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
A relational database enforces a fixed schema and typed columns, so semi-structured sensor payloads cannot be stored natively without shredding or serialising them. It suits transactional workloads with known structures; raw IoT data retained for future analysis belongs in a data lake.
- ✓
Data lake
Why this is correct
A data lake stores raw data in its native format without transformation or schema enforcement, preserving fidelity for future, possibly unknown, analytical needs. This schema-on-read approach suits high-volume, varied IoT sensor output better than warehouses or relational stores that demand predefined structure.
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Data mart
Why it's wrong here
A data mart holds a curated subset extracted for one business function's reporting, so it cannot retain raw sensor payloads in native format. It suits departmental analytics on modelled data; capturing unprocessed IoT events for future, undetermined analysis requires a data lake.
- ✗
Data warehouse
Why it's wrong here
A data warehouse stores cleansed, modelled, schema-on-write data, so raw sensor payloads would need transformation before loading, losing native fidelity. It suits structured reporting and analytics on conformed dimensions; landing raw IoT data for later analysis belongs in a data lake.
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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.