Salesforce Analytics-DA-201 Dumps - Analytics-DA-201 Deutsche Prüfungsfragen

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Salesforce Analytics-DA-201 Exam Overview:

Certification Vendor:	Salesforce
Exam Name:	Salesforce Certified Tableau Data Analyst
Exam Number:	Analytics-DA-201
Available Languages:	English, Simplified Chinese, Japanese, Korean
Real Exam Qty:	170-175
Passing Score:	65%
Exam Price:	US$200
Exam Duration:	105 minutes
Exam Format:	Scenario-based, Hotspot, Drag-and-drop, Multiple choice
Certificate Validity Period:	2 years
Recommended Training:	Trailhead: Tableau Data Analyst Certification Prep
Exam Registration:	Salesforce Certification Registration
Sample Questions:	Salesforce Analytics-DA-201 Sample Questions
Exam Way:	Online proctored or onsite testing center
Pre Condition:	No prerequisites required
Official Syllabus URL:	https://help.salesforce.com/s/articleView?id=005298984&type=1

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Salesforce Analytics-DA-201 Prüfungsplan:

Thema	Einzelheiten
Thema 1	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 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	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 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 (Q120-Q125):

120. Frage
You have a data source that contains data tor every city in the Unites States. The following is a sample of the data.

You need to use the City dimension to create a dynamic filter that snows the cities that have a population greater than one million Which type of filter should you use?

A. General filter
B. Top filter
C. Wildcard filter
D. Condition filter

Antwort: D

Begründung:
To use the City dimension to create a dynamic filter that shows the cities that have a population greater than one million, you should use a condition filter. A condition filter is a type of filter that shows only the values that meet a specified condition based on a measure or a calculation. You can create a condition filter by dragging a dimension to the Filters shelf and selecting Condition from the dialog box. Then you can enter a formula or choose an option that defines your condition.
In this case, you want to create a condition filter based on Population, which is a measure. You can drag City to the Filters shelf and select Condition from the dialog box. Then you can choose By field from the tab and select Population > Sum > Greater than > 1000000 from the drop-down lists. This will create a condition filter that shows only the cities that have a sum of population greater than one million.
The other options are not correct for this scenario. A general filter is not a specific type of filter, but a term that refers to any type of filter in Tableau. A wildcard filter is a type of filter that shows only the values that match a specified pattern or string, such as "New*" or "*ton". A top filter is a type of filter that shows only the top or bottom N values of a measure or dimension based on a ranking or an aggregation. References:
https://help.tableau.com/current/pro/desktop/en-us/filtering.htm https://help.tableau.com/current/pro/desktop
/en-us/filtering_condition.htm https://help.tableau.com/current/pro/desktop/en-us/filtering_wildcard.htm
https://help.tableau.com/current/pro/desktop/en-us/filtering_topn.htm

121. Frage
You have a dataset that contains daily sales by business segment from 2017 to the present You want to use monthly historical trends to predict sales by segment in the future Which three actions should you perform m order?
(Place the three correct options in order Use the arrows to move Options lo Answer Area I In Answer Area arrows to re order the options.)

Antwort:

Begründung:

Explanation:
The correct order of the three actions is:
* Add the date to the Columns shelf. Add the segment and the sales to the Rows shelf.
* Aggregate the date to month and year.
* From the Analytics pane, drag Forecast to the worksheet.
The first action is to add the date to the Columns shelf and the segment and the sales to the Rows shelf. This will create a line chart that shows the daily sales by segment over time. You can use the Show Me menu to choose a line chart if it is not selected by default.
The second action is to aggregate the date to month and year. This will group the daily sales into monthly sales and show the yearly trend. You can right-click on the date field on the Columns shelf and select Month (January 2017) from the menu. You can also drag Year from the Dimensions pane to the Columns shelf before or after Month.
The third action is to drag Forecast from the Analytics pane to the worksheet. This will add a forecast that predicts future sales by segment based on historical trends. You can customize the forecast by clicking on it and using the options on the Marks card.
The other options are not relevant for this scenario. Adding a trend line would show a linear or nonlinear relationship between two measures, but not a prediction of future values. Creating a calculated field that uses the model quantile function would return a value from a statistical model based on a given quantile, but not a forecast.
References: https://help.tableau.com/current/pro/desktop/en-us/analytics.htm https://help.tableau.com/current
/pro/desktop/en-us/buildmanual_shelves.htm https://help.tableau.com/current/pro/desktop/en-us/dates.htm
https://help.tableau.com/current/pro/desktop/en-us/analytics_forecast.htm https://help.tableau.com/current/pro
/desktop/en-us/functions_functions_statistical.htm#MODEL_QUANTILE

122. Frage
A Data Analyst would like to receive the draft results of a colleague's Tableau Prep flow to start work on a dashboard before it has been published.
What should the analyst do to accomplish this?

A. On the Tableau Desktop Connect page, under To a File, choose "More ...", and browse for the colleague's .tf file on the local file system.
B. Open Tableau Desktop and make a connection to Tableau Prep, then choose the colleague's flow that the analyst wants to connect to.
C. Have the colleague output the results of the flow to a .hyper file. Create a new workbook in Tableau Cloud, choose Files on the Connect to Data page, and upload the .hyper file from the computer.
D. Have the colleague output the results of the flow to a .hyper file. On the Tableau Desktop Connect page, under To a File, choose "More ...", and browse for the .hyper file on the local file system.

Antwort: D

123. Frage
You have the following visualization.

The Last() calculation is set to compute using Table (across)
Which value will appear in the crosstab for the Consumer segment of the year 2018 if you change compute to use Oder Dale?

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

Antwort: B

Begründung:
The LAST() function in Tableau returns the number of rows from the current row to the last row in the partition. When you compute using 'Order Date', it will change the partitioning of the calculation. If
'Consumer' in '2018' is the last row in its partition when computed by 'Order Date', then LAST() will return 0 for that cell.
The LAST() function in Tableau is a table calculation that returns the number of rows from the current row to the last row in the partition. The value of LAST() is 0 for the last row, increases by 1 for each row above the last row, and can be negative for rows below the current row if there are such rows in the partition.
In the provided visualization, LAST() is set to compute using Table (across). Changing the compute mode to use "Order Date" will adjust the partitioning of the data upon which the LAST() function is calculated. Since
"Order Date" is likely to be a unique value per row (assuming each order has a unique date), each row becomes its own partition.
For the Consumer segment of the year 2018, if "Order Date" is unique for each row, then the last row in each partition (in this case, each individual row) will have a LAST() value of 0 because there are no other rows in the partition - it's the last row of its own partition.
Therefore, when you change the compute mode of LAST() to use "Order Date", each cell under the Consumer segment for the year 2018 will have the LAST() value of 0, because each order date creates a partition of one, making every row the last in its partition.

124. Frage
You have the following tiled dashboard that has one sheet.
You want to replace the sheet with Sheet2.
What should you do?

A. Right-click Sheet2 and select Add to Dashboard.
B. Drag Sheet2 to the dashboard.
C. Select Sheet3 and click the Swap Sheet button next to Sheet2.
D. From the context menu of Sheet3. select Deselect
E. From the context menu of Sheet3. select Remove Dashboard item

Antwort: B

Begründung:
In Tableau, to replace a sheet on a dashboard, you can simply drag the desired sheet (Sheet2 in this case) from the sheets list onto the dashboard area where the current sheet (Sheet3) resides. This action will replace the existing sheet with the new one. Right-clicking and adding to the dashboard adds an additional sheet rather than replacing, and the context menu options mentioned in the other choices are not the standard methods for replacing sheets within a dashboard.

125. Frage
......

Analytics-DA-201 Deutsche Prüfungsfragen: https://www.examfragen.de/Analytics-DA-201-pruefung-fragen.html

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