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To visualize population change, the attribute (change in population) must be accessible to the county feature layer’s symbology engine. A Join operation adds the table fields directly to the feature layer’s attribute table based on a common key (county field), making the data available for symbology classification.

Relate creates a temporary relationship but does not merge data for symbology purposes.

Spatial Join is used when spatial relationships are needed; here, the relationship is attribute-based.

Join correctly allows the standalone table values to drive symbology on the spatial features.

Therefore, the correct answer is B.

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.

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The Divide tool is designed to split features into multiple equal parts. It supports dividing by area, count, or distance, making it ideal for tasks such as splitting parcels into equal-sized parts.

Split (Option A) cuts features along a user-defined line but does not automatically create equal parts.

Reshape (Option B) modifies feature boundaries but is not used to divide features into multiple parts.

Therefore, the correct answer is C.

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Using the Append tool with Schema Type set to 'Test' ensures that fields in both datasets match before appending. This allows the analyst to verify that fields align correctly and prevents mismatched data from being incorrectly merged.

'No_Test' (Option B) appends records regardless of schema mismatch, which is risky here.

Union (Option C) combines geometries, not designed for updating attribute schemas.

Therefore, the correct answer is A.