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Salesforce Analytics-DA-201 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Publish and Manage Content on Tableau Server and Tableau Cloud: This section covers publishing workbooks, data sources, and flows to Tableau Server or Cloud for sharing and collaboration. It also includes managing content through scheduling refreshes, setting permissions, and creating alerts, subscriptions, and custom views.
Topic 2
  • Connect To and Transform Data: This domain focuses on connecting to various data sources such as files, databases, and published sources, while deciding between live and extract connections. It also covers preparing, cleaning, transforming, and organizing data using Tableau features and Tableau Prep to ensure it is ready for accurate analysis.
Topic 3
  • Explore and Analyze Data: This section covers creating calculations, applying filters, parameters, and structuring data to explore insights effectively. It also includes advanced analysis techniques such as table calculations, LOD expressions, forecasting, and geographic mapping to derive meaningful patterns and trends.
Topic 4
  • Create Content: This domain involves building visualizations like charts, dashboards, and stories to present data insights clearly. It also focuses on adding interactivity, formatting, and designing responsive dashboards to enhance user experience and data communication.

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Salesforce Certified Tableau Data Analyst Sample Questions (Q10-Q15):

NEW QUESTION # 10
You have the following worksheet.

Answer:

Explanation:


NEW QUESTION # 11
You want to create the following table in a view.

Which function should you use to create the Position column?

Answer: A

Explanation:
To create the Position column, you should use the FIRST () function. The FIRST () function returns the number of rows from the current row to the first row in the partition. For example, the first row in a partition will return 0, the second row will return -1, and so on. In this question, the partition is defined by the Segment field, and the table is sorted by the Sales field in descending order. Therefore, the Position column shows the offset of each row from the first row in each segment, based on the sales ranking. References:
* Tableau Certified Data Analyst Exam Prep Guide, page 11, section "Creating Calculated Fields"
* Tableau Help: FIRST Function


NEW QUESTION # 12
Which function should a Data Analyst use to aggregate total regional sales for a dataset regardless of what is in the view?

Answer: B

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 # 13
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 # 14
A Data Analyst applied a dimension filter to a worksheet with FIXED Level of Detail (LOD) calculations.
How does this filter affect the worksheet?

Answer: A

Explanation:
A standard dimension filter is evaluated after a FIXED Level of Detail expression in Tableau's order of operations. FIXED LOD calculations establish their result using the dimensions specified in the expression without reference to the dimensions currently in the view, and they are computed before ordinary dimension filters. Consequently, applying a normal dimension filter changes which marks or records are displayed in the worksheet, but it does not recalculate the FIXED result based on that filter. If the analyst needs the filter to affect the FIXED LOD, the filter can be promoted to a context filter because context filters are evaluated earlier. The question specifies only a dimension filter, so the correct behavior is that the displayed data changes while the FIXED LOD calculation remains unaffected.


NEW QUESTION # 15
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