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【Hardware】 100% Pass Quiz Salesforce - Analytics-Con-301 - Unparalleled Dump Salesforce Cer

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Salesforce Certified Tableau Consultant Sample Questions (Q42-Q47):NEW QUESTION # 42
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 and set the size to Automatic.
  • B. Build one dashboard for each type of device and fix the size of the layouts.
  • 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 # 43
A company uses an extract built from Custom SQL joining Claims and Members.
Members have multiple records in both tables # causing data duplication, which results in inflated claim cost trends.
Which approach meets performance and maintenance goals?
  • A. Use Table Calculations to ensure that claim costs are captured at the right granularity.
  • B. Use LOD calculations to ensure that claim costs are captured at the right granularity.
  • C. Replace the Custom SQL with a join between two Physical Tables: Members and Claims.
  • D. Replace the Custom SQL with a relationship between two Logical Tables: Members and Claims.
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The problem:
* Custom SQL joins two multi-row tables, causing# many-to-many duplication.
* This artificially multiplies claim costs.
* The extract becomes heavy and slow due to Custom SQL.
Tableau's recommended solution:
# Use Relationships in the Logical Layer
# Instead of physical joins
# Tableau resolves many-to-many issues automatically
# Query is generated at the appropriate granularity to avoid duplication This is exactly Option A.
Relationships allow the Claims facts to remain at the claim grain and Members to remain at the member grain.
Tableau resolves aggregations correctly, preventing inflated values.
Why the others are incorrect:
B - Physical Join
Would continue the same duplication problem because multi-row joins multiply rows.
C - LODs
Would require complex calculations and are error-prone.
They do NOT fix the duplication in the underlying extract.
D - Table Calculations
Happen after Tableau aggregates the duplicated data - too late to fix the inflated baseline numbers.
Thus, the only correct and modern solution is relationships.
* Relationships documentation explaining resolution of many-to-many granularity issues.
* Guidance recommending avoiding Custom SQL for performance reasons.
* Logical Layer behavior preventing row-duplication errors.

NEW QUESTION # 44
During a Tableau Cloud implementation, a Tableau consultant has been tasked with implementing row-level security (RLS). They have already invested in implementing RLS within their own database for their legacy reporting solution. The client wants to know if they will be able to leverage their existing RLS after the Tableau Cloud implementation.
Which two requirements should the Tableau consultant share with the client? Choose two.
  • A. Only live data connections can be used.
  • B. The RLS in database option must be configured in Tableau Cloud.
  • C. The Tableau Cloud username must exist in the database.
  • D. Both live and extract connections can be used.
Answer: A,C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
In Tableau Cloud, database-level RLS can be used only with live connections because:
* Tableau Cloud issues SQL queries using the logged-in user's identity.
* Extracts break RLS because data is pulled out of the database and stored in Tableau's hyper file.
* To leverage existing RLS rules, Tableau must query the database directly for the user.
Therefore:
Requirement 1:
The Tableau Cloud username (email) must exist in the database
so that the database can enforce RLS using the authenticated identity.
Requirement 2:
Only live data connections support database-native RLS.
Extracts bypass database security and therefore cannot use RLS defined in the database.
Option D is incorrect because RLS is enforced in the database, not configured in Tableau Cloud.
Option B is incorrect because extracts cannot use database RLS.
Thus, correct answers are A and C.
* Tableau Cloud live connection security requirements.
* Database RLS documentation requiring matching database user identities.
* Explanation that extracts bypass database permission systems.

NEW QUESTION # 45
An analyst needs to interactively set a reference date to drive table calculations without leaving a view.
Which action should the analyst use?
  • A. Running action
  • B. Parameter action
  • C. Filter action
  • D. Highlight action
Answer: B
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 # 46
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. Add existing filters to Context.
  • C. Ensure filters are set to display "Only Relevant Values" instead of "All Values in Database."
  • D. Use Filter Actions instead of quick filters.
Answer: A,D
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 # 47
......
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