Database terminology: in data management, the term “schema” refers to

Introduction / Context:
Precise terminology is essential in databases. “Schema” (often misspelled as “scheme”) is the formal description of how data is structured and related in a database.

Given Data / Assumptions:

• We consider logical structures: tables, attributes, constraints, relationships, views.
• Schema is a blueprint, not data itself.
• Different levels exist (conceptual, logical, physical), but all are designs.

Concept / Approach:
The schema defines entities, attributes, keys, and relationships, plus integrity rules. It is the map used by the DBMS to validate and manage data.

Step-by-Step Solution:
1) Recognize common use: “CREATE SCHEMA / CREATE TABLE” statements define structures.2) Distinguish schema (design) from instances (data content).3) Select the option that captures the “overall structure” meaning.

Verification / Alternative check:
Most DBMS documentation describes schema as the container/definition set for database objects.

Why Other Options Are Wrong:
They do not refer to structural design (service bureau, parent, generic table, routing plan).

Common Pitfalls:
Confusing schema with a specific table or with the data itself.

Final Answer:
The overall structural map (design) of a database.