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  • Exam Code: EPYA_2026
  • Exam Name: ArcGIS API for Python Associate 2026
  • , Last Updated: Aug 13, 2026
  • Q & A: 0 Questions and Answers
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  • Exam Code: EPYA_2026
  • Exam Name: ArcGIS API for Python Associate 2026
  • , Last Updated: Aug 13, 2026
  • Q & A: 0 Questions and Answers
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Esri EPYA_2026 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Visualization and Mapping15%- Dashboards and apps
  • 1. Building and configuring dashboards
    • 2. Deploying web applications
      - Creating and styling maps
      • 1. Web map and scene definition
        • 2. Symbols, renderers, and pop-ups
          Topic 2: Spatial Analysis and Data Science20%- Data science integration
          • 1. Spatially enabled DataFrames
            • 2. Integration with Python libraries
              - Performing spatial analysis
              • 1. Geoprocessing tools and functions
                • 2. Network and proximity analysis
                  Topic 3: Content and Item Management25%- Creating and managing items
                  • 1. Maps, layers, and data services
                    • 2. Sharing and permissions
                      - Organizational administration
                      • 1. Users, groups, and roles
                        • 2. Licensing and credits
                          Topic 4: ArcGIS API for Python Fundamentals20%- Authentication and security
                          • 1. User authentication
                            • 2. App authentication
                              - API architecture and modules
                              • 1. arcgis package structure
                                • 2. Connection to ArcGIS Online / Enterprise
                                  Topic 5: Spatial Data Management20%- Data publishing and transformation
                                  • 1. Converting data formats
                                    • 2. Hosting and optimizing services
                                      - Working with feature layers
                                      • 1. Attachments and related data
                                        • 2. Querying and editing features

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