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>> Valid Analytics-Con-301 Exam Sims <<
The Salesforce Certified Tableau Consultant (Analytics-Con-301) certification has become a basic requirement to advance rapidly in the information technology sector. Since Salesforce Certified Tableau Consultant (Analytics-Con-301) actual dumps are vital to prepare quickly for the examination. Therefore, you will need them if you desire to ace the Salesforce Certified Tableau Consultant (Analytics-Con-301) exam in a short time.
NEW QUESTION # 95
A data analyst sets up a calculation to filter a dashboard so that it displays only the users' information. The dashboard will then be published to Tableau Cloud.
The data analyst plans to use the following calculation to filter the data: USERNAME() = [Correct Answer] Which column in the table below should the data analyst reference in the calculation?
Answer: A
Explanation:
When dashboards are published to Tableau Cloud, the function USERNAME() returns the user's Tableau Cloud username, which is the email address associated with their Tableau Cloud account.
Tableau documentation states:
* On Tableau Cloud, the value returned by USERNAME() is always the user's email address.
* Row-Level Security (RLS) is typically implemented using a comparison of USERNAME() to an email field in the data source.
* For secure filtering, the field compared to USERNAME() must match the authentication identity exactly.
Looking at the provided table:
* "Abbreviated Name" contains short custom codes like "SMiller," which do not match Tableau Cloud usernames.
* "Lower Case Name" contains names like "sean miller," which also do not match Tableau Cloud usernames.
* "Email" contains the full email address for each user, such as "Sean.Miller@superstore.com," which is the only field that corresponds to what USERNAME() returns in Tableau Cloud.
Therefore, the correct field to reference is Email.
* Tableau Cloud authentication documentation stating USERNAME() returns the user's email address.
* Row-Level Security setup guidance recommending the comparison USERNAME() = [Email Field].
* Tableau security practices indicating only the email column will match USERNAME() values on Tableau Cloud.
NEW QUESTION # 96
SIMULATION
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 # 97
A database contains two related tables at different levels of granularity. The client wants to make all data available in Tableau Prep at the original level of granularity.
Which two solutions in Tableau meet the client's requirements? Choose two.
Answer: B,C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The key requirement is:
# Data must remain at the original grain in Tableau Prep
# Tables are at different granularities
Tableau Prep does NOT support relationships, and automatically joins tables, which changes granularity (by duplicating or aggregating records).
Therefore, relationships (Option B) cannot preserve grain for Prep.
Also:
* A physical join (Option D) changes the grain by combining rows, often multiplying results when grain differs.
Only two options preserve the original granularity:
Option A - Two Separate Published Data Sources
Each data source represents one table.
In Tableau Prep, the user can choose:
* Use tables separately
* Join or clean them intentionally
* Keep each table at its own grain
This keeps all data at its native level.
Option C - Virtual Connection
A Virtual Connection:
* Publishes entire tables from the database
* Maintains each table independently at its native granularity
* Makes all tables available to Tableau Prep without altering grain
* Is specifically designed for governed, reusable multi-table access
Thus, it satisfies the requirement exactly.
Why the others are incorrect:
B - Relationship
Relationships only exist in Tableau Desktop logical layer, NOT in Tableau Prep.
Prep flattens the data # grain is lost.
D - Physical join
Always modifies granularity when tables differ, often causing row multiplication.
* Tableau Prep does not support logical relationships; only physical joins.
* Virtual Connections preserve original tables and governance.
* Published Data Sources can be separated to maintain original grain.
NEW QUESTION # 98
A client has a database that stores widget inventory by day and it is updated on a nonstandard schedule as shown below.
They want a data visualization that shows widget inventory daily, however their business unit does not have the ability to modify the data warehouse structure.
What should the client do to achieve the desired result?
Answer: A
Explanation:
For a client who needs a daily visualization of widget inventory but cannot modify the data warehouse structure, the best approach is to use Tableau Prep to add new rows. Tableau Prep can be used to manipulate the existing dataset by adding missing date entries and appropriately adjusting inventory counts based on available data. This allows the creation of a complete daily snapshot for visualization without needing changes to the underlying database structure.
NEW QUESTION # 99
SIMULATION
From the desktop, open the CC workbook.
Open the Manufacturers worksheet.
The Manufacturers worksheet is used to
analyze the quantity of items contributed by
each manufacturer.
You need to modify the Percent
Contribution calculated field to use a Level
of Detail (LOD) expression that calculates
the percentage contribution of each
manufacturer to the total quantity.
Enter the percentage for Newell to the
nearest hundredth of a percent into the
Newell % Contribution parameter.
From the File menu in Tableau Desktop, click
Save.
Answer:
Explanation:
See the complete Steps below in Explanation
Explanation:
To modify the Percent Contribution calculated field to use a Level of Detail (LOD) expression and accurately calculate the percentage contribution of each manufacturer to the total quantity, follow these steps:
Open the CC Workbook and Access the Worksheet:
Double-click on the CC workbook from the desktop to open it in Tableau Desktop.
Navigate to the Manufacturers worksheet by selecting its tab at the bottom of the window.
Modify the Percent Contribution Calculated Field:
Navigate to the Data pane and find the "Percent Contribution" calculated field.
Right-click on the "Percent Contribution" field and select 'Edit'.
Modify the formula to incorporate an LOD expression that calculates the total quantity across all manufacturers and the specific quantity per manufacturer:
{FIXED [Manufacturer]: SUM([Quantity])} / {SUM([Quantity])}Quantity])}
This formula uses {FIXED [Manufacturer]: SUM([Quantity])} to compute the total quantity contributed by each manufacturer, regardless of other dimensions in the view. The total quantity {SUM([Quantity])} calculates the grand total across all manufacturers. The division calculates the percentage contribution.
Click 'OK' to save the updated calculated field.
Enter Percentage for Newell:
With the updated "Percent Contribution" field, drag it onto the view to update the chart or table.
Identify the value corresponding to 'Newell' in the updated visualization.
Round this value to the nearest hundredth of a percent as required.
Enter this value into the "Newell % Contribution" parameter. To do this, locate the parameter in the Data pane or on the dashboard, right-click it, and choose 'Edit'. Enter the calculated percentage for Newell.
Save Your Changes:
From the File menu, click 'Save' to store all the modifications you have made to the workbook.
References:
Tableau Help: Offers detailed guidance on using LOD expressions for precise and context-independent aggregations.
Tableau Desktop User Guide: Provides comprehensive instructions on managing calculated fields and parameters, ensuring accurate data analysis.
By following these steps, you will have successfully updated the calculation for percent contribution using LOD expressions, providing a more accurate analysis of each manufacturer's contribution to the total quantity. Moreover, updating the parameter with Newell's specific contribution rounds out the task by reflecting precise data inputs for reporting or further analysis.
NEW QUESTION # 100
......
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