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EAPA_2025 PDF Demo & EAPA_2025 Answer questions

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EAPA_2025 Questions Answer & EAPA_2025 German Exam Questions

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Esri EAPA_2025 examination plan:

Topic
Details

Topic 1

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 2

Core Payroll Concepts: This section of the exam measures skills of Payroll Specialists and covers the fundamental principles of payroll operations. It focuses on worker classification, compliance with the Fair Labor Standards Act, employment tax handling, and management of employee benefits. Candidates must understand employee and employer forms, professional responsibility in payroll management, and methods and timing of employee compensation to ensure accurate and lawful payment practices.

Topic 3

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 4

Calculation of the Paycheck: This section of the exam measures skills of Payroll Analysts and covers the detailed components involved in calculating employee pay. It focuses on regular and fringe compensation, tax calculations, and both involuntary and voluntary deductions. Candidates are required to accurately determine employer contributions and total payroll amounts to ensure precise and compliant paycheck processing.

Topic 5

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.

Esri ArcGIS Pro Associate 2025 EAPA_2025 exam questions with solutions (Q23-Q28):

23. question
A land surveyor downloads an Excel sheet from the city website that contains the updated land cover codes with over 30 classes.
Which tool will help the surveyor update their existing land cover data to the new codes?

A. Reclassify Field
B. Reclass By Table
C. Classify grid

Answer: B

Justification:
The Reclass By Table tool allows the surveyor to import a lookup table (such as an Excel sheet) that contains the old and new land cover codes. This is the most efficient method for batch reclassification when many classes are involved.
* Classify Raster (Option A) is used for unsupervised or supervised classification.
* Reclassify Field (Option C) is not a valid ArcGIS Pro tool for raster data reclassification.
Therefore, the correct answer is B.

24. question
In ArcGIS Pro, a GIS analyst adds a mosaic dataset to a map and notices that the entire mosaic area is covered with a black and white checkerboard.
Which tool should the analyst use to make the images visible in the map as part of the mosaic dataset?

A. Repair Mosaic Dataset Paths
B. Build Pyramids
C. Define Overviews

Answer: A

Justification:
The black-and-white checkerboard indicates that the mosaic dataset cannot locate the source rasters. Repair Mosaic Dataset Paths allows the analyst to correct the file paths if the rasters have been moved or renamed, thus restoring visibility.
* Define Overviews (Option A) creates reduced-resolution overviews for fast display but does not fix broken paths.
* Build Pyramids (Option B) builds pyramids for raster display performance but also requires valid data paths first.
Therefore, the correct answer is C.

25. question
In ArcGIS Pro, which tool should be used to change the coordinate system of a dataset to a different coordinate system?

A. Project
B. Convert Coordinate Notation
C. Define Projection

Answer: A

Justification:
The Project tool is used to permanently convert data from one coordinate system to another, recalculating coordinates to match the new spatial reference.
* Define Projection assigns a spatial reference to datasets that do not have one but does not transform coordinates.
* Convert Coordinate Notation converts coordinate formats (such as MGRS, UTM, DMS) but not spatial references.
Therefore, the correct answer is B.
-

26. question
A GIS analyst wants to edit existing parcel data and separate a record into equal parts.
Which Modify Features editing tool should the analyst use to accomplish this task?

A. Split
B. Reshape
C. Divide

Answer: C

Justification:
The Divide tool is designed to split features into multiple equal parts. It supports dividing by area, count, or distance, making it ideal for tasks such as splitting parcels into equal-sized parts.
* Split (Option A) cuts features along a user-defined line but does not automatically create equal parts.
* Reshape (Option B) modifies feature boundaries but is not used to divide features into multiple parts.
Therefore, the correct answer is C.
-

27. question
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?

A. Generalized Linear Regression (GLR)
B. Generate Spatial Weights Matrix
C. Geographically Weighted Regression (GWR)

Answer: C

Justification:
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.

28. question
......

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