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Title: 2026 Esri EAPA_2025: ArcGIS Pro Associate 2025 Perfect Latest Learning Material [Print This Page]

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Title: 2026 Esri EAPA_2025: ArcGIS Pro Associate 2025 Perfect Latest Learning Material
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Esri EAPA_2025 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Accounting: This section of the exam measures skills of Payroll Accountants and covers the financial principles tied to payroll reporting. It includes the preparation of payroll journal entries, application of accounting principles, and accurate financial reporting of payroll expenses. Candidates must ensure the integrity of payroll data within the organization¡¯s accounting systems and support financial audits through proper reconciliation and documentation.
Topic 2
  • Audits: This section of the exam measures skills of Payroll Auditors and covers the internal and external auditing processes of payroll operations. It focuses on implementing internal controls, ensuring system integrity, and maintaining compliance with audit policies and procedures. Candidates must understand how to assess third-party controls and coordinate audit activities to safeguard payroll accuracy and financial accountability.
Topic 3
  • Payroll Process and Supporting Systems and Administration: This section of the exam measures skills of Payroll Systems Administrators and covers the operational and technical aspects of payroll management. It focuses on maintaining employee master files, understanding payroll system functionalities, and ensuring business continuity through effective technology use. Candidates must also demonstrate knowledge of system upgrades, maintenance, and project implementation within payroll environments.
Topic 4
  • Payroll Administration and Management: This section of the exam measures skills of Payroll Managers and covers administrative oversight and leadership within payroll departments. It includes establishing and enforcing payroll policies, developing management practices, and ensuring effective communication and customer service. Candidates are also evaluated on their ability to manage staffing, promote employee development, and maintain essential core competencies within payroll teams.
Topic 5
  • Compliance, Research, and Resources: This section of the exam measures the skills of Payroll Compliance Officers and covers the legal and regulatory framework governing payroll processes. It includes escheatment, legislative updates, and regulatory reporting requirements, along with proper record retention and penalty management. Candidates are also expected to understand multi-state taxation, reciprocity rules, and global payroll considerations while efficiently researching and applying compliance resources.

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Esri ArcGIS Pro Associate 2025 Sample Questions (Q27-Q32):NEW QUESTION # 27
A GIS analyst is publishing data that they will use for field collection and to inspect existing assets.
Which type of layer should be shared?
Answer: B
Explanation:
Web feature layers support both visualization and editing (including field collection). They allow field crews to update, add, or inspect asset information in real-time or while working offline.
* Web tile layer (Option B) and Vector tile layer (Option C) support visualization only and do not support editing or inspection of feature attributes.
Therefore, the correct answer is A.
-

NEW QUESTION # 28
A GIS analyst has a buildings feature class. The analyst needs to show the type of building, such as commercial or residential, and extrude the buildings based on height.
Which symbology type should the analyst use to produce the required output?
Answer: A
Explanation:
Attribute-driven symbology allows different fields to control different aspects of visualization. In this case, one field (building type) can control color or symbol category, while another field (building height) controls the 3D extrusion. Attribute-driven symbology is designed specifically for this type of multi-attribute control.
* Bivariate colors (Option B) map two numeric fields into a color grid but do not control extrusion.
* Dictionary symbology (Option C) applies rule-based symbology often used for military or complex symbols, not 3D extrusion.
Therefore, the correct answer is A.
-

NEW QUESTION # 29
A GIS technician is trying to publish an image service to their organization's portal. The technician needs to ensure service stability when rendering client-side by multiple coworkers at once.
Which capability should the technician specify when publishing?
Answer: B
Explanation:
Setting the Maximum Item Size Per Request controls how much data can be requested at one time, balancing server load and client-side rendering. Adjusting this value helps ensure stable performance for multiple concurrent users accessing large imagery datasets.
* Processing templates (Option A) define raster function chains but do not control service stability.
* WMS Service capability (Option C) allows publishing as a WMS service but does not directly address client-side stability for image services.
Therefore, the correct answer is B.
-

NEW QUESTION # 30
A GIS analyst has two datasets: Students and School Districts. The analyst wants to assign a school district to each student based on where the student lives.
Which tool should be used to accomplish this task?
Answer: C
Explanation:
Spatial Join allows you to assign attributes from one layer (School Districts) to features in another layer (Students) based on spatial relationships such as containment or proximity.
* Enrich (Option B) adds demographic or socioeconomic data but is not used for spatial assignment of existing features.
* Summarize Within (Option C) aggregates data within polygons but does not assign attributes to point features.
Therefore, the correct answer is A.
-

NEW QUESTION # 31
A GIS analyst has run Ordinary Least Squares (OLS) regression on a dataset for the country of India in order to determine contributing factors to a phenomenon. While the analysis results seem reliable, there is an asterisk on the Koenker statistic in the output report of the OLS.
Which tool does this asterisk suggest the analyst should run next?
Answer: B
Explanation:
The asterisk on the Koenker statistic indicates non-stationarity in the data-meaning that relationships vary across space. In such cases, Geographically Weighted Regression (GWR) should be run to account for spatial variability and better model local relationships.
* Generate Spatial Weights Matrix (Option B) is used for spatial autocorrelation analyses, not regression refinement.
* Generalized Linear Regression (Option C) is a global model and does not address non-stationarity.
Therefore, the correct answer is A.

NEW QUESTION # 32
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