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Desktop Foundations
The Tableau Certified Desktop Foundations exam validates mastery of data connections, visualization fundamentals, calculations, dashboards, and filtering/sorting, enabling candidates to build effective, interactive visual analytics in Tableau.
105
Minutes
60
Questions
65/100
Passing Score
$200
Exam Cost
Who Should Take This
Business analysts, data visualizers, and junior BI developers who have basic Tableau experience and aim to formalize their skills should pursue this certification. It prepares them to design, analyze, and optimize dashboards, supporting data‑driven decision making across organizations and improve reporting efficiency.
What's Covered
1
Domain 1: Data Connection
2
Domain 2: Visualization Fundamentals
3
Domain 3: Calculations
4
Domain 4: Dashboards
5
Domain 5: Filtering and Sorting
6
Domain 6: Maps and Spatial
7
Domain 7: Analytics
8
Domain 8: Publishing and Sharing
What's Included in AccelaStudy® AI
Adaptive Knowledge Graph
Practice Questions
Lesson Modules
Console Simulator Labs
Exam Tips & Strategy
20 Activity Formats
Course Outline
64 learning goals
1
Domain 1: Data Connection
2 topics
Data Sources
- Identify Tableau data source types including live connections, extracts, and published data sources for data access patterns
- Configure data connections to databases, spreadsheets, and cloud sources with join and union operations for data preparation
- Implement data blending with primary and secondary sources, linking fields, and aggregation handling for multi-source analysis
- Analyze data source performance including extract refresh times, query efficiency, and connection reliability for optimization
Data Preparation
- Identify Tableau data preparation features including pivots, splits, and data interpreter for raw data transformation
- Configure data type assignments, field aliases, and geographic role mappings for accurate data representation
- Implement calculated fields with string, date, and logical functions for derived analytical dimensions and measures
- Analyze data quality issues including null values, type mismatches, and granularity problems for data preparation improvement
2
Domain 2: Visualization Fundamentals
2 topics
Chart Types
- Identify fundamental chart types including bar, line, scatter, area, and pie charts and their appropriate data use cases
- Configure mark types, color encoding, size encoding, and label formatting for effective visual data representation
- Implement dual-axis charts, combined charts, and synchronized axes for multi-measure comparative visualization
- Analyze visualization effectiveness including data-ink ratio, cognitive load, and chartjunk identification for design improvement
Formatting
- Identify formatting options including color palettes, font settings, borders, and reference lines for visual refinement
- Configure tooltips with custom formatting, dynamic fields, and viz-in-tooltip for interactive data exploration
- Implement reference lines, bands, and distributions for statistical context in analytical visualizations
- Analyze visual design consistency including color usage, typography, and layout alignment for professional presentation
3
Domain 3: Calculations
2 topics
Basic Calculations
- Identify Tableau calculation types including basic arithmetic, string functions, and date functions for computed analysis
- Configure calculated fields with IF-THEN logic, CASE statements, and nested conditions for analytical categorization
- Implement aggregate calculations with SUM, AVG, COUNT, and COUNTD with LOD awareness for correct aggregation behavior
- Analyze calculation performance including complexity, row-level versus aggregate, and impact on query generation for optimization
Table Calculations
- Identify table calculation concepts including addressing, partitioning, and compute-using for post-aggregate analysis
- Configure running totals, percent of total, and moving averages with appropriate compute-using settings for trend analysis
- Implement rank, index, and window calculations for comparative analysis across dimensions
- Analyze table calculation scope and direction behavior to troubleshoot unexpected results in cross-tab and chart views
4
Domain 4: Dashboards
2 topics
Dashboard Design
- Identify dashboard layout options including tiled, floating, and device-specific layouts for responsive dashboard creation
- Configure dashboard actions including filter, highlight, and URL actions for interactive drill-down user experiences
- Implement dashboard containers with layout management, padding, and sizing for organized visual composition
- Analyze dashboard performance including render time, query count, and complexity for user experience optimization
Interactivity
- Identify interactive features including filters, parameters, and sets for user-controlled data exploration in dashboards
- Configure parameter actions with set actions and filter actions for coordinated multi-sheet interactive analysis
- Implement dynamic zone visibility with parameters and calculations for adaptive dashboard content display
- Analyze user interaction patterns including filter usage, navigation paths, and feature adoption for dashboard design improvement
5
Domain 5: Filtering and Sorting
2 topics
Filter Types
- Identify filter types including dimension, measure, date, and context filters and their evaluation order in Tableau
- Configure interactive filters with single-value, multi-value, and wildcard matching for user-controlled data exploration
- Implement context filters, data source filters, and extract filters for performance optimization and pre-aggregation filtering
- Analyze filter performance impact including cardinality, filter order, and indexing for query optimization
Sets and Groups
- Identify set types including fixed, dynamic, and combined sets and group types for data organization and analysis
- Configure dynamic sets with conditions, top-N, and combined logic for flexible data segmentation in visualizations
- Implement set actions for interactive in-out analysis, proportional comparison, and drill-through navigation
- Analyze set and group utilization patterns to recommend simplified analytical approaches for maintainable workbooks
6
Domain 6: Maps and Spatial
2 topics
Geographic Visualization
- Identify Tableau mapping features including symbol maps, filled maps, and density maps for geographic data visualization
- Configure geographic roles, custom geocoding, and map layers for accurate spatial data representation
- Implement map navigation with zoom controls, lasso selection, and spatial filtering for interactive geographic exploration
- Analyze map visualization effectiveness including spatial accuracy, visual clutter, and geographic context for design improvement
Spatial Analysis
- Identify spatial analysis capabilities including buffer, intersection, and distance calculations for geographic analytics
- Configure dual-layer maps with mark differentiation, transparency, and tooltip customization for multi-dimensional spatial analysis
- Implement custom map backgrounds with WMS connections, Mapbox integration, and image-based mapping for specialized geographic context
- Analyze spatial data quality including geocoding accuracy, boundary precision, and coordinate system compatibility for mapping reliability
7
Domain 7: Analytics
2 topics
Statistical Analysis
- Identify Tableau analytics pane features including trend lines, forecasts, and reference distributions for statistical analysis
- Configure trend lines with model selection, confidence intervals, and p-value display for statistical trend identification
- Implement forecasting with model parameters, prediction intervals, and seasonal adjustment for time-series projection
- Analyze statistical model fit, residual patterns, and prediction accuracy for analytical result validation
LOD Expressions
- Identify Level of Detail expression types including FIXED, INCLUDE, and EXCLUDE for granularity-independent calculations
- Configure FIXED LOD expressions for cohort analysis, customer segmentation, and period-over-period comparison
- Implement nested LOD expressions with multiple dimensions and measures for complex analytical scenarios
- Analyze LOD expression performance including materialization behavior, query complexity, and caching impact for optimization
8
Domain 8: Publishing and Sharing
2 topics
Workbook Publishing
- Identify publishing options including Tableau Server, Tableau Cloud, and Tableau Public for workbook distribution
- Configure publishing settings with data source embedding, credential management, and permission assignment for secure sharing
- Implement scheduled extract refreshes, subscription delivery, and alert configuration for automated data distribution
- Analyze publishing best practices including extract optimization, workbook performance, and user access for efficient distribution
Collaboration
- Identify collaboration features including comments, subscriptions, and favorites for team-based analytics communication
- Configure user permissions with project-level access, workbook sharing, and viewer restrictions for controlled content distribution
- Implement data-driven alerts with threshold conditions, notification frequency, and recipient management for proactive analytics
- Analyze collaboration metrics including workbook views, subscription usage, and alert adoption for analytics engagement assessment
Scope
Included Topics
- All Desktop Foundations exam domains.
- Foundational Tableau Desktop data connection, visualization, calculation, and dashboard fundamentals features and configuration.
- Scenario-driven feature selection at the associate level.
- Key platform concepts and declarative capabilities for Desktop Foundations.
Not Covered
- Apex, Visualforce, LWC, API integrations beyond exam scope.
- Advanced topics beyond foundational scope.
- Unrelated cloud implementations.
- Third-party tool internals.
- Infrastructure deployment beyond admin settings.
Official Exam Page
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