example, this algorithm would match names that are represented as "John Smith" and "Smith, John" because they both generate the key "hijmnost". Since this algorithm doesn't consider pronunciation, the value "Tom Jhinois" would have the same key "hijmnost" and would also be included in the group.
NEW QUESTION # 122
......
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