Analytics-Con-301 Dumps With Exact Questions and Answers

Comprehensive and Detailed Explanation From Exact Extract:

Tableau performance documentation explains that rendering speed is strongly affected by the number of marks that Tableau must draw. Each dimension placed on the Detail shelf increases the granularity of the view and increases the number of marks in the visualization.

Removing unnecessary dimensions:

Reduces the number of marks

Reduces rendering time

Decreases memory and CPU usage

Improves interactive performance

Option A (Show Relevant Values) can slow performance because Tableau must dynamically calculate relevancy each time filters change.

Option C is incorrect because COUNTD is one of the slowest aggregate functions in Tableau and does not speed visualization.

Option D is incorrect because adding more sheets increases dashboard load time and rendering workload.

Removing unnecessary fields from Detail is a documented best practice for improving visualization speed.

Tableau Performance Checklist recommending reducing marks and removing unnecessary dimensions.

Rendering optimization guidance explaining how dimensions on Detail expand mark counts.

Best practices discouraging overuse of COUNTD.

Comprehensive and Detailed Explanation From Exact Extract:

The performance degradation originates from string parsing inside Tableau ("last word of Full Name") and then feeding that calculated field into another row-level IF-THEN calculation.

This creates:

Nested calculations

High per-row evaluation load

Slow extract query performance or slow live query generation

Tableau documentation recommends two best-practice approaches:

Solution 1: Precompute the “Last Name” field upstream (Option C)

When the parsing is performed in:

The database

ETL/ELT pipelines

Tableau Prep

then Tableau Desktop receives a clean field with no runtime computation needed.

This significantly reduces row-level calculation burden.

Solution 2: Replace Quick Filters with Action Filters (Option A)

Quick filters are expensive because Tableau:

Runs additional queries to populate filter controls

Re-queries every time the filter changes

Action Filters run directly from the visualization and are far more performant.

This improves the overall dashboard performance without changing logic.

Why the other options are incorrect:

B. Calculate “Last Name” inside the IF THEN calculation

This makes the expression even more complex — worse performance.

D. Change to a CASE statement

CASE does not improve performance when the heavy part of the logic is the string parsing, not the IF-THEN structure.

Thus, A and C are the correct performance-improving choices.

Performance guidance recommending upstream computation of string fields

Filter optimization best practices encouraging Action Filters over Quick Filters

Extract runtime cost reduction strategies

Comprehensive and Detailed Explanation From Exact Extract:

Tableau documentation clearly defines user capabilities per license:

Viewer

Can view dashboards only.

Cannot create Data-Driven Alerts.

Cannot perform ad hoc analysis.→ Insufficient.

Explorer

Can view dashboards.

Can create Data-Driven Alerts.

Can perform ad hoc analysis using existing published data sources.

Does NOT require full creator-level capabilities.→ Meets all requirements at lower cost than Creator.

Creator

Full authoring, data source creation, and prep capabilities.

Higher cost.→ Overkill and violates “minimizes licensing costs.”

Site Administrator

Includes Creator capabilities plus admin privileges.

Most expensive.→ Not appropriate for managers.

Therefore, the correct and most cost-efficient role is Explorer.

Tableau role capability matrix showing Explorers can create alerts and analyze existing data sources.

Licensing guidance recommending Explorer for ad hoc analysis without data-source creation.