Salesforce Analytics-Con-301 Test Tutorials, Test Analytics-Con-301 Pattern
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Salesforce Analytics-Con-301 certification is indeed a better idea before you start with the interviews. Salesforce Analytics-Con-301 certification will add up to your excellence in your field and leave no space for any doubts in the mind of the hiring team. But, have you thought about how can you prepare for the Salesforce Analytics-Con-301 Exam Questions? Do you have any idea how we can crack the nut to give wings to our dreams?
Salesforce Analytics-Con-301 Exam Syllabus Topics:
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Salesforce Certified Tableau Consultant Sample Questions (Q28-Q33):
NEW QUESTION # 28
A client has a published data source in Tableau Server and they want to revert to the previous version of the data source. The solution must minimize the impact on users.
What should the consultant do to accomplish this task?
- A. Delete and recreate the data source manually.
- B. Select a previous version from Tableau Server, download it, and republish that data source.
- C. Request that a server administrator restore a Tableau Server backup.
- D. Select a previous version from Tableau Server, and then click Restore.
Answer: D
Explanation:
To minimize the impact on users when reverting to a previous version of a published data source in Tableau Server, the consultant should use the built-in revision history feature. By selecting a previous version from the revision history and clicking 'Restore', the data source will revert to that version without the need for a full server backup restoration or manual recreation of the data source. This process is quick and has the least amount of disruption to users.
References: The functionality and process for reverting to a previous version of a data source are outlined in Tableau's official documentation on working with content revisions1. This feature is part of Tableau Server's capabilities to manage and maintain data sources effectively21.
NEW QUESTION # 29
An analyst needs to interactively set a reference date to drive table calculations without leaving a view.
Which action should the analyst use?
- A. Parameter action
- B. Highlight action
- C. Running action
- D. Filter action
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Tableau's documentation on Parameter Actions states that they allow users to interactively update a parameter directly from the view-without opening the parameter control box.
To "interactively set a reference date" that drives a table calculation:
* A parameter must hold that reference date.
* A parameter action allows clicking or selecting a mark in the view to update the parameter value.
* Table calculations can then reference that parameter to change their computation dynamically.
Filter actions modify which data is shown, not a reference date.
Running actions change sheets, not computation parameters.
Highlight actions visually accent marks but do not set values.
Thus, parameter actions are the only mechanism that meets the requirement.
* Parameter Actions overview describing interactive parameter updates.
* Use cases where parameter actions drive table calculations.
* Action type comparison showing that only parameter actions update a computation value.
NEW QUESTION # 30
A client calculates the percent of total sales for a particular region compared to all regions.
Which calculation will fix the automatic recalculation on the % of total field?
- A. {FIXED [Region]:sum([Sales])}
- B. {FIXED [Region]:[Sales]}/{FIXED: SUM([Sales])}
- C. {FIXED [Region]:sum([Sales])}/SUM([Sales]}
- D. {FIXED [Region]:sum([Sales])}/{FIXED :SUM([Sales])
Answer: C
Explanation:
To correctly calculate the percent of total sales for a particular region compared to all regions, and to ensure that the calculation does not get inadvertently recalculated with each region filter application, the recommended calculation is:
{FIXED [Region]: sum([Sales])}: This part of the formula computes the sum of sales for each region, regardless of any filters applied to the view. It uses a Level of Detail expression to fix the sum of sales to each region, ensuring that filtering by regions won't affect the calculated value.
SUM([Sales]): This part computes the total sum of sales across all regions and is recalculated dynamically based on the filters applied to other parts of the dashboard or worksheet.
Combining the two parts: By dividing the fixed regional sales by the total sales, we get the proportion of sales for each region as compared to the total. This calculation ensures that while the denominator adjusts according to filters, the numerator remains fixed for each region, accurately reflecting the sales percentage without being affected by the region filter directly.
References
This calculation follows Tableau's best practices for using Level of Detail expressions to manage computation granularity in the presence of dashboard filters, as outlined in the Tableau User Guide and official Tableau training materials.
NEW QUESTION # 31
From the desktop, open the CC workbook.
Open the Incremental worksheet.
You need to add a line to the chart that
shows the cumulative percentage of sales
contributed by each product to the
incremental sales.
From the File menu in Tableau Desktop, click
Save.
Answer:
Explanation:
See the complete Steps below in Explanation:
Explanation:
To add a line showing the cumulative percentage of sales contributed by each product to the incremental sales in the Incremental worksheet of your Tableau Desktop, follow these detailed steps:
* Open the CC Workbook and Access the Worksheet:
* From the desktop, double-click on the CC workbook to open it in Tableau Desktop.
* Navigate to the Incremental worksheet by clicking on its tab at the bottom of the window.
* Calculate Cumulative Sales Percentage:
* Create a new calculated field to compute the cumulative percentage of sales. Right-click in the Data pane and select 'Create Calculated Field'.
* Name this field "Cumulative Sales Percentage".
* Enter the following formula to calculate the running sum of sales as a percentage of the total sales:
(RUNNING_SUM(SUM([Sales])) / TOTAL(SUM([Sales])) [Sales]))
* Click 'OK' to save the calculated field.
* Add the Cumulative Sales Percentage Line to the Chart:
* Drag the "Cumulative Sales Percentage" field to the Rows shelf, placing it next to the existing Sales measure.
* Ensure that the cumulative line appears as a continuous line. Right-click on the "Cumulative Sales Percentage" field on the Rows shelf, select 'Change Chart Type', and choose 'Line'.
* Adjust the axis to synchronize or dual-axis if necessary. Right-click on the axis of the
"Cumulative Sales Percentage" and select 'Synchronize Axis' if it's on a dual-axis setup.
* Format the Cumulative Sales Percentage Line:
* Click on the "Cumulative Sales Percentage" line in the visualization.
* Navigate to the 'Format' pane to adjust the line style, thickness, and color to make it distinct from other data in the chart.
* Save Your Changes:
* From the File menu, click 'Save' to ensure all your changes are stored.
References:
Tableau Help: Provides additional details on creating calculated fields and customizing line charts.
Tableau User Guide: Offers extensive instructions on formatting charts, including line types and axis synchronization.
By following these steps, you will successfully add a cumulative sales percentage line to your chart, enhancing the visualization to reflect the incremental contribution of each product to the overall sales in a dynamic and informative manner.
NEW QUESTION # 32
In what way does View Acceleration improve performance?
- A. By enhancing the rendering speed of visuals, such as drawing shapes and maps
- B. By improving the performance of views that contain long-running queries with transient functions
- C. By precompiling and fetching workbook data in a background process
- D. By optimizing the performance of views built only on extract-based data sources
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
View Acceleration is a Tableau Server and Tableau Cloud feature that speeds up slow-loading views by precomputing their queries in the background.
According to Tableau's server and cloud performance documentation:
* When View Acceleration is enabled for a view, Tableau runs the queries behind that view on a background process and stores the results in memory.
* When an end user later opens the view, Tableau can serve the precomputed results immediately, rather than running the potentially long-running queries at that moment.
* This improves initial load time significantly for views that are slow because of heavy queries.
It does not only work with extract-based data sources (it can also help with many live connections), so option A is too limited.
It does not change the client-side rendering engine, so option C is incorrect.
It is not specific to transient functions but to any view where the query is expensive, so option D is not accurate.
Therefore, the correct description is that View Acceleration precompiles and fetches workbook data in a background process, which matches option B.
* Tableau Server and Tableau Cloud help describing View Acceleration as precomputing and caching view results using background processes.
* Performance tuning guidance recommending View Acceleration for views with slow query execution.
NEW QUESTION # 33
......
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