DA0-002 Data Acquisition and Preparation Practice Question
A data engineer is designing a data pipeline to ingest streaming data from IoT sensors. The sensors send data every second, and the pipeline must handle bursts of up to 10,000 messages per second. Which approach is most appropriate for capturing this data before processing?
⚠ Common exam trap
CompTIA often tests the misconception that relational databases or data warehouses can handle real-time streaming ingestion at scale, when in fact they require a buffering layer like a message queue to absorb bursts and decouple ingestion from processing.
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
✓
Use a message queue to buffer the incoming data
A message queue (e.g., Apache Kafka, Amazon Kinesis, or RabbitMQ) provides an asynchronous buffer that decouples the high-velocity ingestion (up to 10,000 messages/second) from downstream processing. This allows the pipeline to absorb burst traffic without overwhelming the processing layer, ensures data durability, and supports replayability in case of failures.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Directly write each message to a relational database
Why it's wrong here
Writing each message individually to a relational database cannot absorb 10,000 messages per second; per-row insert overhead and transaction locking throttle throughput and drop bursts. It is tempting because relational stores suit low-volume transactional records needing immediate querying, not high-rate sensor capture.
- ✗
Load directly into a data warehouse
Why it's wrong here
Direct warehouse loading applies schema-on-write transformations and commit overhead per load, so it cannot sustain 10,000 messages per second or absorb bursts without rejecting data. It is tempting because warehouses suit periodic analytical reporting on cleansed data, not raw streaming capture.
- ✓
Use a message queue to buffer the incoming data
Why this is correct
A message queue decouples producers from consumers, buffering bursts of up to 10,000 messages per second so the ingestion tier is not overwhelmed. This satisfies the stem's burst-handling constraint by absorbing spikes and letting downstream processing drain at its own rate.
- ✗
Store data in flat files and process in nightly batches
Why it's wrong here
Nightly flat-file batching delays ingestion by hours, so one-second sensor readings are neither captured nor processed in time and burst spikes are lost. It is tempting because flat files suit bulk historical loads where latency is irrelevant, not continuous streaming capture.
About these practice questions
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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.