Regarding business rules captured during data modeling and requirements analysis, which statement is true?

Introduction / Context:
Business rules define constraints, derivations, and policies that govern data and processes. They are essential inputs to conceptual models and ultimately to database design and application logic.

Given Data / Assumptions:

• Business rules should be clear, verifiable, and implementable.
• They often constrain data values, relationships, and allowable actions.
• Complexity is not a goal; clarity and enforceability are goals.

Concept / Approach:
The accurate statement is that a business rule may include restrictions. Restrictions include value constraints (for example, credit limit must be nonnegative), participation constraints (for example, every order must have at least one line), and timing constraints. Good business rules are written in unambiguous language and should be implementable as constraints, triggers, checks, or application logic.

Step-by-Step Solution:

Verification / Alternative check:
Standards such as SBVR and common modeling methodologies emphasize constraints as a central category of business rules.

Why Other Options Are Wrong:

• It should be complex: complexity is not desired; rules should be as simple as possible while complete.
• Not convertible to code: many rules should be implementable in a DBMS or application to enforce integrity.
• All of the above: incorrect because the first two statements are not good practice.

Common Pitfalls:
Writing vague or overly broad rules that cannot be tested or implemented; rules should be specific and enforceable.

Final Answer:
It may include restrictions.