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[General] Pass Guaranteed Quiz Salesforce - Analytics-Con-301 - Salesforce Certified Table

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【General】 Pass Guaranteed Quiz Salesforce - Analytics-Con-301 - Salesforce Certified Table

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Salesforce Certified Tableau Consultant Sample Questions (Q96-Q101):NEW QUESTION # 96
A client is concerned that a dashboard has experienced degraded performance after they added additional quick filters. The client asks a consultant to improve performance.
Which two actions should the consultant take to fulfill the client's request? Choose two.
  • A. Modify filters to include an "Apply" button.
  • B. Use Filter Actions instead of quick filters.
  • C. Ensure filters are set to display "Only Relevant Values" instead of "All Values in Database."
  • D. Add existing filters to Context.
Answer: A,B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Quick filters are one of the most expensive features in Tableau because they require queries to populate value lists and dynamic recalculations when filters change.
According to Tableau performance documentation:
1. Add an "Apply" Button
This prevents Tableau from re-running queries every time the user selects a filter value.
Queries are executed once when the user presses Apply.
This is a documented best practice for filter-heavy dashboards.
2. Replace Quick Filters with Filter Actions
Filter actions are far more efficient because:
* They leverage the existing view context
* They do not require separate filter UI queries
* They avoid the overhead of quick filter value lists
Tableau recommends using filter actions instead of multiple quick filters for better performance.
Why the other options are incorrect:
* B. Add filters to Context: Context filters make downstream filters faster, but do not reduce quick filter processing cost; they can even increase extract size and slow down the dashboard.
* C. Only Relevant Values: This actually slows performance because Tableau must re-evaluate the entire data set to determine relevancy every time filters update.
Thus, A and D are the correct performance-improvement approaches.
* Tableau Performance Checklist recommending Apply button for multi-select filters.
* Performance documentation advising the use of Filter Actions over multiple quick filters.
* Filtering best practices explaining the cost of Only Relevant Values.

NEW QUESTION # 97
A consultant is designing a dashboard that will be consumed on desktops, tablets, and phones. The consultant needs to implement a dashboard design that provides the best user experience across all the platforms.
Which approach should the consultant take to achieve these results?
  • A. Build one dashboard for each type of device and fix the size of the layouts.
  • B. Build one dashboard and set the size to Automatic.
  • C. Build one dashboard and fix the size of the dashboard.
  • D. Build one dashboard that has desktop, tablet, and phone layouts, and fix the size of the layouts.
Answer: D
Explanation:
For a consultant designing a dashboard to be consumed across multiple device types, the best approach is:
* Multi-device Layout: Tableau provides the capability to design device-specific layouts within a single dashboard. This feature allows the dashboard to adapt its layout to best fit the screen size and orientation of desktops, tablets, and phones.
* Fixed Size Layouts: By fixing the size of each layout, the consultant can ensure that the dashboard appears consistent and maintains the intended design elements and user experience across devices.
Fixed sizes prevent components from resizing in ways that could disrupt the dashboard's readability or functionality.
* Implementation: In Tableau, you can create these layouts by selecting 'Device Preview' and adding custom layouts for each device type. Here, you define the dimensions and the positioning of sheets and controls tailored to each device's typical viewing mode.
References
This approach leverages Tableau's device designer capabilities, which are specifically designed to optimize dashboards for multiple viewing environments, ensuring a seamless user experience regardless of the device used. This functionality is well documented in Tableau's official guides on creating and managing device- specific dashboards.

NEW QUESTION # 98
A client collects information about a web browser customers use to access their website. They then visualize the breakdown of web traffic by browser version.
The data is stored in the format shown below in the related table, with a NULL BrowserID stored in the Site Visitor Table if an unknown browser version accesses their website.

The client uses "Some Records Match" for the Referential Integrity setting because a match is not guaranteed.
The client wants to improve the performance of
the dashboard while also getting an accurate count of site visitors.
Which modifications to the data tables and join should the consultant recommend?
  • A. Add an "Unknown" option to the Browser Table, reference its BrowserID in the Site Visitor Table, and leave the Referential Integrity set to
    "Some Records Match."
  • B. Continue to use NULL as the BrowserID in the Site Visitor Table and change the Referential Integrity to "All Records Match."
  • C. Add an "Unknown" option to the Browser Table, reference its BrowserID in the Site Visitor Table, and change the Referential Integrity to "All Records Match."
  • D. Continue to use NULL as the BrowserID in the Site Visitor Table and leave the Referential Integrity set to "Some Records Match."
Answer: C
Explanation:
To improve the performance of a Tableau dashboard while maintaining accurate counts, particularly when dealing with unknown or NULL BrowserIDs in the data tables, the following steps are recommended:
* Modify the Browser Table: Add a new row to the Browser Table labeled "Unknown," assigning it a unique BrowserID, e.g., 0 or 4.
* Update the Site Visitor Table: Replace all NULL BrowserID entries with the BrowserID assigned to the "Unknown" entry. This ensures every record in the Site Visitor Table has a valid BrowserID that corresponds to an entry in the Browser Table.
* Change Referential Integrity Setting: Change the Referential Integrity setting from "Some Records Match" to "All Records Match." This change assumes all records in the primary table have corresponding records in the secondary table, which improves query performance by allowing Tableau to make optimizations based on this assumption.
References:
Handling NULL Values: Replacing NULL values with a valid unknown option ensures that all data is included in the analysis, and integrity between tables is maintained, thereby optimizing the performance and accuracy of the dashboard.

NEW QUESTION # 99
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.
    . 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.
  • C. 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.
  • D. 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.
Answer: B
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 # 100
A worksheet uses a LOOKUP function to display Sales by Month, Year of Order Date, and sales from the last
12 months. A consultant wants to use a Relative Date Filter to filter for data from the last 12 months.
However, when the consultant does this, the prior year's data is removed from the sheet.
Which two actions should the consultant take to retain the prior year's data after applying the filter? Choose two.
  • A. Replace the LOOKUP function with a FIXED Level of Detail (LOD) expression.
  • B. Create the following calculation: LOOKUP(MIN([Order Date]),0). Filter on that calculation instead of Order Date.
  • C. Set the Relative Date filter as a Context Filter instead of Measure Filter.
  • D. Create the following calculation: DATEDIFF('month', [Order Date], {MAX([Order Date])}) < 12. Hide all False values.
Answer: B,C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
A LOOKUP table calculation requires access to rows outside the filtered date range so that the calculation can reference prior data. When a Relative Date Filter removes older data before the table calculation is evaluated, the LOOKUP loses the needed rows, causing the prior year's data to disappear.
Tableau's order of operations states:
* Relative Date Filters act early (at the dimension filter stage).
* Table calculations act very late.
* To preserve table calculation context, filters must not remove necessary rows.
Two Tableau-documented approaches address this:
Explanation for B
Setting the Relative Date Filter as a Context Filter allows table calculations to operate on the full dataset needed for LOOKUP. Context filters create a separate temporary table, and subsequent filters like table calculations evaluate after the context is established.
This ensures older rows are still available to the LOOKUP function.
Explanation for C
Creating a field such as:
LOOKUP(MIN([Order Date]), 0)
and filtering on this field instead of Order Date converts the filter into a table calculation filter, which occurs after the LOOKUP computation. Tableau documentation explains that table calculation filters preserve the full dataset required for the LOOKUP window.
This ensures that the LOOKUP still has access to last year's values even when filtering for the current 12 months.
Why A is incorrect
Replacing LOOKUP with an LOD changes the logic entirely.
LOD expressions cannot replicate moving-window or lag-type behavior.
Why D is incorrect
DATEDIFF logic can replicate a rolling window, but hiding False values is essentially a manual filter and does not preserve the integrity of the LOOKUP's required partitioning. It also contradicts Tableau's recommended approach for maintaining table calculation context.
* Tableau Order of Operations explaining why table calculation filters preserve data for LOOKUP.
* Tableau documentation on context filters and how they allow more data to remain available for downstream table calculations.
* Tableau guidance on how Relative Date Filters interact with table calculations.
* Best practices for preserving table calculation window rows when filtering.

NEW QUESTION # 101
......
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