DA0-002 Data Acquisition and Preparation Practice Question
A data architect is designing an ETL pipeline to ingest streaming data from IoT sensors. The data must be available for real-time analytics. Which acquisition method is best?
⚠ Common exam trap
Candidates often confuse 'real-time' with 'frequent batch' and choose hourly polling (Option B), not realizing that real-time analytics requires sub-second latency, not just periodic updates.
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
✓
Real-time streaming via API
Real-time streaming via API is the best method because IoT sensors generate continuous data that must be ingested with sub-second latency for real-time analytics. APIs (e.g., REST, WebSocket, or MQTT) enable event-driven ingestion, allowing the ETL pipeline to process each sensor reading as it arrives, which is essential for time-sensitive use cases like anomaly detection or live monitoring.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Real-time streaming via API
Why this is correct
Streaming provides continuous, low-latency data flow.
- ✗
Poll sensors every hour
Why it's wrong here
Polling every hour still introduces delays and may miss data.
- ✗
Manually upload sensor logs
Why it's wrong here
Manual upload is not scalable and adds human latency.
- ✗
Batch load daily CSV files
Why it's wrong here
Batch loading adds latency, not suitable for real-time.
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JA
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.