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NEW QUESTION # 19
You have the following table.
You need each record to alternate between grey and white.
What should you change in the Format Shading pane?
Answer: A
Explanation:
To have each record alternate between grey and white, you should change the row banding size to 1 in the Format Shading pane. This setting will ensure that each row has a different shading from the one above and below it, creating an alternating pattern of grey and white rows. References: The answer can be verified through practical application within Tableau or by consulting Tableau's official learning resources, such as Tableau Help: Format Shading or Tableau Training Pass: Formatting .
NEW QUESTION # 20
Which function should a Data Analyst use to aggregate total regional sales for a dataset regardless of what is in the view?
Answer: D
Explanation:
FIXED is the Level of Detail scoping keyword designed to compute an aggregation using explicitly specified dimensions without reference to the dimensions currently present in the view. For regional totals, an expression such as {FIXED [Region] : SUM([Sales] )} calculates sales at the Region level even when the visualization includes additional dimensions such as State or Customer. INCLUDE adds a dimension to the view's level of detail, while EXCLUDE removes specified view dimensions; both therefore depend on the view context. SUM by itself is a standard aggregate and operates at the current visualization level of detail.
Because the requirement states that total regional sales must be calculated regardless of what is in the view, FIXED provides the necessary view-independent level of detail.
NEW QUESTION # 21
You have the following two datasets:
* A Microsoft Excel worksheet that has two columns named Employee Name and Department
* A Microsoft SQL Server table that has three columns named Employee Name. Pay Grade and Team Size.
You want to use Tableau Prep to join the two datasets.
Which three actions should you perform in order? (Place the three correct options in order.)
Answer:
Explanation:
The correct order of the three actions is:
* From the connections pane, connect to both data sources
* Join both datasets and select the join type
* Specify Employee Name as the join key
The first action is to connect to both data sources from the connections pane in Tableau Prep. The connections pane is where you can access and add data sources to your flow. You can connect to various types of data sources, such as Excel, SQL Server, or Tableau Server. In this case, you want to connect to an Excel worksheet and a SQL Server table.
The second action is to join both datasets and select the join type. A join is a way of combining data from two or more tables based on a common field. You can join datasets by dragging one table to the canvas and dropping it on top of another table. This will create a join step in your flow. You can select the join type from the drop-down list on the join step. The join type determines which rows are returned from the tables.
The third action is to specify Employee Name as the join key. A join key is a field that is used to match rows from different tables. You can specify the join key by clicking on the field name in each table and dragging it to the center of the join step. This will create a join clause that shows the field name and the operator. In this case, you want to use Employee Name as the join key, because it is a common field between the two datasets.
The other options are not relevant for this scenario. Specifying Department and Team Size as a join condition will not work, because they are not common fields between the two datasets. Opening both data sources in Tableau Desktop will not help you join them in Tableau Prep. Adding a step to aggregate the data in the SQL Server table will not affect the join, but it may change the level of detail of your data. References: https://help.
tableau.com/current/prep/en-us/prep_connect.htm https://help.tableau.com/current/prep/en-us/prep_join.htm
https://help.tableau.com/current/prep/en-us/prep_join_types.htm
NEW QUESTION # 22
A Data Analyst has the following chart that shows the sum of sales made in different cities.
The analyst wants to show the average sale amount for a city when users hover their mouse over any of the bars.
What should the analyst do?
Answer: B
NEW QUESTION # 23
A Data Analyst has the following two tables named Orders and Returns.
The analyst needs to get the Customer ID and Customer Name for only the orders that were returned. Orders will be the leading table.
Which type of join should the analyst perform in Tableau Prep?
Answer: A
NEW QUESTION # 24
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