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Exam EAPA_2025 Braindumps & EAPA_2025 Review Guide
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Esri EAPA_2025 Exam Syllabus Topics:
Topic
Details
Topic 1
- 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.
Topic 2
- Manage and Create Geospatial Data: This section of the exam measures skills of GIS Analyst and covers the creation, organization, and management of both vector and attribute data including proper handling of coordinate systems, schema modifications, and metadata practices.
Topic 3
- 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.
Esri ArcGIS Pro Associate 2025 Sample Questions (Q36-Q41):
NEW QUESTION # 36
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' AND OwnerName LIKE 'Jon'
- B. Region = 'North' AND OwnerName = 'Jon'
- C. Region = 'North' OR OwnerName LIKE 'Jon'
Answer: A
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 # 37
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. Geographically Weighted Regression (GWR)
- B. Generate Spatial Weights Matrix
- C. Generalized Linear Regression (GLR)
Answer: A
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 # 38
A GIS analyst wants to change the coordinate system of a hydrant dataset from WGS 1984 to NAD 1983 UTM Zone 15N.
Which tool will allow the data to be correctly transformed into the new coordinate system?
- A. Define Projection
- B. Project
- C. Project Raster
Answer: B
Explanation:
The Project tool is used to permanently transform vector data from one coordinate system to another. It accurately applies transformation parameters between WGS 1984 and NAD 1983 UTM Zone 15N for feature classes such as hydrants (point data).
* Define Projection only assigns a coordinate system when one is missing or incorrect; it does not transform coordinates.
* Project Raster applies to raster datasets, not vector feature classes like hydrants.
Therefore, the correct answer is C.
-
NEW QUESTION # 39
A GIS analyst is reviewing the work of an intern and realizes that the intern added feature attribute information directly to the attribute table. Many of the features have no geometry and do not display on the map. The analyst uses Check Geometry to identify all features with null geometries.
Which method should the analyst use to allow adding the geometry to existing features so that they can be visualized in the map?
- A. Edit > Modify (Modify Features) > Reshape > Replace Geometry
- B. Analysis > Tools (Geoprocessing) > Data Management > Features > Add Geometry Attributes
- C. Analysis > Tools (Geoprocessing) > Data Management > Features > Repair Geometry
Answer: A
Explanation:
The Replace Geometry tool, accessed via Modify Features in the Edit tab, allows the user to assign or redraw geometry for existing features that are missing it (null shape). This allows previously non-spatial records to be given a spatial location, enabling visualization on the map.
* Repair Geometry is used to fix corrupt geometry but does not create new geometry for null shapes.
* Add Geometry Attributes calculates existing geometry fields but cannot generate geometry for empty features.
* Replace Geometry directly enables assigning missing shapes.
Therefore, the correct answer is B.
NEW QUESTION # 40
A GIS analyst receives a dataset of precipitation change over the past five years, by country, for the entire world. The analyst is creating a map that will display this information. A requirement of the map is to preserve the area of each country.
Which projection should be used?
- A. Equal Earth
- B. Robinson
- C. Mercator
Answer: A
Explanation:
The Equal Earth projection is specifically designed to preserve area across the globe, making it ideal for thematic mapping of global datasets like precipitation change by country. It balances accurate area representation with a visually pleasing appearance for world maps.
* Mercator (Option A) preserves angles but distorts area, especially near the poles.
* Robinson (Option C) is visually pleasing for world maps but distorts both shape and area.
Therefore, the correct answer is B.
-
NEW QUESTION # 41
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