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Salesforce Analytics-DA-201 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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.
Topic 3	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 4	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.

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Salesforce Certified Tableau Data Analyst Sample Questions (Q138-Q143):

NEW QUESTION # 138
In which step of Tableau Prep Builder can a Data Analyst create a single table based on a matching pattern of multiple file names?

A. Input
B. Join
C. New Rows
D. Union

Answer: A

Explanation:
The matching-pattern capability is configured in an Input step in Tableau Prep Builder. When connecting to file-based data such as text files or Excel files, Tableau Prep can include multiple files and create an input union by using wildcard or matching-pattern criteria. This allows similarly named files to be combined into a single table as they are brought into the flow. A separate Union step combines already-added tables or inputs, but the question specifically asks where a single table can be created from a matching pattern of multiple file names. Join combines tables based on key fields, while New Rows generates missing sequential records.
Because wildcard file matching is part of the file-ingestion configuration, Input is the correct step.

NEW QUESTION # 139
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?

A. Bring in the secondary table as a left join to the primary data source. From the Data Source page, select Create Calculated Field in the Dorm_Name field and enter [Dcrm_Name_New] in the calculation window
B. Create a data blend and select Edit Primary Aliases to replace the primary data source alias values with values from the secondary data source
C. Bring in the secondary data source as a union.
D. Bring in the secondary data source by using relationships. From the Data pane, right-click Dorm_Name select Replace References, and then select Dorm_Name_New

Answer: D

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 # 140
When using the INCLUDE Level of Detail (LOD) calculation, where should the dimension referenced by the INCLUDE function be located on the sheet?

A. Not in the View
B. Filters Shelf
C. Rows or Columns Shelf
D. Marks Card

Answer: A

Explanation:
An INCLUDE LOD expression is specifically useful when a calculation must incorporate a finer-grained dimension that is not already present in the visualization. INCLUDE adds the specified dimension to the level of detail established by the dimensions currently in the view, calculates the expression at that finer grain, and then allows Tableau to reaggregate the result at the view's level. For example, { INCLUDE [Customer Name]
: SUM([Sales] ) } can calculate sales per customer even when Customer Name itself is absent from the displayed view. If the dimension is already present in the view, INCLUDE generally adds no additional granularity for that field. The dimension does not specifically need to reside on the Marks card, Rows
/Columns shelves, or Filters shelf. Therefore, Not in the View is the correct answer.

NEW QUESTION # 141
You have a workbook that connects to a database. The database requires authentication.
You plan to publish the workbook and schedule a daily refresh of the data.
Which two conditions must be met to schedule the refresh? Choose two.

A. The data source must use a live connection.
B. The credentials must be embedded.
C. The data must be extracted.
D. The data source must be stored as a hyper file.

Answer: B,C

NEW QUESTION # 142
A Data Analyst has the following dashboard.

Currently, the map is used as a filter that affects the data on the other sheets of the dashboard.
The analyst needs to configure the dashboard to ensure that selecting a data point on the map only filters the Detail table.
What should the analyst do?

A. Select Ignore Actions from the drop-down menu of Sales over time.
B. Select Remove Dashboard Item from the drop-down menu of Sales over time.
C. Select Deselect from the drop-down menu of Sales over time.
D. Deselect Use as Filter from drop-down menu of Profits by State

Answer: A

NEW QUESTION # 143
......

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