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Salesforce Analytics-DA-201 Exam Syllabus Topics:

TopicDetails
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
  • 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 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 (Q10-Q15):

NEW QUESTION # 10
You have the following dashboard.

From the context menu of Sales over time, select Ignore Actions.
Several Lays later, you decide that you want to filter both Sales over time and Detail table by selecting a data point on the map.
What should you do?

Answer: C


NEW QUESTION # 11
A Data Analyst has the following dataset.

Which grouping option should the analyst use in Tableau Prep to group all five names automatically?

Answer: D

Explanation:
Common Characters is appropriate because the five values contain essentially the same characters but differ in capitalization, punctuation, separators, and-in one case-the order of the first and last names. Tableau Prep's Common Characters fuzzy-matching algorithm removes punctuation, duplicates, and whitespace before evaluating the character fingerprint. Tableau specifically documents that values such as "John Smith" and "Smith, John" can be matched by this technique because their characters are equivalent despite being reordered. Pronunciation is intended for values that sound alike, while Spelling uses edit-distance similarity and is better suited to typographical variations. Manual Selection would require the analyst to choose the values explicitly instead of grouping them automatically. Therefore, B is the verified answer.


NEW QUESTION # 12
What is required to publish a data source to Tableau Server or Tableau Cloud from Tableau Desktop?

Answer: A

Explanation:
Publishing a new data source from Tableau Desktop requires publishing rights that are available with a Creator site role, together with the necessary project capabilities. Tableau documents Creator as the site role that provides full connection and publishing access from Tableau Desktop, including the ability to create and publish data sources, workbooks, and flows. Server administrator rights are not required for ordinary publishing. A Tableau Public account applies to Tableau Public rather than publishing governed content to Tableau Server or Tableau Cloud. View permission alone is also insufficient because viewing an existing project or workbook does not grant the Save and publish capabilities needed to create a new published data source. Therefore, among the listed choices, a Creator site role is the required condition.


NEW QUESTION # 13
A Data Analyst is frequently asked to report on events that have a single row per day but may have missing days in the dataset. The analyst needs to fill the gaps in the data between two dates.
What should the analyst use to do this in Tableau Prep?

Answer: D

Explanation:
Tableau Prep provides a New Rows step specifically for filling gaps in sequential numeric or date data. When a dataset should contain one record per day but some dates are absent, New Rows can generate the missing date records between existing dates or within a defined range. The analyst can set the increment to one day and choose how other fields in the generated records are populated, such as Null, zero, or values copied from the previous row. Union combines rows from separate tables, Pivot reshapes columns and rows, and Aggregate changes the level of detail by grouping records. None of those operations is designed to manufacture missing dates in a sequence. Therefore, New Rows is the correct Tableau Prep operation for this requirement.


NEW QUESTION # 14
You have a Tableau Prep flow that joins a dataset named Global Indicators to a dataset named Price Indices.
In which step can you transform rows of monthly data into rows of yearly data''

Answer:

Explanation:


NEW QUESTION # 15
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