Esri ArcGIS API Python Associate Exam Syllabus
Use this quick start guide to collect all the information about Esri ArcGIS API Python Associate (EPYA_2026) Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the EPYA_2026 Esri ArcGIS API for Python Associate 2026 exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual Esri ArcGIS API Python Associate certification exam.
The Esri ArcGIS API Python Associate certification is mainly targeted to those candidates who want to build their career in Developer domain. The Esri Certified ArcGIS API for Python Associate 2026 exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of Esri ArcGIS API Python Associate.
Esri ArcGIS API Python Associate Exam Summary:
| Exam Name | Esri Certified ArcGIS API for Python Associate 2026 |
| Exam Code | EPYA_2026 |
| Exam Price | $295 (USD) |
| Duration | 90 mins |
| Number of Questions | 75 |
| Passing Score | Pass / Fail |
| Schedule Exam | Pearson VUE |
| Sample Questions | Esri ArcGIS API Python Associate Sample Questions |
| Practice Exam | Esri EPYA_2026 Certification Practice Exam |
Esri EPYA_2026 Exam Syllabus Topics:
| Topic | Details | Weights |
|---|---|---|
| Administration |
- Identify portal/organization settings - Identify techniques for managing items, groups, and users - Given a scenario, use the GIS module to manage items, groups, and users |
31% |
| Content Management |
- Identify tools for managing content - Describe the process for managing content - Given a scenario, use the map and features modules to create and manage web map layers - Given a set of requirements, use the gis module to publish and update items |
32% |
| Visualization |
- Identify tools for creating and editing web map and web scene layers - Identify strategies for visualizing non-spatial data - Given a scenario, use the map and features modules to visualize map content |
20% |
| Analyze |
- Given a scenario, identify the appropriate type of analysis - Given a scenario, use the geocode, geometry, features, and raster modules to analyze data - Use spatially enabled DataFrames to prepare data for analysis (GeoAccessor, GeoSeriesAccessor, pandas DataFrame) |
17% |
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