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Salesforce Analytics-DA-201 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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.

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

NEW QUESTION # 138
A Data Analyst creates the following story that contains two story points.

The analyst wants to change the story point format to show the current story point number out of the total number of story points.
Which Layout option should the analyst use?

Answer: C


NEW QUESTION # 139
You have a data source that contains data tor every city in the Unites States. The following is a sample of the data.

You need to use the City dimension to create a dynamic filter that snows the cities that have a population greater than one million Which type of filter should you use?

Answer: C

Explanation:
To use the City dimension to create a dynamic filter that shows the cities that have a population greater than one million, you should use a condition filter. A condition filter is a type of filter that shows only the values that meet a specified condition based on a measure or a calculation. You can create a condition filter by dragging a dimension to the Filters shelf and selecting Condition from the dialog box. Then you can enter a formula or choose an option that defines your condition.
In this case, you want to create a condition filter based on Population, which is a measure. You can drag City to the Filters shelf and select Condition from the dialog box. Then you can choose By field from the tab and select Population > Sum > Greater than > 1000000 from the drop-down lists. This will create a condition filter that shows only the cities that have a sum of population greater than one million.
The other options are not correct for this scenario. A general filter is not a specific type of filter, but a term that refers to any type of filter in Tableau. A wildcard filter is a type of filter that shows only the values that match a specified pattern or string, such as "New*" or "*ton". A top filter is a type of filter that shows only the top or bottom N values of a measure or dimension based on a ranking or an aggregation. References:
https://help.tableau.com/current/pro/desktop/en-us/filtering.htm https://help.tableau.com/current/pro/desktop
/en-us/filtering_condition.htm https://help.tableau.com/current/pro/desktop/en-us/filtering_wildcard.htm
https://help.tableau.com/current/pro/desktop/en-us/filtering_topn.htm


NEW QUESTION # 140
A Data Analyst creates a parameter named Choose Region that contains values from a field named Region.
The analyst wants users to be able to use the Choose Region parameter to interact with a chart by toggling between different regions.
What should the analyst do next?

Answer: D


NEW QUESTION # 141
You have the Mowing two tables that contains data about the books in a library.
Both tables are incomplete so there are books missing from the tables.
You need to combine the tables. The solution must ensure that all the data is retained Which type of join should you use?

Answer: B

Explanation:
To combine the two tables that contain data about books in a library and ensure that all the data is retained, you should use a full outer join. A full outer join is a type of join that returns all rows from both tables, regardless of whether there is a match or not. If there is no match, null values are filled in for the missing fields.
To perform a full outer join, you need to do the following steps:
* Connect to both tables as your data sources in Tableau. You can use either live or extract connections.
* Drag one table to the canvas and drop it on top of another table. This will create a join between them based on a common field.
* Click on the join icon between the tables and select Full Outer Join from the drop-down list. This will change the join type to full outer join and show all rows from both tables.
* Optionally, you can add or remove join clauses by clicking on Add or Remove buttons next to each clause. You can also change or rename fields by clicking on them.
The other types of joins are not correct for this scenario. An inner join returns only the rows that have a match in both tables, which will exclude any books that are missing from either table. A left join returns all rows from the left table and only the matching rows from the right table, which will exclude any books that are only in the right table. A right join returns all rows from the right table and only the matching rows from the left table, which will exclude any books that are only in the left table. References: https://help.tableau.com
/current/pro/desktop/en-us/joining_tables.htm https://help.tableau.com/current/pro/desktop/en-us/join_types.
htm
When combining two datasets that are both incomplete and where it's important to retain all data from both sources, a full outer join is appropriate. This type of join ensures that all records from both tables are included in the combined dataset, even if there are no matching records in the other table.


NEW QUESTION # 142
You have the following chart that shows the cumulative of sales from various dates.

You want the months to appear as shown in the following chart.

What should you do?

Answer: A

Explanation:
References: https://help.tableau.com/current/pro/desktop/en-us/dates.htm https://help.tableau.com/current/pro
/desktop/en-us/dates_continuous.htm https://help.tableau.com/current/pro/desktop/en-us/formatting.htm To ensure the dates are shown in a continuous axis, you should convert the date to a continuous field. This will display the months in a sequence without any breaks, which is needed for showing a trend over time like the cumulative sum of sales.


NEW QUESTION # 143
......

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