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Esri EAPA_2025 Exam Syllabus Topics:
Topic
Details
Topic 1
- 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 2
- 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 3
- 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.
Esri ArcGIS Pro Associate 2025 Sample Questions (Q48-Q53):
NEW QUESTION # 48
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. Long - Precision 4, Scale 4
- B. Double - Precision 3, Scale 4
- C. Float - Precision 4, Scale 4
Answer: B
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 # 49
Which tool should be used to set the coordinate system of a raster dataset that is currently unknown?
- A. Project Raster
- B. Define Projection
- C. Project
Answer: B
Explanation:
TheDefine Projectiontool is specifically used when a dataset lacks spatial reference metadata-that is, when its coordinate system is labeled as "Unknown." This situation arises when the coordinate system information is missing or was never assigned, and it is necessary to tell ArcGIS what spatial reference the data is already in without altering the data's location or pixel values.
According to ArcGIS Pro documentation and workflow best practices:
"The Define Projection tool assigns a coordinate system to a dataset that does not already have one. It does not alter the dataset's data or coordinate values-only the metadata is updated." This is crucial becauseProjectandProject Rasterare tools thattransformdata from one coordinate system to another, and they require that the data already has a valid defined coordinate system to begin with. Attempting to use either of those tools on data with an unknown projection would be incorrect and could lead to spatial inaccuracies.
Therefore, thecorrect and verified toolfor this situation isDefine Projection.
Reference Topics Covered:
* ArcGIS Pro - Data Management # Defining spatial reference
* ArcGIS Pro - Raster Functions and Georeferencing Workflows
* ArcGIS Pro - Geoprocessing Tool Help (Define Projection vs Project Raster)
* ArcGIS Pro Certification Study Guide - Data Management Domain
NEW QUESTION # 50
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. Generalized Linear Regression (GLR)
- C. Geographically Weighted Regression (GWR)
Answer: C
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 # 51
A cartographer is authoring a layout that currently includes one map and would like to provide additional context by adding another map to the layout.
Which action should the cartographer perform in the layout view?
- A. Add a new map frame.
- B. Add a new layout.
- C. Add a new map view.
Answer: A
Explanation:
A map frame is a container in the layout that displays any map or scene. To add a second map for additional context, the cartographer should insert a new map frame and choose which map it will display. This allows multiple maps to be shown together on the same layout.
* Map view (Option B) refers to a separate view in the interface, not to the printed layout.
* New layout (Option C) creates an entirely separate layout rather than adding to the current one.
Therefore, the correct answer is A.
-
NEW QUESTION # 52
A GIS analyst is working with a dataset that contains state information for the entire country of the United States. The analyst needs to run analysis and create maps for only the State of Idaho. The analyst does not want to manage multiple datasets.
Which method should the analyst use?
- A. Change symbology to Unique Values > Add only Idaho to Classes
- B. Create a Definition Query on the layer Where 'State' = "Idaho"
- C. Select Idaho in the map and use Export Features
Answer: B
Explanation:
Definition Queries filter the data at the layer level based on SQL expressions without creating new datasets.
This allows the analyst to limit the data being displayed and analyzed to Idaho while continuing to use the full dataset behind the scenes.
* Changing symbology (Option A) changes display but does not filter the data for analysis.
* Export Features (Option C) creates a separate dataset, which the analyst wants to avoid.
Therefore, the correct answer is B.
NEW QUESTION # 53
......
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