Esri EAPA_2025 Dumps Questions Answers

Projecting on the fly allows multiple datasets with different coordinate systems to be visualized together without permanently altering their coordinate system. This is acceptable during exploratory data analysis for visualization purposes but is not suitable for calculations or precise editing.

Calculating area (Option A) requires data to be in a projected coordinate system to ensure accuracy.

High-accuracy editing (Option C) requires consistent spatial reference to avoid distortions.

Exploratory analysis (Option B) allows temporary projection for initial review.

Therefore, the correct answer is B.

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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).

A relationship class defines a permanent association between a feature class and a table or between two feature classes in a geodatabase. Composite relationship classes enforce referential integrity, ensuring that related records remain consistent (e.g., when a parent record is deleted, related child records are also removed).

Attribute join (Option A) is temporary and does not enforce integrity.

Spatial join (Option B) requires spatial relationships and applies only between spatial datasets.

Relationship class (Option C) allows managing relationships between spatial and non-spatial tables with referential integrity.

Therefore, the correct answer is C.

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