Tableau TDA-C01 Q&A - in .pdf

  • Exam Code: TDA-C01
  • Exam Name: Tableau Certified Data Analyst
  • Updated: Aug 30, 2026
  • Q & A: 178 Questions and Answers
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  • Exam Code: TDA-C01
  • Exam Name: Tableau Certified Data Analyst
  • Updated: Aug 30, 2026
  • Q & A: 178 Questions and Answers
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Tableau TDA-C01 Certification Exam is a rigorous and comprehensive certification program for professionals who want to validate their skills in data analysis and visualization using the Tableau platform. Tableau Certified Data Analyst certification exam covers a wide range of topics and requires candidates to have a good understanding of data analysis concepts, data visualization best practices, and the Tableau platform. Tableau Certified Data Analyst certification is a valuable credential for professionals who want to advance their careers in data analysis and visualization and can provide a competitive edge in the job market.

Tableau TDA-C01 (Tableau Certified Data Analyst) Certification Exam is an industry-recognized certification program offered by Tableau, one of the leading data visualization software providers in the world. Tableau Certified Data Analyst certification is designed for professionals who want to validate their skills in data analysis using Tableau, and it is aimed at data analysts, business analysts, and other professionals who want to demonstrate their proficiency in data visualization and analysis.

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Tableau TDA-C01 exam consists of 36 multiple-choice questions to be completed within 90 minutes. TDA-C01 exam evaluates a candidate's proficiency in various areas, including data visualization, data analysis, and dashboard creation. It also assesses the candidate's ability to use Tableau's advanced features such as blending, mapping, and calculations.

Reference: https://www.tableau.com/learn/certification/tableau-certified-data-analyst-exam-guide

Tableau TDA-C01 Exam Syllabus Topics:

SectionWeightObjectives
Create Content26%- Visualization Creation
  • 1. Sorting and chart formatting
    • 2. Bar, line, pie, scatter, histogram, treemap, box plot, etc.
      - Dashboards and Stories
      • 1. Dashboard layout and containers
        • 2. Story points creation
          - Dashboard Formatting
          • 1. Annotations and padding
            • 2. Color, fonts, shapes
              • 3. Responsive layouts
                - Dashboard Interactivity
                • 1. Filters, actions, and highlights
                  • 2. User guidance and tooltips
                    • 3. Navigation and parameter actions
                      Connect to and Transform Data24%- Data Preparation
                      • 1. Pivoting, splitting, Data Interpreter
                        • 2. Data cleaning and validation
                          • 3. Joins, unions, relationships, blending
                            - Field Customization
                            • 1. Discrete vs continuous fields
                              • 2. Aliases and renaming fields
                                • 3. Data types and field properties
                                  • 4. Dimensions vs measures
                                    - Data Connections
                                    • 1. Connect to relational databases and spreadsheets
                                      • 2. Live vs extract connections
                                        • 3. Custom SQL usage
                                          • 4. Connect to data sources
                                            - Tableau Prep Transformations
                                            • 1. Aggregations and shaping data
                                              • 2. Filtering and restructuring data
                                                Explore and Analyze Data41%- Data Structure and Analytics
                                                • 1. Reference lines, bands, distributions
                                                  • 2. Forecasting and trend analysis
                                                    • 3. Sets, groups, hierarchies, bins
                                                      • 4. Geographic mapping (heat, symbol, filled maps)
                                                        - Calculated Fields
                                                        • 1. Type conversions
                                                          • 2. Date, string, numeric, logical calculations
                                                            • 3. FIXED LOD expressions
                                                              • 4. Aggregations
                                                                - Filters and Parameters
                                                                • 1. Top N / conditional filters
                                                                  • 2. Dimension and measure filters
                                                                    • 3. Context filters
                                                                      • 4. Parameters for interactivity
                                                                        - Table Calculations
                                                                        • 1. Running total and moving average
                                                                          • 2. Percent of total and percent difference
                                                                            • 3. Ranking and percentile
                                                                              Publish and Manage Content9%- Scheduling and Automation
                                                                              • 1. Tableau Prep workflow scheduling
                                                                                • 2. Data extract refresh scheduling
                                                                                  - Publishing
                                                                                  • 1. Export and print content
                                                                                    • 2. Publish workbooks and data sources
                                                                                      - Content Management
                                                                                      • 1. Alerts and subscriptions

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