PDF Version DemoLearn about the difficulty of the Esri EADP19-001 Certification Exam
The Esri EADP19-001 certification exam is a challenging test of the candidate's knowledge of GIS. The exam is designed to measure the candidate's ability to understand and apply concepts related to geographic information systems. It is intended to provide the skills needed to successfully complete the practical portion of the course. The exam consists of 10 sections, each representing a different topic in GIS terminology. Each section has questions that will help you learn and demonstrate your knowledge in each area.
ArcGIS Desktop Professional 19-001: This exam covers all of the topics necessary for a successful career as an ArcGIS Desktop Professional. This includes how to create maps, use tools and manage data, as well as how to display and analyze data in ArcMap, ArcScene and ArcGlobe. You will learn how to work with raster data, perform advanced editing, use databases and much more. In addition, you will learn about using ArcGIS Server for managing large datasets, making it easy for managers and others who need access to geospatial information.
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Certification Topics of Esri EADP19-001 Certification Exam
Topics of Esri EADP19-001 Certification Exam of the following:
- Data Storage 20%
- Data Management 29%
- Visualization & Sharing 27%
- Analysis & Geoprocessing 24%
Reference: https://www.esri.com/training/catalog/5ba1275a46fee07da2714dbe/arcgis-desktop-professional-19-001/
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Prerequisites of Esri EADP19-001 Certification Exam
Prerequisites of Esri EADP19-001 Certification Exam
There are no formal prerequisites for the Esri EADP19-001 certification exam. However, it is recommended to have at least 12 months of experience in the GIS industry.
It is also recommended having an understanding of Esri's ArcGIS Enterprise platform and its components such as ArcGIS Web Adaptor, Portal for ArcGIS, ArcGIS GeoAnalytics Server, ArcGIS GeoEvent Server and ArcGIS Image Server.
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Official link to the Esri EADP19-001 Exam
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Esri EADP19-001 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Storage and Geodatabase Design | 20% | - Coordinate systems and projections - Domains, subtypes, and relationship classes - Geodatabase types and architecture - Data format conversion and management |
| Mapping, Visualization & Sharing | 27% | - 3D visualization and scenes - Exporting and sharing content - Advanced symbology and labeling - Layout design and map production |
| Analysis and Geoprocessing | 24% | - Spatial analysis tools and workflows - ModelBuilder and automation - Python scripting for geoprocessing - Network, surface, and raster analysis |
| Data Management and Editing | 29% | - Metadata creation and maintenance - Attribute management and validation - Advanced feature editing and quality control - Versioning and replication |
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