Analytics-DA-201 Ressourcen Prüfung - Analytics-DA-201 Prüfungsguide & Analytics-DA-201 Beste Fragen

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Salesforce Analytics-DA-201 Prüfungsplan:

ThemaEinzelheiten
Thema 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.
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
  • 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 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.

>> Analytics-DA-201 Zertifizierung <<

Salesforce Analytics-DA-201 Testing Engine - Analytics-DA-201 Prüfungsübungen

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Salesforce Certified Tableau Data Analyst Analytics-DA-201 Prüfungsfragen mit Lösungen (Q54-Q59):

54. Frage
You have the following dataset in Microsoft Excel.

You are using Data interpreter to cleans the dataset. Data interpreter provides the following results.

How many rows of data will be ingested into Tableau as values?

Antwort: A

Begründung:
Data interpreter is a feature that helps you clean and structure your data in Excel before importing it into Tableau. It detects and removes any headers, footers, subtotals, or other elements that are not part of the actual data. It also splits any merged cells and fills in any missing values. In this case, data interpreter provides the following results:
* It removes the first three rows and the last two rows that contain headers and footers.
* It splits the merged cells in column A and fills in the missing values with "Fiction" or "Non-Fiction".
* It does not remove or change any other rows or cells.
Therefore, the number of rows of data that will be ingested into Tableau as values is 17, which is the number of rows left after removing the headers and footers. References: https://help.tableau.com/current/pro/desktop
/en-us/importing_cleaning_up_data.htm https://help.tableau.com/current/pro/desktop/en-us
/importing_data_interpreter.htm
Based on the Data Interpreter ' s results and the provided Excel dataset screenshot, the number of rows of data that will be ingested into Tableau as values is 17. The Data Interpreter has identified and excluded headers and footers, and the rows with actual data are considered for analysis.


55. Frage
A Data Analyst has the following dataset.

The analyst wants to create a parameter to dynamically filter the data to produce the following results based on quantity being above X value.

Which two types of parameters should the analyst use to produce the results? (Choose two)

Antwort: A,C


56. Frage
You have the following visualization.

Antwort:

Begründung:


57. Frage
You receive a tab-delimited data file name sales.tsv.
You need to connect to the file.
Which option should you select in Tableau Desktop?

Antwort:

Begründung:
To connect to a tab-delimited data file named sales.tsv, you should select the option To a File > Text file in Tableau Desktop. This option will allow you to browse and select the file from your local or network drive and connect to it as a data source. You can then specify the text file properties, such as the delimiter, the text qualifier, and whether the first row contains column names. You can also join, union, or blend the data with other data sources if needed. References:
* Text File - Tableau
* Tableau Certified Data Analyst Study Guide


58. Frage
Open the link to Book1 found on the desktop. Use the Superstore data source.
Split the Customer Name field into two fields named First Name and Last Name.

Antwort:

Begründung:
check the steps below in explanation.
Explanation:
To split the Customer Name field into two fields named First Name and Last Name, you need to do the following steps:
* Open the link to Book1 found on the desktop. This will open the Tableau workbook that uses the Superstore data source.
* Go to the Data Source tab at the bottom of the workbook to see the data source page. You will see a table that shows the fields and values from the Superstore data source.
* Right-click on Customer Name in the table and select Split from the menu. This will split the field into two fields based on a separator, which is a space by default. You will see two new fields named Customer Name - Split 1 and Customer Name - Split 2 in the table.
* Right-click on Customer Name - Split 1 and select Rename from the menu. Type First Name as the new name and press Enter. This will rename the field as First Name.
* Right-click on Customer Name - Split 2 and select Rename from the menu. Type Last Name as the new name and press Enter. This will rename the field as Last Name.
References: https://help.tableau.com/current/pro/desktop/en-us/datasource_prepare.htm https://help.tableau.
com/current/pro/desktop/en-us/split.htm https://help.tableau.com/current/pro/desktop/en-us/renamefield.htm


59. Frage
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