DA0-002 Data Concepts and Environments Practice Question
An organization needs to store raw data from IoT sensors in its native format for future analysis. Which storage solution is best suited for this purpose?
⚠ Common exam trap
A common mix-up: candidates confuse a data warehouse with a data lake, assuming both are for storage, but a data warehouse requires ETL and structured schemas, making it unsuitable for raw, native-format IoT data.
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
✓
Data lake
A data lake is designed to store raw data in its native format, including unstructured and semi-structured data from IoT sensors, without requiring a predefined schema. This allows the organization to preserve the original data for future analysis, unlike traditional databases that enforce structure upon ingestion.
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 structured schemas.
- ✓
Data lake
Why this is correct
Data lakes store raw data in native format.
- ✗
Data mart
Why it's wrong here
Data marts are subsets of data warehouses.
- ✗
Data warehouse
Why it's wrong here
Data warehouses store processed, structured data.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DA0-002 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DA0-002 exam.