DEA-C01 Data Operations and Support Practice Question
A data engineer is designing a data pipeline that ingests streaming data from an IoT device fleet. The data must be processed in near real-time and stored in Amazon S3 for long-term analytics. Which TWO AWS services should the engineer use together to achieve this?
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
✓
Amazon Kinesis Data Firehose
Amazon Kinesis Data Streams (Option D) enables real-time ingestion of streaming data from IoT devices. Amazon Kinesis Data Firehose (Option C) can consume data from a Kinesis Data Stream and deliver it to Amazon S3 for long-term analytics. Option A (Athena) is a query service, not an ingestion or delivery service. Option B (AWS Glue) is designed for batch ETL, not real-time streaming. Option E (SQS) is a message queue service, not optimized for real-time streaming and delivery to S3.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Amazon Athena
Why it's wrong here
Athena is for querying data, not delivering.
- ✗
AWS Glue
Why it's wrong here
AWS Glue is a batch-oriented extract, transform, and load (ETL) service, not a stream-processing engine; it lacks native support for continuous, low-latency ingestion from IoT device fleets, which requires a service like Amazon Kinesis Data Streams or Amazon Managed Streaming for Apache Kafka to handle unbounded data in near real-time. It is tempting because Glue can process and catalogue data stored in Amazon S3 for analytics, and would be the correct choice if the pipeline first buffered the streaming data into S3 via another service and then ran scheduled batch transformations on that landed data.
- ✓
Amazon Kinesis Data Firehose
Why this is correct
Delivers streaming data to S3.
- ✓
Amazon Kinesis Data Streams
Why this is correct
Ingests streaming data in real-time.
- ✗
Amazon Simple Queue Service (SQS)
Why it's wrong here
SQS is for message queuing, not high-throughput streaming.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
Go deeper
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DEA-C01 practice question is part of Courseiva's free Amazon Web Services 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 DEA-C01 exam.