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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
Exam Format:Multiple choice, Proctored online or onsite, Multiple select
Passing Score:Not publicly disclosed (scaled scoring system)
Exam Price:$200 USD (may vary by region)
Certificate Validity Period:Maintenance required annually via Salesforce certification maintenance program
Related Certifications:Tableau Desktop Specialist
Tableau Certified Data Analyst (legacy naming variants)
Exam Duration:105 minutes
Available Languages:English
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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2026 Analytics-DA-201 – 100% Free Latest Cram Materials | Valid Exam Salesforce Certified Tableau Data Analyst Questions Answers

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Salesforce Analytics-DA-201 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 (Q93-Q98):

NEW QUESTION # 93
What happens within Tableau Prep Builder when a Data Analyst selects Publish as Data Source for a flow output step?

Answer: B

Explanation:
Selecting Publish as Data Source on a Tableau Prep output step causes the output of that step to be published as a Tableau data source on Tableau Server or Tableau Cloud. Tableau's current interface refers to this destination as a Published data source, while older versions used the wording shown in the question. The analyst chooses the target server or site, project, and output name. This is different from publishing the Prep flow itself: a flow and its output data source are separate Tableau content objects. It also does not simply save the output locally or write the resulting data directly back to the originating database. Consequently, option D correctly distinguishes publishing the output as a reusable server-based data source from publishing the entire flow.


NEW QUESTION # 94
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?

Answer: B


NEW QUESTION # 95
You have the following two datasets:
* A Microsoft Excel worksheet that has two columns named Employee Name and Department
* A Microsoft SQL Server table that has three columns named Employee Name. Pay Grade and Team Size.
You want to use Tableau Prep to join the two datasets.
Which three actions should you perform in order? (Place the three correct options in order.)

Answer:

Explanation:

Explanation:
The correct order of the three actions is:
* From the connections pane, connect to both data sources
* Join both datasets and select the join type
* Specify Employee Name as the join key
The first action is to connect to both data sources from the connections pane in Tableau Prep. The connections pane is where you can access and add data sources to your flow. You can connect to various types of data sources, such as Excel, SQL Server, or Tableau Server. In this case, you want to connect to an Excel worksheet and a SQL Server table.
The second action is to join both datasets and select the join type. A join is a way of combining data from two or more tables based on a common field. You can join datasets by dragging one table to the canvas and dropping it on top of another table. This will create a join step in your flow. You can select the join type from the drop-down list on the join step. The join type determines which rows are returned from the tables.
The third action is to specify Employee Name as the join key. A join key is a field that is used to match rows from different tables. You can specify the join key by clicking on the field name in each table and dragging it to the center of the join step. This will create a join clause that shows the field name and the operator. In this case, you want to use Employee Name as the join key, because it is a common field between the two datasets.
The other options are not relevant for this scenario. Specifying Department and Team Size as a join condition will not work, because they are not common fields between the two datasets. Opening both data sources in Tableau Desktop will not help you join them in Tableau Prep. Adding a step to aggregate the data in the SQL Server table will not affect the join, but it may change the level of detail of your data. References: https://help.
tableau.com/current/prep/en-us/prep_connect.htm https://help.tableau.com/current/prep/en-us/prep_join.htm
https://help.tableau.com/current/prep/en-us/prep_join_types.htm


NEW QUESTION # 96
From Tableau Desktop, a Data Analyst signs in to a site within Tableau Server.
What appears in the list of available data sources when the analyst searches for a published data source?

Answer: D

Explanation:
Published data sources are shown according to the user's access within the Tableau site, not simply because the sources exist somewhere on the server. Tableau permissions govern whether a user can discover and connect to published data sources, and the Connect capability is specifically required for ordinary users to work with a published source. Site boundaries also matter: Tableau Server can host multiple sites, and content from another site is not automatically exposed to a signed-in user. Therefore, the best choice is that the list contains the data sources the analyst has access to within the current site. Options that describe every source on the whole Tableau Server are too broad, while restricting results to a particular project state is not the general rule.


NEW QUESTION # 97
You have the following dataset:

You want to create a parameter to dynamically filter the data to produce the following results.

Which two types of parameters can you use to produce the results? Choose two.

Answer: A,D

Explanation:
In the context of filtering data in Tableau, both string and integer parameters can be used to dynamically filter data. A string parameter can be used to filter text-based values, while an integer parameter is suitable for numerical values. In the provided dataset and result URLs, it appears that a unique identifier or key (which could be a string or integer) is being used to filter specific data entries. References: The information is based on the following sources:
* An Introduction to Parameters in Tableau
* Create Parameters - Tableau


NEW QUESTION # 98
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