Which of the following is NOT a reason to use packaged data models?

Question

BlackTom AI · Accepted Answer

Packaged data models are prebuilt, reusable schemas or templates that capture common entities, attributes, relationships, and business rules for a domain, so they accelerate design and standardize structure.

Relevant knowledge points:
- Packaged data models provide a starting point (standard entities and relationships), improving readability and consistency across teams.
- They are maintainable: using a standardized model makes future changes easier to apply and propagate.
- They support requirements generation: by giving concrete entity/relationship examples, stakeholders can validate and refine requirements.
- Supertypes/subtypes (generalization/specialization) model inheritance or category hierarchies and are part of expressive data modeling when needed.

Step-by-step reasoning:
1. Consider each option as a possible benefit of packaged models.
2. "Easier to read": Packaged models present standardized naming, conventions, and pre-modeled relationships, which makes diagrams and schemas easier to comprehend—this is a valid reason to use them.
3. "Easer to modify over time" (interpreted as "Easier to modify over time"): A packaged, modular model encourages reuse and centralized updates, simplifying maintenance—valid reason.
4. "Aid in requirements generation": A concrete model helps elicit and verify requirements with stakeholders by showing realistic structures—valid reason.
5. "Avoids supertypes/subtypes": Supertypes/subtypes are modeling constructs used to represent shared attributes and specialized sub-entities. Packaged models do not inherently avoid such constructs; in fact, they often include supertypes/subtypes to accurately represent domain hierarchies. Avoiding supertypes/subtypes is neither a typical goal nor a capability of packaged models.

Why the correct answer is correct:
- The statement "Avoids supertypes/subtypes" describes something packaged models do not aim to accomplish; they are intended to represent domain complexity faithfully, including generalization/specialization where appropriate. Therefore it is NOT a reason to use packaged data models.

Why other options are valid:
- Easier to read: packaged models standardize and clarify structure.
- Easier to modify over time: modular, documented models simplify updates.
- Aid in requirements generation: concrete artifacts help elicit and confirm requirements.

Conclusion: The option "Avoids supertypes/subtypes" is not a reason to use packaged data models, which matches the provided correct answer.

Which of the following is NOT a reason to use packaged data models?单项选择题

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