Salesforce Updated Analytics-Con-301 Exam Questions and Answers by ocean

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.

To flag orders with sales higher than the regional average, the correct calculated field would compare the sum of sales for each order against the average sales of all orders within the same region:

Correct Formula: { FIXED [Order ID] : SUM([Sales]) } > { FIXED [Region] : AVG({ FIXED [Order ID] : SUM([Sales]) }) }

This calculation uses a Level of Detail (LOD) expression:

The left part of the formula { FIXED [Order ID] : SUM([Sales]) } calculates the total sales for each individual order.

The right part { FIXED [Region] : AVG({ FIXED [Order ID] : SUM([Sales]) }) } calculates the average sales per order within each region.

The > operator is used to compare these two values to determine if the sales for each order exceed the regional average.

References

This formula utilizes Tableau's LOD expressions to perform complex comparisons across different dimensions of the data, as explained in Tableau's official training materials on LOD calculations.

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.

Comprehensive and Detailed Explanation From Exact Extract:

Tableau’s upgrade guidance identifies two major drivers for upgrading Tableau Server:

Version Compatibility with Tableau Desktop and Tableau Prep Builder

Tableau Server must be equal to or newer than the version used by Desktop and Prep Builder for publishing.

Organizations upgrading Desktop often must upgrade Server to avoid compatibility issues.

This is a core reason to update a year-old installation.

Security and Bug Fixes

Tableau regularly publishes security patches, bug fixes, and stability enhancements.

Older versions accumulate unresolved security issues that may be identified by security teams.

Tableau explicitly states that upgrading ensures the instance receives the latest security protections.

Option B is incorrect because upgrading does not reduce hardware requirements; in many cases hardware needs may increase.

Option C is incorrect because Tableau Cloud features do not require upgrading Tableau Server. Tableau Cloud enhancements are independent of Server versions.

Therefore, the two conditions that justify upgrading are maintaining compatibility and addressing security vulnerabilities.

Tableau’s version compatibility matrix requiring alignment between Tableau Server and Desktop/Prep.

Upgrade planning documents emphasizing security patches and bug fixes as key upgrade drivers.

Notes describing that performance complaints alone are not solved simply by upgrading.