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[Hardware] Learning Salesforce Analytics-Con-301 Materials - 100% Analytics-Con-301 Accurac

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【Hardware】 Learning Salesforce Analytics-Con-301 Materials - 100% Analytics-Con-301 Accurac

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Salesforce Analytics-Con-301 Exam Syllabus Topics:
TopicDetails
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
  • Business Analysis: This section of the exam measures skills of Tableau Consultants focusing on evaluating the current state of analytics within an organization. It covers mapping business needs to Tableau capabilities, translating analytical requirements to best practices in Tableau, and recommending appropriate deployment options like Tableau Server or Tableau Cloud. It also includes evaluating existing data structures for supporting business needs and identifying performance risks and opportunities.
Topic 3
  • 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 4
  • 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 Certified Tableau Consultant Sample Questions (Q62-Q67):NEW QUESTION # 62
A consultant creates a histogram that presents the distribution of profits across a client's customers. The labels on the bars show percent shares. The consultant used a quick table calculation to create the labels.
Now, the client wants to limit the view to the bins that have at least a 15% share. The consultant creates a profit filter but it changes the percent labels.
Which approach should the consultant use to produce the desired result?
  • A. Filter with the table calculation used to create labels.
  • B. Use a calculation with TOTAL() function instead of a quick table calculation.
  • C. Add the [Profit] filter to the context.
  • D. Filter with a table calculation WINDOW_AVG(MIN([Profit]), first(), last())
Answer: C
Explanation:
When a filter is applied directly to the view, it can affect the calculation of percentages in a histogram because it changes the underlying data that the quick table calculation is based on. To avoid this, adding the [Profit] filter to the context will maintain the original calculation of percent shares while filtering out bins with less than a 15% share. This is because context filters are applied before any other calculations, so the percent shares calculated will be based on the context-filtered data, thus preserving the integrity of the original percent labels.
References: The solution is based on the principles of context filters and their order of operations in Tableau, which are documented in Tableau's official resources and community discussions123.
When a histogram is created showing the distribution of profits with labels indicating percent shares using a quick table calculation, and a need arises to limit the view to bins with at least a 15% share, applying a standard profit filter directly may undesirably alter how the percent labels calculate because they depend on the overall distribution of data. Placing the [Profit] filter into the context makes it a "context filter," which effectively changes how data is filtered in calculations:
Create a Context Filter: Right-click on the profit filter and select "Add to Context". This action changes the order of operations in filtering, meaning the context filter is applied first.
Adjust the Percent Calculation: With the profit filter set in the context, it first reduces the data set to only those profits that meet the filter criteria. Subsequently, any table calculations (like the percent share labels) are computed based on this reduced data set.
View Update: The view now updates to display only those bins where the profits are at least 15%, and the percent share labels recalculated to reflect the distribution of only the filtered (contextual) data.
References:
Context Filters in Tableau: Context filters are used to filter the data passed down to other filters, calculations, the marks card, and the view. By setting the profit filter as a context filter, it ensures that calculations such as the percentage shares are based only on the filtered subset of the data.

NEW QUESTION # 63
A client has a dashboard that renders in less than 10 seconds. The client receives a request to add a new calculated field that will return TRUE if a Project contains any one of the values "roject 1" or "roject 2" and FALSE otherwise. After adding the function found below, the dashboard's render time increases to 14 seconds from 10 seconds.
[Project] = 'Project 1' OR [Project] = 'Project 2'
Which function should the consultant use to reduce the render time?
  • A. [Project] = 'Project 1' AND [Project] = 'Project 2'
  • B. [Project] IN ('Project 1' OR 'Project 2')
  • C. (([Project] = 'Project 1') OR ([Project] = 'Project 2'))
  • D. [Project] IN ('Project 1', 'Project 2')
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Tableau documentation states that IN expressions are optimized internally for better query performance than multiple OR statements. They are pushed efficiently to the data source and simplified during query compilation.
The original expression uses two OR conditions, which increases the complexity of row-level evaluation:
[Project] = 'Project 1' OR [Project] = 'Project 2'
Tableau's performance guidelines recommend replacing multiple OR comparisons with an IN expression whenever possible:
[Project] IN ('Project 1', 'Project 2')
This reduces rendering time by minimizing row evaluation overhead and creating a cleaner, optimized logical condition.
Option D achieves this exactly.
Option A is logically incorrect because a project cannot simultaneously equal both values.
Option B is syntactically incorrect because IN expects a list, not an OR inside the list.
Option C is simply a reformatting of the original OR expression and provides no performance improvement.
Option D is the only valid, optimized solution.
* Tableau calculation optimization guidance recommending IN over OR for performance.
* Tableau's query performance notes indicating that OR statements expand logical branches and slow down evaluation.
* Best practices for row-level calculations suggesting simplified logical expressions.

NEW QUESTION # 64
A university has data on its undergraduate students and their majors by grade level (Freshman, Sophomore, Junior, Senior). The university is interested in visualizing the path students take as they change majors across grade levels.
Which visualization type should the consultant recommend?
  • A. Tree Chart
  • B. Sankey Diagram
  • C. Radar Chart
  • D. Chord Chart
Answer: B
Explanation:
To visualize the path students take as they change majors across different grade levels, a Sankey Diagram is highly effective. This type of visualization illustrates the flow and quantity between different stages or categories:
Sankey Diagram: It allows for a visual representation of students' movements between majors over time. Each flow's thickness is proportional to the number of students moving from one major to another, giving a clear, immediate visual cue of major popularity and student migration patterns.
To create a Sankey Diagram in Tableau, you typically need to prepare the data specifically for this type of chart. The data must include source (starting major), target (ending major), and the value (number of students). It often requires custom calculations and data reshaping to get the data in a format that a Sankey can use.
Once the data is prepared, you can use a combination of calculated fields, path binning, and line charts to simulate the flow effect in Tableau. External plugins or web-based integrations might also be employed for more direct implementations.
References
Sankey Diagrams are not natively supported in Tableau but can be implemented through creative use of data preparation and calculations, as suggested in advanced Tableau user communities and demonstrated in various Tableau public galleries.

NEW QUESTION # 65
A multi-national company wants to have a Tableau dashboard that will provide country-level information for both its forecast summaries and year-on-year metrics. The company wants to toggle between these two views while leaving main key performance indicators (KPIs) visible on the main dashboard.
Which method is the most efficient in achieving the company's requirements?
  • A. Create a parameter that accepts values from a list that contains "Forecast View" and "Year-on-Year View."
    . Right-click the parameter and select Add to Sheet for both worksheets.
    . Navigate back to the dashboard and to the upper corner of the two worksheets.
    . Enable the Use as Filter option.
  • B. Create a Boolean parameter with the two names of the views as aliases and a corresponding calculated field with the following calculation: True.
    . Add the forecast summary sheet to the dashboard and add the year-on-year metrics sheet to the same dashboard as a Floating dashboard object.
  • C. Create a single worksheet with all the measures required for both the forecast summary and the year-on-year views.
    . Create a Boolean parameter and a corresponding calculated field with the following calculation: True.
    . Add a blank dashboard object and in the Layout tab, check the box for "Control visibility using value" and select the parameter you created.
  • D. Create a dashboard with the sheets containing the main KPIs and the forecast summary worksheet.
    . Duplicate this dashboard and replace the forecast view worksheet with the year-on-year metrics worksheet.
    . Add navigation buttons to both dashboards.
Answer: B
Explanation:
. Add the calculated fields as a Detail under the Marks card of the floating view, create a "Change Parameter" action, and set the
"Target Parameter" and "Source Fields" to the parameter and calculated field you created.
. Check the box for "Control visibility using value" in the Layout tab of the floating view and select the parameter you created.
Explanation:
The most efficient method for toggling between two views (forecast summaries and year-on-year metrics) while keeping main KPIs visible involves using a parameter and calculated fields for controlling visibility:
Create a Boolean Parameter: This parameter will have two aliases representing the two views ("Forecast View" and "Year-on-Year View"). This allows the user to select which view they wish to see directly from the dashboard.
Calculated Field: Create a calculated field that always returns True. This field acts as a constant placeholder to enable the visibility control tied to the parameter.
Dashboard Setup: Place both the forecast summary and the year-on-year metrics sheets on the dashboard. Set the year-on-year metrics sheet as a floating object over the forecast summary.
Visibility Control: Use the "Control visibility using value" option in the Layout tab for the floating year-on-year metrics view. Tie this setting to the Boolean parameter so that changing the parameter will show or hide this view without affecting the main KPIs displayed on the dashboard.
Interactivity: Implement a "Change Parameter" dashboard action where selecting different options in the dashboard (e.g., clicking on certain parts) triggers the parameter to change, thus toggling the visible view.
References
This method leverages Tableau's dashboard interactivity features including parameters, calculated fields, and visibility settings, as recommended in Tableau's user guide on dynamic dashboard design.

NEW QUESTION # 66
A client calculates the percent of total sales for a particular region compared to all regions.

The Sales percentage is inadvertently recalculated each time the filter is applied to the Region.

Which calculation should fix the automatic recalculation on the % of total field?
  • A. {FIXED [Region]: SUM([Sales])}
  • B. {FIXED [Region]: SUM([Sales])} / {FIXED :SUM([Sales])}
  • C. {FIXED [Region]: SUM([Sales])} / SUM([Sales])
  • D. {FIXED [Region]: SUM([Sales])} / { [Sales] }
Answer: B
Explanation:
The problem:
The client wants:
Percent of total sales for each region compared to ALL regions,
even when Region is filtered.
However, the calculation currently behaves like a table calculation:
SUM([Sales]) / TOTAL(SUM([Sales]))
This recalculates the total after Region filters are applied, so removing a region changes the denominator.
Tableau Documentation - How to prevent recalculation:
To keep percent-of-total unchanged when filtering, Tableau's recommended method is to use FIXED LOD expressions to lock the granularity.
Two values must be fixed:
* Numerator: Sales for that specific region{ FIXED [Region] : SUM([Sales]) }
* Denominator: Total sales across all regions, independent of filters{ FIXED : SUM([Sales]) }(FIXED with no dimension = entire data set) Then compute the percentage:
{ FIXED [Region] : SUM([Sales]) } / { FIXED : SUM([Sales]) }
This ensures:
* The region sales remain accurate.
* The overall total remains constant, even if filters remove regions.
* Region filtering no longer recalculates percent-of-total.
Why the other options are incorrect:
A). {FIXED [Region]: SUM([Sales])} / SUM([Sales])
The denominator is still affected by filters # recalculates % of total.
B). {FIXED [Region]: SUM([Sales])} / { [Sales] }
{[Sales]} is not valid syntax and does not fix granularity.
D). {FIXED [Region]: SUM([Sales])}
This gives only the numerator - no percent-of-total calculation.
The only correct LOD solution is option C.
* Tableau LOD Expression Guide: FIXED for filter-independent calculations.
* Tableau Percent-of-Total Best Practices: use FIXED LOD to avoid recalculation when filters change.
* Order of Operations: FIXED LODs occur before dimension filters, keeping totals stable.

NEW QUESTION # 67
......
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