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The EAPS19-001B Exam measures the candidate's proficiency in using the ArcGIS API for Python to automate tasks, analyze data, and create spatial data science workflows. EAPS19-001B exam covers various topics such as Python programming fundamentals, working with ArcGIS online and ArcGIS Enterprise, data manipulation, data visualization, and spatial analysis. EAPS19-001B exam also tests the candidate's ability to write efficient and effective Python code, as well as their understanding of best practices and common workflows.
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The ArcGIS API for Python Specialty 19-001B Exam consists of several topics, including working with spatial data, automating GIS tasks, creating and publishing notebooks, performing advanced spatial analytics, and integrating with other technologies such as R and Jupyter. Candidates who successfully pass the exam will demonstrate their capability to work with advanced concepts in ArcGIS API development and effectively integrate the toolset into complex GIS workflows.
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Automation & Integration | 10% | - Integration with Python ecosystem (pandas, NumPy, etc.) - Scripting and workflow automation - Error handling and best practices |
| Topic 2: Spatial Data & Analysis | 30% | - Spatially enabled DataFrames - Raster and imagery processing - Attribute and spatial querying - Geoprocessing and spatial analysis tools |
| Topic 3: API Fundamentals & Authentication | 20% | - Module structure and core architecture - Authentication methods (username/password, API key, OAuth) - GIS object initialization and connection |
| Topic 4: Content & Item Management | 25% | - Publish and share layers, maps, and services - Manage groups, users, and permissions - Search, retrieve, and update portal items |
| Topic 5: Mapping & Visualization | 15% | - Export and visualize outputs - Create and modify maps and scenes - Add and configure layers and symbology |
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