- EADA 19-001 is 80 multiple-choice questions in 2 hours, delivered via Pearson VUE.
- Data Management is the largest domain at 35%; Analysis & Geoprocessing follows at 20%.
- The exam retired June 30, 2024 - this page is an archived reference, not a bookable test.
- No formal prerequisites exist, but Esri's guide recommends 2+ years of applied ArcGIS experience.
Quick Facts Snapshot
Before diving into domain-by-domain review, keep this single reference block open in another tab while you study. It condenses everything from the official Esri specification into the numbers that actually matter for exam-day planning.
| Attribute | Detail |
|---|---|
| Certifying Body | Environmental Systems Research Institute, Inc. (Esri) |
| Exam Code | EADA 19-001 |
| Question Count | 80 multiple-choice questions |
| Time Limit | 2 hours |
| Language | English |
| Delivery Channel | Pearson VUE |
| Historical Fee | USD 250 |
| Blueprint Version | Copyright-2020 Esri exam guide |
| Current Status | Retired June 30, 2024 (archived reference only) |
For a deeper walkthrough of each number in that table, see the full EADA Certification Cost breakdown and the EADA Exam Dates guide, which covers what "retired" actually means for anyone still holding the credential.
Domain Weights at a Glance
The five-domain blueprint hasn't changed since the copyright-2020 Esri guide, and the weighting is the single most useful thing to memorize before you touch a practice question. Every study hour should map back to this table.
| Domain | Weight |
|---|---|
| Data Management | 35% |
| Analysis & Geoprocessing | 20% |
| Data Manipulation | 17% |
| Visualization | 14% |
| Sharing | 14% |
Want the granular sub-topics behind each percentage? The EADA Exam Domains Guide breaks down every domain into its component skills; this cheat sheet only covers the facts you need memorized cold.
Data Management: The 35% You Cannot Skip
Data Management is not just the largest domain on EADA 19-001 - it's larger than the next domain by 15 percentage points. Treat it as the backbone of your review, not one topic among five.
Data Management (35%)
Candidates must demonstrate fluency with how ArcGIS stores, organizes, edits, and maintains geospatial data across geodatabases and file formats.
- Geodatabase structure: feature datasets, feature classes, domains, subtypes
- Editing workflows: topology rules, versioning, and attribute integrity
- Coordinate systems and projections as they affect stored data
- Data loading, validation, and maintenance tasks inside ArcGIS Pro
Key Takeaway
Every practice session should include at least one Data Management scenario question, since this domain alone can swing your overall score more than any other single area.
Analysis & Geoprocessing Essentials
At 20%, Analysis & Geoprocessing is the second pillar of the exam, and it's where the "existing models and scripts" scope note from Esri matters most. You are expected to run, interpret, and troubleshoot geoprocessing tools - not write original Python code.
Analysis & Geoprocessing (20%)
Focuses on applying geoprocessing tools, working with existing models and scripts, and interpreting spatial analysis output.
- Running and chaining standard geoprocessing tools
- Interpreting and modifying existing models built in ModelBuilder
- Reading and adjusting Python expressions inside tool parameters (not authoring scripts)
- Selecting appropriate analysis tools for common spatial questions
Data Manipulation, Visualization & Sharing
The remaining three domains total 45% combined, and each carries enough weight that skipping any one of them is a real risk to a passing score.
Data Manipulation (17%)
Covers transforming, joining, and reshaping data for analysis-ready use.
- Table joins, relates, and field calculations
- Data conversion between formats and coordinate systems
- Working with ArcGIS Pro Tasks to standardize repeatable workflows
Visualization (14%)
Covers symbolizing, labeling, and presenting spatial data effectively.
- Symbology rules for different data types and analysis goals
- Labeling and map layout fundamentals in ArcGIS Pro
- Choosing appropriate visualization methods for different audiences
Sharing (14%)
Covers publishing and distributing maps, layers, and analysis results.
- Sharing web maps, layers, and packages
- Understanding permissions and item-level sharing settings
- Choosing the right output format for a given audience
If you're still deciding how much total time this exam deserves relative to your current skill level, the How Hard Is the EADA Exam guide and the EADA Pass Rate article both add helpful context beyond this cheat sheet.
Format, Delivery & Registration Logistics
Beyond content, know the mechanics cold. EADA 19-001 was delivered as 80 English-language multiple-choice questions in a 2-hour window through Pearson VUE, at a historical fee of USD 250. The archived core-exam guide lists no formal eligibility prerequisites, but Esri's recommended candidate profile is 2 or more years of applied ArcGIS experience - meaning the exam assumes practical, hands-on familiarity rather than classroom-only exposure.
Key Takeaway
There is no prerequisite gate, but the 80-question, 2-hour format leaves little room to reason out unfamiliar tools in real time - practical ArcGIS Pro experience matters more than memorized definitions.
For the full eligibility picture, including what "no prerequisites" actually means in practice, see EADA Requirements 2026. If you want a line-by-line cost comparison, the EADA Certification Cost breakdown covers the USD 250 fee context in more depth.
A Domain-Weighted Final Review Schedule
If you're using this cheat sheet in the final stretch before a review session, allocate time proportionally to domain weight rather than evenly across all five areas. A simple two-week compression works well for candidates who already have hands-on ArcGIS Pro experience and just need a structured pass.
Heavy Domains
- Days 1-3: Data Management (geodatabases, editing, topology, domains/subtypes)
- Days 4-5: Analysis & Geoprocessing (existing models, geoprocessing tools, Python expressions)
- Days 6-7: Mixed practice questions weighted 35/20 toward these two domains
Remaining Domains + Review
- Days 1-2: Data Manipulation (joins, relates, ArcGIS Pro Tasks)
- Day 3: Visualization (symbology, labeling, layout choices)
- Day 4: Sharing (publishing, permissions, output formats)
- Days 5-7: Full-length timed practice runs and weak-topic drilling
This structure only works if you've already read the detailed breakdown once - the EADA Study Guide 2026 is the right companion resource for building that first-pass understanding before compressing into a final review week.
Archived Status: What It Means for You
EADA 19-001 retired on June 30, 2024. This site now functions as an archived exam reference rather than a currently bookable examination - you cannot register for or sit this specific version through Pearson VUE today. That said, earned certifications do not retire with the exam; anyone who passed while it was active keeps the credential.
If you're researching whether pursuing an ArcGIS credential is still a smart move given the retirement, Is the EADA Certification Worth It? and EADA Jobs both address that from a career-positioning angle rather than a pure exam-prep angle. You can also review general background at What Is EADA? and EADA Meaning if you landed here without full context on the credential itself.
For candidates using this archived material purely to sharpen general ArcGIS Pro fluency, practicing with realistic question formats on our main practice test platform is still a reasonable way to test comprehension of the underlying domains, even outside a live testing window. You can also cross-check your target score expectations against the EADA Passing Score reference and browse additional practice resources for hands-on drilling.
FAQ
No. The exam retired June 30, 2024. This page serves as an archived reference of the historical specification, not a live registration guide.
80 multiple-choice questions, delivered in English, with a 2-hour time limit through Pearson VUE.
Data Management at 35%, followed by Analysis & Geoprocessing at 20%, then Data Manipulation at 17%, and Visualization and Sharing each at 14%.
No. Python programming was outside the stated candidate profile. Candidates worked with existing models, scripts, and Python expressions within tools rather than writing original code.
No. Earned certifications do not retire with the exam; anyone who passed while it was active retains the credential.