DA0-002 Data Concepts and Environments Practice Question
A data engineer is designing a system to handle high-velocity clickstream data from a website. The system must allow low-latency writes and support key-value lookups. Which type of database is most appropriate?
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
✓
Key-value store (e.g., Redis)
A key-value store like Redis is optimized for high-velocity writes and low-latency key-value lookups, making it ideal for clickstream data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Graph database (e.g., Neo4j)
Why it's wrong here
Graph databases are for relationships.
- ✗
Document store (e.g., MongoDB)
Why it's wrong here
Document stores are better for semi-structured documents.
- ✓
Key-value store (e.g., Redis)
Why this is correct
Key-value stores excel at high-speed writes and lookups.
- ✗
Wide-column store (e.g., Cassandra)
Why it's wrong here
Wide-column stores are good for time-series but not specifically key-value.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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