PracticeStudy GuidesBlogFlashcardsEspañol
All Practice Exams

200+ Free Salesforce Tableau Data Analyst Practice Questions

Pass your Salesforce Tableau Data Analyst exam on the first try — instant access, no signup required.

✓ No registration✓ No credit card✓ No hidden fees✓ Start practicing immediately
Not publicly published Pass Rate
200+ Questions
100% Free

Loading practice questions...

2026 Statistics

Key Facts: Salesforce Tableau Data Analyst Exam

65%

Passing Score

Official exam guide

60 + 5

Scored + Pilot Questions

Official exam guide

105 min

Exam Duration

Official exam guide

$250

Exam Fee

Official exam guide

41%

Largest Domain

Explore and Analyze Data

$125

Retake Fee

Official exam guide

The current official exam guide lists 60 scored multiple-choice questions plus 5 pilot questions, a 105-minute time limit, a 65% passing score, and a $250 exam fee. The heaviest domain is Explore and Analyze Data at 41%, followed by Create Content at 26%, Connect to and Transform Data at 24%, and Publish and Manage Content at 9%. As of March 9, 2026, no public blueprint or scoring change was found for 2026; the main current Tableau update signal is Winter '26 maintenance content covering newer features like custom themes, dynamic color ranges, dynamic spatial parameters, per-table data source filters, Tableau Agent in Prep, and Bridge support in Prep Cloud.

About the Salesforce Tableau Data Analyst Exam

The Salesforce Tableau Data Analyst exam tracks the Tableau Certified Data Analyst credential for analysts who connect to data, transform it, explore and analyze it, build dashboards and stories, and publish governed content for others to use. The current public exam guide emphasizes practical Tableau authoring judgment across data preparation, calculations, maps, analytics, dashboard design, and publishing workflows rather than memorization of isolated menu paths.

Assessment

60 scored multiple-choice questions plus 5 pilot questions

Time Limit

105 minutes

Passing Score

65%

Exam Fee

$250 (Salesforce / Tableau)

Salesforce Tableau Data Analyst Exam Content Outline

24%

Connect to and Transform Data

Connect to and prepare data from files, databases, and Tableau assets; perform data prep operations; and manage data properties such as roles, types, metadata, and source behavior.

41%

Explore and Analyze Data

Build charts and views, use calculations, filters, groups, sets, parameters, mapping and geospatial features, table calculations, LOD expressions, and analytics-pane capabilities to answer business questions.

26%

Create Content

Create dashboards and stories, design layout and navigation, add interactivity and actions, format content for the audience, and present insights clearly.

9%

Publish and Manage Content

Publish workbooks and data sources, manage permissions and sharing, and understand refresh, subscription, and alert workflows for governed Tableau content.

How to Pass the Salesforce Tableau Data Analyst Exam

What You Need to Know

  • Passing score: 65%
  • Assessment: 60 scored multiple-choice questions plus 5 pilot questions
  • Time limit: 105 minutes
  • Exam fee: $250

Keys to Passing

  • Complete 500+ practice questions
  • Score 80%+ consistently before scheduling
  • Focus on highest-weighted sections
  • Use our AI tutor for tough concepts

Salesforce Tableau Data Analyst Study Tips from Top Performers

1Study in official weight order and spend the largest share of time on the 41% Explore and Analyze Data domain.
2Practice deciding when to use relationships, joins, unions, extracts, and data-source prep steps, because those choices drive many scenario questions.
3Know the difference between row-level calculations, aggregate calculations, table calculations, and LOD expressions; many misses happen because candidates blur those boundaries.
4Get comfortable with filters, parameters, sets, and actions working together inside dashboards, not just as isolated features.
5Build maps, reference lines, trend lines, forecasts, and clustering in hands-on practice so analytics-pane questions feel procedural instead of abstract.
6Treat dashboard work as a design problem: layout, device fit, interactivity, formatting, and audience clarity matter more than decorative polish.
7Review publishing basics, permissions, refresh behavior, subscriptions, and data alerts so the 9% governance block becomes easy points.

Frequently Asked Questions

How many questions are on the Salesforce Tableau Data Analyst exam?

The current official Tableau exam guide lists 60 scored multiple-choice questions plus 5 pilot questions. You have 105 minutes to complete the exam, and the passing score is 65%.

How much does the Tableau Data Analyst exam cost?

The official exam guide lists the exam fee as USD 250 and the retake fee as USD 125. Taxes or local fees may apply depending on your region and delivery method.

What is the most heavily tested domain?

Explore and Analyze Data is the largest section at 41%. That means calculations, chart construction, table calculations, LOD expressions, filters, parameters, sets, maps, and analytics deserve the biggest share of your study time.

What changed for 2026 prep?

As of March 9, 2026, no public change was found to the Tableau Data Analyst exam's four-domain blueprint, question count, time limit, passing score, or fee. The main current Tableau signal is Winter '26 maintenance content covering features such as custom themes, dynamic color ranges, dynamic spatial parameters, relatedness calculations on tooltips, per-table data source filters, Tableau Agent in Prep, and Bridge support in Prep Cloud.

Does Tableau publish a pass rate for this exam?

No. Tableau publishes the passing score, question count, time limit, and fee, but it does not publish a public pass-rate percentage for the Tableau Certified Data Analyst credential.

What should I focus on if I already know basic Tableau charts?

Push beyond simple chart building. You need to be comfortable choosing the right join, union, or relationship; managing data properties; writing calculations and LOD expressions; reasoning through filters and table calculations; building interactive dashboards; and understanding what changes when content is published and governed on Tableau Cloud or Tableau Server.