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>> Analytics-DA-201 Latest Material <<
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NEW QUESTION # 29
A Data Analyst has the following dataset that contains sales for the month of May.
The analyst plans to create a data extract from the dataset. The analyst wants to extract data only from stores that have $500 or more in total sales.
What should the analyst do?
Answer: B
Explanation:
The requirement is based on total sales by store, so the filter must operate on the Store Number dimension while evaluating an aggregated Sales condition. Tableau dimension filters provide a Condition tab that can retain dimension members according to an aggregate measure, for example SUM([Sales]) > = 500. Applying that logic as an extract filter ensures that only qualifying store members are included in the resulting extract.
Filtering the Sales measure by an "at least" row-level value would incorrectly evaluate individual records rather than each store's total. A Top filter ranks members and is intended for top or bottom N selection, not for a fixed minimum total. Therefore, the analyst should filter Store Number by a condition based on Sales, which corresponds to option B.
NEW QUESTION # 30
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?
Answer: C
Explanation:
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.
NEW QUESTION # 31
You have the following primary data source that contains a dimension named Dorm_Code.
You receive the following secondary data source that contains updated dorm codes.
You need to bring the updated dorm codes into Tableau and use the codes in existing visualizations. The new dorm codes must use the existing field name of Dorm_Code.
What should you do?
Answer: C
Explanation:
* Using relationships: You can use relationships to link the secondary data source with the primary data source based on a common field. This will allow you to use fields from both data sources in your visualization without creating new fields or duplicating data. You can then replace references to update the dimension values. For example, you can use relationships to link the updated dorm codes with the primary data source and then replace Dorm_Code with Dorm_Code_New in your visualization.
https://community.tableau.com/s/question/0D54T00000C5ldZSAR/update-data-view-based-on-dimension To update existing visualizations with new codes without changing the field name, using relationships to bring in the secondary data source is appropriate. Then using Replace References allows you to update the references from the old dorm codes to the new ones while maintaining the existing field name.
NEW QUESTION # 32
You have the following tiled dashboard that has one sheet.
You want to replace the sheet with Sheet2.
What should you do?
Answer: B
Explanation:
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 where the current sheet (Sheet3) is. This will replace the existing visualization with the new one.
NEW QUESTION # 33
You create a parameter named Choose Region fiat contains values from a field named Region.
You want users to be able to use the Choose Region parameter to interact with a chart by logging between different regions What should you do next?
Answer: B
Explanation:
https://kb.tableau.com/articles/howto/filtering-data-with-a-parameter?lang=fr-fr After creating a parameter named Choose Region, you want to use it to filter the chart based on the user's selection. To do this, you would create a calculated field with the formula [Region] = [Choose Region] and add this calculated field to the Filters card. This will dynamically filter the chart to display data only for the region that matches the user's selection in the Choose Region parameter.
NEW QUESTION # 34
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