DA0-002 Data Concepts and Environments Practice Question
A data analyst is designing a database for a retail application. Which TWO of the following are valid reasons to use a NoSQL document database like MongoDB instead of a relational database? (Select 2)
⚠ Common exam trap
Many exam-takers assume NoSQL databases are always faster or more consistent, but the exam tests the specific trade-offs: document databases excel at flexible schemas and hierarchical data, not at transactional consistency or complex joins.
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
✓
The data structure evolves frequently
NoSQL document databases like MongoDB are schema-flexible, allowing the data structure to evolve over time without requiring migrations or downtime. This is ideal for agile development where application requirements change frequently, as documents can have varying fields without breaking existing records.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The application requires high-speed transactional consistency
Why it's wrong here
Relational databases provide ACID for transactional consistency.
- ✓
The data structure evolves frequently
Why this is correct
Document stores allow schema flexibility.
- ✓
The data is hierarchical, such as orders with line items
Why this is correct
Document stores can embed nested documents efficiently.
- ✗
The data has a fixed schema with many relationships
Why it's wrong here
Relational databases are better for fixed schema with relationships.
- ✗
The application needs complex joins across multiple tables
Why it's wrong here
NoSQL lacks join capabilities.
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