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Salesforce Analytics-DA-201 Prüfungsplan:

ThemaEinzelheiten
Thema 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.
Thema 2
  • 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 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.
Thema 4
  • 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.

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Salesforce Certified Tableau Data Analyst Analytics-DA-201 Prüfungsfragen mit Lösungen (Q115-Q120):

115. Frage
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?

Antwort: B

Begründung:
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.


116. Frage
What is a key benefit of using parameter actions in Tableau?

Antwort: B

Begründung:
Parameter actions allow a user to change a parameter value by directly interacting with marks in a visualization, such as by selecting or hovering over a mark. When that parameter is referenced by a calculated field, changing the parameter immediately changes the calculation ' s result and therefore the information displayed in the visualization. This enables highly interactive experiences without requiring the user to manipulate a separate parameter control. Tableau also supports parameter actions with reference lines, filters, and SQL queries. The action does not literally convert a parameter into a filter, nor does it create a static view or restrict interaction to predefined filters. Therefore, D best represents the advantage tested here: selections in the visualization can dynamically update parameter-driven calculations and consequently change the displayed analysis.


117. Frage
You have the following visualization.
You Create a table calculation named Rank_Score that has a formula of RANK(AVG([Score]), and you drag Rank_Score to Text on the Marks cards.
What is the Rank Score value for Student ID 4220?

Antwort: B

Begründung:
To determine the Rank Score value for Student ID 4220, we look at the visualization provided and apply the table calculation of RANK(AVG([Score])). This function will rank the average scores in ascending order by default, with the lowest score receiving the rank of 1.
Based on the provided visualization, the scores for the students are as follows (from lowest to highest average score):
* Student ID 4183: 39 (Rank 1)
* Student ID 4220: 71 (Rank 6)
* Student ID 4247: 71 (Rank 6, same score as ID 4220 so they share the same rank)
* Student ID 4124: 75.5
* Student ID 4050: 64
* Student ID 4205: 67
* Student ID 4056: 66
Since Student ID 4220 has an average score of 71, which is the third-highest score, it shares the rank with Student ID 4247. However, since Tableau ranks without gaps, the actual rank assigned is 6, considering that there are two students with a rank of 4 (due to the same average score being the second lowest), making the next rank number 6.
Note: The actual ranks for the highest scores are not provided, but they are not needed to determine the rank for Student ID 4220.
https://help.tableau.com/current/prep/en-us/prep_calculations.htm


118. Frage
You want to create the following dashboard that will contain two sheets.

What should you do?

Antwort: D


119. Frage
A colleague provides you with access to a folder that contains the following files:
* Sates.csv
* Bookl.twb
* Sates.hyper
* Export.mdb
Which He contains an extract?

Antwort: D

Begründung:
A .hyper file is an extract file that contains a snapshot of data from a data source. It is a compressed and optimized file format that can be used to improve the performance and portability of dashboards and workbooks. A .twb file is a workbook file that contains the visualization and connection information, but not the data itself. A .csv file is a comma-separated values file that contains plain text data. A .mdb file is a Microsoft Access database file that contains tables, queries, forms, and other objects. References: https://help.
tableau.com/current/pro/desktop/en-us/save_savework_packagedworkbooks.htm https://help.tableau.com
/current/pro/desktop/en-us/extracting_data.htm https://help.tableau.com/current/pro/desktop/en-us
/examples_csv.htm https://support.microsoft.com/en-us/office/introduction-to-access-database-files-9f9a0f8c-
9a3c-4a0b-8e6c-6d1f1f7c2b7e
In Tableau, a .hyper file is an extract file created by the Hyper database engine. It contains a snapshot of the data pulled into Tableau and is used to perform data analysis without the need for a live connection to the data source.


120. Frage
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