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Latest EAPA_2025 Exam Cram - EAPA_2025 Download Free Dumps
The ArcGIS Pro Associate 2025 (EAPA_2025) certification exam is one of the top-rated career advancement certifications in the market. This ArcGIS Pro Associate 2025 (EAPA_2025) exam dumps have been inspiring beginners and experienced professionals since its beginning. There are several personal and professional benefits that you can gain after passing the Esri EAPA_2025 Exam. The validation of expertise, more career opportunities, salary enhancement, instant promotion, and membership of Esri certified professional community.
Esri EAPA_2025 Exam Syllabus Topics:
Topic
Details
Topic 1
- Create and Share Maps and Layouts: This section of the exam measures skills of GIS Specialist and includes creating polished maps—designing layouts, inserting elements like scale bars, legends, titles, and sharing outputs via print, PDF, or packages for collaboration.
Topic 2
- Perform Analysis and Query Data: This section of the exam measures skills of GIS Specialist and focuses on applying geoprocessing tools to analyze spatial data, running attribute and spatial queries, using overlays, proximities, summaries, and working with environment settings for automated workflows.
Topic 3
- Automate Workflows: This section of the exam measures skills of GIS Specialist and examines your ability to build and manage models using ModelBuilder, construct geoprocessing workflows, chain together tools, and automate repeatable GIS tasks effectively.
Topic 4
- Edit Features and Organize Workflows: This section of the exam measures skills of GIS Analyst and evaluates your competency in editing geospatial features through snapping, templates, sketch tools, performing quality control, and managing simple tasks including map layouts and bookmarks.
Topic 5
- Use Raster and Imagery Data: This section of the exam measures skills of GIS Analyst and tests your ability to work with rasters and imagery including mosaic datasets, raster functions like NDVI, mosaic methods, exporting rasters, and managing raster analysis environments.
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Esri ArcGIS Pro Associate 2025 Sample Questions (Q33-Q38):
NEW QUESTION # 33
A GIS analyst receives a project and data from a colleague. When opening the project, the analyst notices that the data links are broken. All the data is located in the same folder, and the analyst wants to repair all the broken links simultaneously.
Which workflow should the analyst use?
- A. View > Catalog View > Data Sources > Item > New Path > Apply
- B. Click the red exclamation point > Change Data Source
- C. Right-click the layer > Properties > Source > Set Data Source
Answer: A
Explanation:
The Data Sources tab in the Catalog View allows the analyst to repair multiple broken data paths simultaneously by assigning a new folder location. This is the most efficient way to repair multiple broken links at once.
* Set Data Source (Option A) and Change Data Source (Option B) only repair one layer at a time.
* Catalog View > Data Sources (Option C) supports batch repairs.
Therefore, the correct answer is C.
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NEW QUESTION # 34
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. Generate Spatial Weights Matrix
- B. Geographically Weighted Regression (GWR)
- C. Generalized Linear Regression (GLR)
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 # 35
A GIS specialist has a street feature class and wants to add curves to show rounded curbs. The specialist wants to specify a fixed radius to make sure that all curbs are similar for the dataset.
Which Modify Features tool should the specialist use?
- A. Continue Feature
- B. Fillet
- C. Reshape
Answer: B
Explanation:
The Fillet tool creates a rounded arc (curved corner) between two line segments using a specified radius. This ensures consistency in curb radius across all intersections or turns.
* Reshape (Option A) modifies segments but does not create consistent curves.
* Continue Feature (Option C) adds new segments to existing features but does not round or smooth curves.
Therefore, the correct answer is B.
NEW QUESTION # 36
A GIS analyst is working with LAS data with 17 million points on the map. The points are too big and cover the underlying areas completely. The analyst needs to change the dimensions of the points.
Which action should the analyst take to meet this requirement?
- A. Decrease the symbol scale
- B. Decrease the display limit
- C. Increase the point density
Answer: A
Explanation:
Symbol scale determines the size of points when displayed. When LAS points appear too large, decreasing the symbol scale (making symbols smaller) will reduce the visual footprint of each point and prevent them from obscuring underlying map content.
* Increasing point density (Option A) adds more points but doesn't reduce size.
* Decreasing display limit (Option B) reduces how many points are drawn but does not solve the issue of size.
* Decreasing symbol scale directly reduces the size of each point.
Therefore, the correct answer is C.
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NEW QUESTION # 37
A GIS specialist has a feature class of flights that contains information such as origin city, destination city, and the length of time that the flight was delayed. The specialist needs to display this information in a chart and aggregate the delayed time as an average.
- A. Box plot
- B. Scatter plot
- C. Matrix heat chart
Answer: C
Explanation:
ArcGIS Pro'sMatrix Heat Chartis designed for visualizing relationships between two categorical fields- such as origin and destination cities-and summarizing a numeric field, like delay time, using aggregate functions (e.g., mean). This type of chart aligns perfectly with the requirement:
* It allows you to setColumnto the destination city andRowto the origin city.
* Then choose theNumberfield as delay time and theAggregationmethod as "Mean" to calculate average delay.
* The chart displays each origin#destination pair as a cell, color#coded by the calculated average delay.
Official documentation highlights this example explicitly:
"Create a matrix heat chart to identify the flights that have the highest average arrival delay time between origin and destination city by setting the following properties... Aggregation-Mean; Number-DelayTime" Other chart types don't fit the requirement:
* Box plotis used to display distributions and identify outliers; it doesn't aggregate by category pairs.
* Scatter plotshows relationships between numeric variables on a continuous axis-not suitable for categorical city#pair aggregation.
Therefore, the most appropriate choice for summarizing average journey delay by city pairs is theMatrix Heat Chart (C).
NEW QUESTION # 38
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