DEA-C01 Data Operations and Support Practice Question
A data engineer is setting up a data pipeline to ingest streaming data from an IoT fleet. The data must be processed in near real-time and stored in Amazon S3 for analytics. Which THREE AWS services should the engineer consider using?
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
The correct services are Amazon Kinesis Data Streams (option E) for real-time data ingestion, AWS Lambda (option C) for near real-time processing, and Amazon Kinesis Data Firehose (option B) for delivering data to S3. Options A and D are incorrect because Amazon EMR is a big data processing framework not optimized for real-time streaming ingestion, and AWS Glue is primarily a batch ETL service.
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 EMR
Why it's wrong here
EMR is for large-scale batch processing.
- ✓
Amazon Kinesis Data Firehose
Why this is correct
Delivers streaming data to S3.
- ✓
AWS Lambda
Why this is correct
Processes records in near real-time.
- ✗
AWS Glue
Why it's wrong here
Glue is a batch ETL service.
- ✓
Amazon Kinesis Data Streams
Why this is correct
Ingests and stores streaming data.
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 |
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Variation 1. 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?
medium- A.Amazon Athena
- B.AWS Glue
- ✓ C.Amazon Kinesis Data Firehose
- ✓ D.Amazon Kinesis Data Streams
- E.Amazon Simple Queue Service (SQS)
Why C: 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.
JA
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.