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Salesforce Analytics-DA-201 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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.

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Salesforce Certified Tableau Data Analyst Sample Questions (Q70-Q75):

NEW QUESTION # 70
A Data Analyst is working with the following dataset.

The analyst is trying to build a box plot showing the distribution of discounts offered to different vendors. The desired box plot and the analyst's current result are shown below.

The analyst has dragged Vendor onto Rows and Discount onto Columns, added a reference line, and selected Box Plot without changing any default configuration settings.
Which action does the analyst need to take next to achieve the desired box plot?

A. Change AVG(Discount) field aggregation to Count Distinct.
B. Convert AVG(Discount) field to Discrete.
C. Allow whiskers to extend to the maximum extent of the data.
D. Add Invoice Number to the Marks card Detail shelf.

Answer: D

Explanation:
The current view contains only one aggregated Discount mark for each Vendor, so Tableau does not have enough individual marks within each vendor partition to calculate a meaningful distribution. Adding Invoice Number to Detail increases the level of detail so that each invoice contributes an individual Discount mark while Vendor remains the grouping dimension. Tableau can then calculate quartiles, median, whiskers, and outliers from the underlying distribution. Tableau's box-plot guidance lists a dimension on Detail as one of the fundamental building blocks of a box-and-whisker plot. Changing the whisker configuration would affect how an already valid distribution is displayed but would not create the missing observations. Count Distinct and converting Discount to discrete would alter the analytical meaning rather than establish the correct mark granularity. Therefore, B is correct.

NEW QUESTION # 71
You have the following visualization.

You want the count of Returns displayed only for the first year in the table.
How should you complete the formula in the calculated field? (Use the dropdowns in the Answer Area to select the correct options to complete the formula.)

Answer:

Explanation:

Explanation:
we need to create a calculated field that displays the count of returns only for the first year in the table. To do this, we can use the following formula:
IF FIRST () = 0 THEN COUNT (Returns) END
This formula uses the FIRST () function, which returns the number of rows from the current row to the first row in the partition. If the current row is the first row, then FIRST () returns 0. The IF statement checks if this condition is true, and if so, it returns the count of returns for that row. Otherwise, it returns NULL.
To complete the formula in the calculated field, you should select the following options from the drop-down menus:
* FIRST ()
* 0
* COUNT (Returns)
https://help.tableau.com/current/pro/desktop/en-us/functions_functions_date.htm

NEW QUESTION # 72
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 data source as a union.
B. 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
C. Create a data blend and select Edit Primary Aliases to replace the primary data source alias values with values from the secondary data source
D. 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

Answer: B

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 # 73
A Data Analyst has the following dataset in Microsoft Excel.

The analyst is using Data Interpreter to cleanse the dataset. Data Interpreter provides the following results.

How many rows of data will be ingested into Tableau as values?

A. 0
B. 1
C. 2
D. 3

Answer: B

NEW QUESTION # 74
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?

A. Right-click on SUM(Sales) in the Columns and change Aggregation to Average.
B. Drag Sales to Tooltip on the Marks card and modify the Tooltip text.
C. Right-click on SUM(Sales) in the Columns and select Include in Tooltip.
D. Drag Sales to Tooltip on the Marks card and change Aggregation to Average.

Answer: D

NEW QUESTION # 75
......

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