When assigning geography in SAD, reference the following pairing, not an alternate format.

When assigning geography in SAD, reference the following pairing, not an alternate format.

• A. CSA number : CSA name
• B. ZIP code : city
• C. Provider ID : service area
• D. Region : district

Answer: (A)

Using a stable geographic code paired with its name to reference areas keeps geography references precise and easy to join across datasets. The CSA number paired with the CSA name provides a unique, official identifier (the code) and a human-readable label (the name). This makes data merges reliable even if area names change or if there are places with similar names. ZIP code to city is less reliable because ZIP boundaries are designed for mail delivery, not for strict geography. A single ZIP code can span multiple cities, and some cities extend beyond a single ZIP, which leads to ambiguous mappings. Provider ID to service area relies on internal business units rather than standardized geographic boundaries, so it may not align with external data consistently. Region to district can vary by organization and lacks a universal, fixed code-to-name pairing, making cross-dataset comparisons error-prone. So the CSA number to CSA name pairing is the best choice because it uses a standardized code plus its authoritative label, ensuring clarity and consistency in geography assignments.

Using a stable geographic code paired with its name to reference areas keeps geography references precise and easy to join across datasets. The CSA number paired with the CSA name provides a unique, official identifier (the code) and a human-readable label (the name). This makes data merges reliable even if area names change or if there are places with similar names.

ZIP code to city is less reliable because ZIP boundaries are designed for mail delivery, not for strict geography. A single ZIP code can span multiple cities, and some cities extend beyond a single ZIP, which leads to ambiguous mappings.

Provider ID to service area relies on internal business units rather than standardized geographic boundaries, so it may not align with external data consistently.

Region to district can vary by organization and lacks a universal, fixed code-to-name pairing, making cross-dataset comparisons error-prone.

So the CSA number to CSA name pairing is the best choice because it uses a standardized code plus its authoritative label, ensuring clarity and consistency in geography assignments.