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Salesforce Analytics-DA-201 Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified Tableau Data Analyst
Exam Number:Analytics-DA-201
Related Certifications:Salesforce Certified Tableau Consultant
Salesforce Certified Tableau Server Administrator
Certificate Validity Period:2 years
Real Exam Qty:60-65
Available Languages:Japanese, English
Exam Price:USD 200
Passing Score:65%
Exam Duration:105 minutes
Exam Format:Multiple Select, Multiple Choice
Sample Questions:Salesforce Analytics-DA-201 Sample Questions
Exam Way:Online proctored exam or test center delivery
Pre Condition:No formal prerequisites
Official Syllabus URL:https://help.salesforce.com/s/articleView?id=005298984&language=en_US&type=1

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The Platform Salesforce Certified Tableau Data Analyst Analytics-DA-201 Exam credential makes it simple to renew your skills and knowledge to keep up with the latest trends. The Platform Salesforce Certified Tableau Data Analyst Analytics-DA-201 exam certification is a worthwhile, internationally accepted industry credential. You can become a recognized specialist in addition to learning new technological needs and honing your abilities.

Salesforce Analytics-DA-201 Exam Syllabus Topics:

TopicDetails
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
  • 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
  • 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 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.

Salesforce Certified Tableau Data Analyst Sample Questions (Q188-Q193):

NEW QUESTION # 188
A Data Analyst has received a request to provide a dashboard related to employee time logs. The employees are entering their time using mobile devices throughout the day and data is stored in a cloud-based database.
The end users would like to receive data on their dashboard in as close to real-time as possible.
How should the analyst best create a data source to meet these requirements?

Answer: A


NEW QUESTION # 189
A Data Analyst has the following chart that shows the number of song downloads per year since the release of the song.

The required result is a cumulative progression of downloads across the years.
Which quick table calculation should the analyst use?

Answer: A

Explanation:
A Running Total accumulates the measure sequentially across the addressing dimension. With Year on Columns and SUM(Downloads) in the view, Tableau starts with the first year ' s downloads and progressively adds each subsequent year ' s value to the accumulated total. The resulting bars therefore represent all downloads received up to each year since release rather than the downloads for that individual year alone.
YTD Total is intended for accumulation within a calendar year and commonly restarts with the new year.
Percent of Total expresses each value as a proportion of the full partition, while Year Over Year Growth compares the relative change between consecutive annual values. Tableau lists Running Total as a standard quick table calculation specifically for cumulative analysis. Therefore, B is the appropriate calculation.


NEW QUESTION # 190
You have the following dataset.
You plan to create a dashboard that will be filtered to show only data that is relevant to a specific Tableau user based on the Tableau_User_Name field You need to create a boolean calculated field to place on the data source finer Which formula should you use for the filter?

Answer: B

Explanation:
To create a boolean calculated field to place on the data source filter, you should use the formula USERNAME() = [Tableau_user]. This formula will return TRUE if the current Tableau user name matches the value in the Tableau_user field, and FALSE otherwise. You can use this formula as a data source filter by dragging it to the Filters shelf and selecting TRUE from the menu. This will filter the data to show only the rows that are relevant to the specific Tableau user.
The other options are not correct for this scenario. NAME([Tableau_user]) is not a valid function in Tableau.
ISFULLNAME([Tableau_user]) = USERNAME() is not a valid expression in Tableau. 'S' + STR([Sales]
/1000) is not a boolean expression, but a string expression that converts sales to thousands with a prefix of
"S". References: https://help.tableau.com/current/pro/desktop/en-us/filtering_datasource.htm https://help.
tableau.com/current/pro/desktop/en-us/functions_functions_logical.htm#USERNAME https://help.tableau.
com/current/pro/desktop/en-us/calculations_calculatedfields.htm
In Tableau, the USERNAME() function returns the username of the user who is currently logged in. To create a filter that only shows data relevant to the logged-in Tableau user, a boolean calculated field can be created to compare the current username with the usernames listed in the Tableau_User_Name field of the dataset. Therefore, the correct formula for this filter is USERNAME() = [Tableau_USER_NAME], which will return true for rows where the Tableau_User_Name matches the current user's username.


NEW QUESTION # 191
A Data Analyst has the following sets in a Tableau workbook:
* Top N Customers
* Customers of 2024
* Top N Products
* Sellers of 2024
Which two sets can the analyst combine? (Choose two.)

Answer: A,D


NEW QUESTION # 192
When using the INCLUDE Level of Detail (LOD) calculation, where should the dimension referenced by the INCLUDE function be located on the sheet?

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 # 193
......

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