Esri EAPA_2025 Exam With Confidence Using Practice Dumps

For categorical (classified) rasters such as land-use data, Nearest Neighbor interpolation must be used during resampling. This technique preserves the original class values without introducing fractional or interpolated values.

Cubic (Option A) and Bilinear (Option B) are interpolation methods suited for continuous data (elevation, temperature, etc.), but will distort categorical data.

Therefore, the correct answer is C.

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Calculation rules automatically calculate attribute values based on spatial relationships, other attribute values, or predefined logic at the time of feature creation or update. In this scenario, the intersecting building name can be assigned automatically to the site feature using a calculation rule.

Validation rules (Option A) check for rule compliance but don’t assign values.

Constraint rules (Option B) prevent invalid edits but do not calculate fields.

Therefore, the correct answer is C.

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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).