easyMultiple ChoiceObjective-mapped
FC0-U71 Practice Question: Store product catalogs that vary in structure…
A company wants to store product catalogs that vary in structure (different attributes per product). Which type of database is best suited?
⚠ Common exam trap
It's easy for candidates to default to relational databases for all structured data, failing to recognize that 'varying structure' is a key indicator for a NoSQL document store, not a relational or legacy database model.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Document database
A document database (NoSQL) is ideal for storing product catalogs with varying structures because it stores data in flexible, schema-less documents (e.g., JSON or BSON). Each product can have different attributes without requiring predefined columns or schema migrations, unlike relational databases. This allows the company to handle heterogeneous product data efficiently.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Relational database
Why it's wrong here
Relational databases require a fixed schema, which is not ideal for varying attributes.
- ✗
Network database
Why it's wrong here
Network databases support many-to-many but still require predefined schema.
- ✗
Hierarchical database
Why it's wrong here
Hierarchical databases use a tree structure and are less flexible for varied data.
- ✓
Document database
Why this is correct
Document databases store JSON-like documents, allowing each product to have different attributes.
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