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[General] 100% Pass Quiz EAPA_2025 - High Hit-Rate ArcGIS Pro Associate 2025 Latest Exam S

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【General】 100% Pass Quiz EAPA_2025 - High Hit-Rate ArcGIS Pro Associate 2025 Latest Exam S

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Esri EAPA_2025 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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.

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Esri ArcGIS Pro Associate 2025 Sample Questions (Q69-Q74):NEW QUESTION # 69
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?
  • A. Dictionary
  • B. Attribute-driven
  • C. Bivariate colors
Answer: B
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 # 70
A GIS analyst has an electrical line feature class that contains attributes such as wire gauge and amperage.
The analyst wants to limit acceptable values during the editing process for amperage based on the choice of wire gauge.
Which type of attribute rule should be used?
  • A. Calculation rule
  • B. Constraint rule
  • C. Validation rule
Answer: B
Explanation:
Constraint rules prevent invalid data entry during editing. In this case, a constraint rule ensures that only valid amperage values are allowed based on the chosen wire gauge. If an invalid amperage is entered, the rule will block the edit and display an error message.
* Calculation rule (Option A) automatically calculates values but doesn't prevent invalid inputs.
* Validation rule (Option C) flags invalid data but doesn't prevent edits from being saved.
Therefore, the correct answer is B.
-

NEW QUESTION # 71
An attribute table contains three columns with details of monthly rainfall for three consecutive years. A GIS analyst wants to compare the total rainfall, mean rainfall, and the minimum and maximum rainfall for each year.
Which tool should the analyst use to most efficiently compare this tabular data?
  • A. Create Field Statistics Chart
  • B. Data Engineering view
  • C. Summary Statistics
Answer: B
Explanation:
The Data Engineering view in ArcGIS Pro provides quick access to key statistics (total, mean, min, max, etc.) for any numeric fields in a table. This allows rapid inspection of multiple fields without running separate geoprocessing tools or creating charts.
* Create Field Statistics Chart (Option B) creates charts but is not as efficient for comparing multiple fields simultaneously.
* Summary Statistics (Option C) creates grouped output tables but is more suitable for aggregation across rows, not across multiple fields.

NEW QUESTION # 72
A GIS specialist is adding fields to an existing table using the Add Field geoprocessing tool to conduct analysis. The type of analysis requires numeric data that stores information to 4 decimal points.
Which field type and associated precision and scale meets these requirements?
  • A. Double - Precision 3, Scale 4
  • B. Long - Precision 4, Scale 4
  • C. Float - Precision 4, Scale 4
Answer: A
Explanation:
Double field type supports high-precision floating-point numbers suitable for storing data with multiple decimal places. Precision controls the total number of digits; scale controls the number of digits to the right of the decimal.
* Float has lower precision and is not recommended for accurate decimal storage.
* Long is an integer type and cannot store decimals.
* Double with Precision 3 and Scale 4 allows storing up to 4 decimal places as required.
Therefore, the correct answer is B.
-

NEW QUESTION # 73
A GIS analyst has a countrywide parcel dataset and needs to determine the property owners for the northern region of the country. The analyst wants to find owners whose last name contains Jon.
Which query should the analyst use?
  • A. Region = 'North' OR OwnerName LIKE 'Jon'
  • B. Region = 'North' AND OwnerName LIKE 'Jon'
  • C. Region = 'North' AND OwnerName = 'Jon'
Answer: B
Explanation:
The correct SQL expression should filter parcels that are both in the North region and where the OwnerName field contains 'Jon.' The LIKE operator is appropriate when matching patterns or partial names.
* Option A correctly combines both conditions using AND.
* Option B would include any parcel in the North region or any parcel where OwnerName contains Jon, which is overly broad.
* Option C incorrectly uses exact equality, which would fail to match variations like 'Johnson' or 'Jonas.' Note: The LIKE expression typically includes wildcard characters (e.g., LIKE '%Jon%') but based on provided options, Option A represents the correct logic.
Therefore, the correct answer is A.
-

NEW QUESTION # 74
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