Centralized administration: Is the code that defines triggers and stored routines typically stored once in the database catalog and administered centrally, rather than being scattered across every client application?

Introduction / Context:
Triggers and stored routines (procedures and functions) are database-resident code artifacts. Centralizing business rules and data integrity logic in the database can reduce duplication and ensure consistent enforcement across multiple applications. This question checks whether such code is indeed stored in one place and managed centrally by the DBMS.

Given Data / Assumptions:

• We are discussing standard relational DBMS behavior (for example, SQL Server, Oracle, PostgreSQL, MySQL).
• Triggers fire on table or view DML events; stored routines are invoked explicitly.
• Schema definitions and code are maintained in the database’s system catalog and user schemas.

Concept / Approach:
When you CREATE TRIGGER or CREATE PROCEDURE/FUNCTION, the DBMS stores the definitions in the data dictionary (catalog). This central storage means that any client application that modifies data through the database benefits from the same logic without embedding duplicate rules in each client. Change management is simplified: update the routine or trigger once, and all callers observe the new behavior. Security and versioning are likewise centralized via GRANT/REVOKE and deployment scripts. Therefore, it is accurate to say that the code is stored in one location and administered centrally (within the database), not spread throughout clients.

Step-by-Step Solution:

Verification / Alternative check:
Query system views (for example, INFORMATION_SCHEMA.ROUTINES, pg_catalog.pg_proc, USER_TRIGGERS) to list and manage stored code in one place.

Why Other Options Are Wrong:

• Incorrect: Minimizes the role of the catalog and suggests scattering logic into clients.
• Vendor or replica restrictions do not negate the central-storage principle.

Common Pitfalls:
Duplicating business logic both in the database and in multiple services, causing divergence; failing to version-control DDL scripts used to create stored code.

Final Answer:
Correct