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Salesforce Analytics-DA-201 Exam Overview:

Certification Vendor:	Salesforce
Exam Name:	Salesforce Certified Tableau Data Analyst Exam
Exam Number:	Analytics-DA-201
Available Languages:	English
Passing Score:	Not publicly disclosed (scaled scoring system)
Exam Duration:	105 minutes
Exam Format:	Proctored online or onsite, Multiple select, Multiple choice
Exam Price:	$200 USD (may vary by region)
Related Certifications:	Tableau Desktop Specialist Tableau Certified Data Analyst (legacy naming variants)
Certificate Validity Period:	Maintenance required annually via Salesforce certification maintenance program
Real Exam Qty:	Approximately 30–60 (varies, not officially fixed)
Recommended Training:	Tableau Training and Tutorials Tableau Data Analyst Learning Path (Trailhead)
Exam Registration:	Salesforce Certification Registration Kryterion Webassessor Exam Scheduling
Sample Questions:	Salesforce Analytics-DA-201 Sample Questions
Exam Way:	Online proctored exam or onsite testing center
Pre Condition:	No formal prerequisites required, but experience with Tableau and data analysis is strongly recommended
Official Syllabus URL:	https://trailhead.salesforce.com/credentials/tableau-data-analyst

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Analytics-DA-201 Lerntipps - Analytics-DA-201 Fragenpool

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Salesforce Analytics-DA-201 Prüfungsplan:

Thema	Einzelheiten
Thema 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.
Thema 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.
Thema 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.
Thema 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.

Salesforce Certified Tableau Data Analyst Analytics-DA-201 Prüfungsfragen mit Lösungen (Q173-Q178):

173. Frage
A Data Analyst has the following worksheet, with Profit data for Categary and Sub-Categury.

The analyst executed the following calculated field at the Total level:
COUNTD( IF ( INCLUDE [Sub-Category]: SUM([Profit]) < 0 THEN [Category] END ) What is the result?

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

Antwort: D

174. Frage
A Data Analyst has the following dataset that contains null values in the Profits field.

The analyst wants each null Profit value to appear as 0.
Which two formulas achieve this goal? Choose two.

A. ZN([Profits])
B. ISNULL([Profits])
C. IF [Profits] != NULL THEN [Profits] END
D. IFNULL([Profits], 0)

Antwort: A,D

Begründung:
Both IFNULL and ZN can replace null numeric values with zero. IFNULL([Profits], 0) returns the Profit value when it is non-null and explicitly returns 0 when the field is null. ZN([Profits] ) is a specialized null- handling function that returns the original expression when a value exists and zero when it is null. Tableau's documentation specifically describes ZN as useful for replacing null numeric values with zeros. ISNULL ([Profits]) returns a Boolean TRUE/FALSE result rather than a numeric replacement. Option C is also inappropriate because nulls cannot be reliably tested by ordinary equality or inequality comparisons; Tableau supplies ISNULL for that purpose, and the proposed formula does not substitute zero. Therefore, A and D both produce the required numeric result while retaining existing non-null Profit values.

175. Frage
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.)

A. Sellers of 2024
B. Customers of 2024
C. Top N Products
D. Top N Customers

Antwort: B,D

176. Frage
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?

A. Inner join
B. left join
C. Full outer join
D. Right join

Antwort: C

Begründung:
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.

177. Frage
How should a Data Analyst sort data by Sales across multiple dimensions in Tableau?

A. Use the Group feature to combine dimensions and then sort the grouped field.
B. Right-click on the rightmost dimension, choose Sort, then select nested in the options.
C. Use the Sets feature to combine dimensions and then sort one of the fields.
D. Right-click on each dimension, choose Sort, then select data source order in the options.

Antwort: B

178. Frage
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