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Salesforce Analytics-Con-301 Test Pattern, Advanced Analytics-Con-301 Testing Engine

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Salesforce Analytics-Con-301 Exam Syllabus Topics:

Topic
Details

Topic 1

Business Consulting: For Tableau Consultants, this section involves designing and troubleshooting calculations and workbooks to meet advanced analytical use cases. It covers selecting appropriate chart types, applying Tableau’s order of operations in calculations, building interactivity into dashboards, and optimizing workbook performance by resolving resource-intensive queries and other design-related issues.

Topic 2

Data Management: This part focuses on establishing governance and support for published content. Tableau Consultants are expected to manage data security, publish and maintain data sources and workbooks, and oversee content access. It includes applying governance best practices, using metadata APIs, and supporting administration functions to maintain data integrity and accessibility.

Topic 3

Data Visualization: This section evaluates the Tableau Consultant’s ability to design effective visual analytics solutions. It involves creating dashboards and visual reports that enhance user understanding, employing techniques like dynamic actions and advanced chart types, and ensuring performance optimization for an interactive user experience.

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Salesforce Analytics-Con-301 Online Practice Test

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Salesforce Certified Tableau Consultant Sample Questions (Q87-Q92):

NEW QUESTION # 87
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])}/SUM([Sales]}
B. {FIXED [Region]:[Sales]}/{FIXED: SUM([Sales])}
C. {FIXED [Region]:sum([Sales])}
D. {FIXED [Region]:sum([Sales])}/{FIXED :SUM([Sales])

Answer: A

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 # 88
A client is working in Tableau Prep and has a field named Orderld that is compiled by country, year, and an order number as shown in the following table.

What should the consultant use to transform the table in the most efficient manner?

A. A calculated field that uses the LEFT function
B. A calculated field that uses the TRIM function
C. The Split option
D. The Aliases option

Answer: C

Explanation:
To transform the Orderld field in Tableau Prep, the Split option is the most efficient and straightforward method. Here's how you can apply it:
In Tableau Prep, drag your dataset into the flow.
Click on the Orderld field in the workspace to select it.
Look for the option in the toolbar that says "Split" and select it.
Choose "Automatic Split" if the delimiters (such as hyphens) are consistent; Tableau Prep should automatically detect the hyphen as the delimiter and split the Orderld into multiple new fields.
The dataset should now show new columns: one for the country code (CA, FR, US), one for the year (2017), and one for the order number (152156, 152157, etc.).
The Split option works effectively here because it automatically identifies and uses the hyphen as the delimiter to divide the original Orderld into the desired components without manual specification of conditions or writing any formulas.
References
This procedure is based on the standard functionalities provided in Tableau Prep for splitting a field into multiple columns based on a delimiter, as described in the Tableau Prep user guide.

NEW QUESTION # 89
SIMULATION
From the desktop, open the CC workbook.
Open the City Pareto worksheet.
You need to complete the Pareto chart to show the percentage of sales compared to the percentage of cities. The chart must show references lines to visualize how the data compares to the Pareto principle.
From the File menu in Tableau Desktop, click Save.

Answer:

Explanation:
See the complete Steps below in Explanation
Explanation:
To complete the Pareto chart in the "City Pareto" worksheet of your Tableau Desktop and add reference lines to illustrate how the data compares to the Pareto principle, follow these 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 City Pareto worksheet by selecting its tab at the bottom of the window.
Construct the Pareto Chart:
Ensure that sales data is aggregated by city. If not, drag the 'City' dimension to the Columns shelf and the 'Sales' measure to the Rows shelf.
Sort the sales data in descending order to properly align the cities according to their sales contribution.
To create a running total of sales, right-click on the 'Sales' measure on the Rows shelf, select 'Quick Table Calculation', and choose 'Running Total'.
Drag the 'Number of Records' field to the Rows shelf next to the Sales running total. Right-click on it, select 'Quick Table Calculation', and choose 'Running Total'. Set its calculation to 'Percent of Total' from the 'Edit Table Calculation' option to represent the percentage of cities.
Add Reference Lines for the Pareto Principle:
Click on the Analytics tab in the sidebar.
Drag a 'Reference Line' element and drop it onto the chart area.
Set the Reference Line for the Sales axis at 80% to represent the typical Pareto cutoff where 80% of effects come from 20% of causes.
Add another Reference Line on the axis representing the percentage of cities, set at 20%, to visually assess the Pareto principle.
Adjust the Appearance of the Chart:
Format the reference lines by right-clicking on them, selecting 'Edit', and choosing a distinct style or color to make them stand out.
Ensure the chart is clear and labels are appropriately adjusted for easy understanding of the data visualization.
Save Your Changes:
From the File menu, click 'Save' to ensure all your changes are stored.
References:
Tableau Help: Offers detailed guidance on creating Pareto charts and adding reference lines.
Tableau Visualization Best Practices: Provides tips on effectively displaying cumulative data and principles such as Pareto.
By following these steps, you will have successfully enhanced the City Pareto worksheet to include a complete Pareto chart with reference lines that illustrate how the sales data compares to the Pareto principle, making it easier to analyze and communicate the distribution of sales across cities.

NEW QUESTION # 90
A new Tableau user created a simple dashboard on Tableau Server using supply chain data. Now, the user wants to know if they created the dashboard in accordance with specific performance best practices.
Which approach should the consultant recommend for the client to make this determination?

A. Use Performance Recording on Tableau Server.
B. Use Performance Recording in Tableau Desktop.
C. Use inbuilt dashboards in Tableau Server to troubleshoot the performance.
D. Run Workbook Optimizer.

Answer: D

Explanation:
The Workbook Optimizer is a tool specifically designed to evaluate a workbook against performance best practices. It provides feedback on key design characteristics and offers concrete guidance on how to improve workbook performance. This tool is beneficial for both new and experienced Tableau users to ensure their dashboards are optimized for performance1.
References: The Workbook Optimizer's functionality is detailed in Tableau's official documentation, which explains how it assesses workbooks against a set of rules derived from best practices1. Additionally, the Performance Recording feature in Tableau Desktop and Server can be used to identify performance issues, but the Workbook Optimizer gives a more comprehensive analysis of the workbook's adherence to best practices23.

NEW QUESTION # 91
A business analyst is creating a view of the top 10 customers for each region. The analyst has set a "Top 10" filter on Customer Name. However, it did not display the top 10 customers per region, as shown in the image below.

Which type of filter should the business analyst add to filter for region?

A. Context filter
B. Table Calculation filter
C. Extract filter
D. Dimension filter

Answer: A

Explanation:
The issue occurs because of Tableau's Order of Operations.
Key Tableau logic:
* Top N filters are a type of Dimension filter.
* Dimension filters are evaluated after Context filters.
* When you place Region on Filters (as a standard dimension filter), Tableau:
* First applies the Customer Name Top 10 filter across the entire data set, not per region.
* Then limits the view to the selected region(s).
* This results in seeing the global Top 10 customers, not the Top 10 per region.
How to fix it:
To force Tableau to compute Top 10 customers within each region, the Region filter must be applied before the Top N Customer filter.
This is done by making Region a Context Filter.
Effect of a Context Filter:
* Context filters are executed before the Top N filter.
* Region becomes the context.
* Tableau then evaluates the Top 10 customers inside each region's subset of data.
This produces the correct "Top 10 customers per region".
Why the other options are incorrect:
A). Extract filter
Applies once when creating the extract; does not control Top N logic inside the workbook.
B). Dimension filter
This is what the analyst already has - and it causes the unwanted behavior because it happens after the Top N filter.
C). Table Calculation filter
Top N is not a table calculation; table calc filters cannot fix this problem.
Only the Context Filter changes the execution order so Top N works per region.
* Tableau Order of Operations showing Context Filters applied before Top N filters.
* Best practices recommending Context Filters when Top N must be computed within subcategories.
* Filtering documentation explaining that Top N filters require context when additional dimensional filters are present.

NEW QUESTION # 92
......

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