Tableau Desktop-Specialist Exam Details & Actual Exam Questions

Tableau Desktop Specialist Exam Questions

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Certification Vendor:	Tableau (a Salesforce Company)
Exam Name:	Tableau Desktop Specialist Exam
Exam Number:	TDS-C01
Certificate Validity Period:	Lifetime / No expiration
Related Certifications:	Tableau Certified Consultant Tableau Server Certified Associate Tableau Certified Data Analyst
Real Exam Qty:	30–45
Exam Format:	Multiple select, Multiple choice, Hands-on / Scenario-based
Available Languages:	English
Exam Price:	USD $100 (plus local taxes)
Passing Score:	750 (scaled 100–1000; not officially disclosed)
Exam Duration:	60 minutes
Recommended Training:	Tableau Free Training Videos Official Exam Guide Tableau Desktop I: Fundamentals
Exam Registration:	Official Registration Pearson VUE Portal
Sample Questions:	Tableau Desktop-Specialist Sample Questions
Exam Way:	Online proctored or in-person at Pearson VUE test centers
Pre Condition:	No formal prerequisites; recommended 3+ months hands-on experience with Tableau Desktop
Official Syllabus URL:	https://www.tableau.com/learn/certification/desktop-specialist

Section	Weight	Objectives
Understanding Tableau Concepts	15%	- Core principles 1. Visual analytics best practices 2. Tableau file types 3. Aggregation and granularity
Sharing Insights	25%	- Build dashboards and stories 1. Add worksheets and objects 2. Dashboard actions and interactivity 3. Create and navigate stories - Format views 1. Layout and formatting 2. Legends, tooltips, annotations 3. Marks card, color, size, labels
Exploring and Analyzing Data	35%	- Use calculations and analytics 1. Basic calculated fields 2. Quick table calculations 3. Reference lines, Parameters, Sets - Create visualizations 1. Continuous vs Discrete 2. Dimensions vs Measures 3. Common chart types - Apply filters and sorting 1. Manual and computed sorts 2. Dimension, Measure, Date filters 3. Context filters
Connecting to and Preparing Data	25%	- Organize and simplify data 1. Hierarchies, Groups, Bins 2. Joins, Unions, Blends 3. Data types and field roles - Connect to data sources 1. Data Interpreter 2. Live vs Extract connections 3. Supported file types and databases