Building a Cost-Effective Streaming Ingestion Pipeline with Kinesis Firehose and Glue
A data engineer is ingesting streaming data from thousands of IoT devices into AWS. The data is JSON-formatted and must be stored in Amazon S3 for long-term analytics. Which service is most appropriate for real-time ingestion and routing to S3?
⚠ Common exam trap
Many candidates confuse Kinesis Data Streams with Kinesis Data Firehose, assuming both can directly write to S3, but Data Streams requires a downstream consumer to perform the write, making Firehose the correct choice for direct, managed ingestion to S3.
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 Firehose is the most appropriate service because it is designed for real-time ingestion of streaming data and can directly deliver data to Amazon S3 without requiring custom code. It automatically handles buffering, compression, and partitioning of JSON data, making it ideal for long-term analytics storage.
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 SQS
Why it's wrong here
Amazon SQS is a queue that decouples producers from consumers; it stores messages durably but does not itself route or deliver them into Amazon S3, so a consumer must poll and write. It is tempting for buffering high-volume ingestion, but Amazon Kinesis Data Firehose performs the direct real-time delivery to S3.
- ✓
Amazon Kinesis Data Firehose
Why this is correct
Kinesis Data Firehose ingests streaming records and delivers them to Amazon S3 with built-in buffering, compression and format conversion, requiring no consumer code. That satisfies real-time ingestion from thousands of IoT devices plus durable S3 storage for later analytics.
- ✗
Amazon Kinesis Data Streams
Why it's wrong here
Kinesis Data Streams provides real-time ingestion but requires consumers, such as Kinesis Data Firehose or custom applications, to deliver records into Amazon S3; it does not itself route to S3. It would be correct where multiple custom consumers must read the same stream with replay.
- ✗
AWS Glue
Why it's wrong here
AWS Glue is a serverless ETL service, not a real-time ingestion engine; it lacks native streaming ingestion capabilities and cannot continuously route data from thousands of IoT devices to S3 without batch-oriented triggers or scheduled jobs. It is tempting because Glue can transform and load data into S3 for analytics, making it a correct choice for scheduled or event-driven batch processing of already-landed data, but it does not handle the low-latency, persistent streaming required here.
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
Related to this question
About these practice questions
This DEA-C01 question is part of Courseiva's 1,321-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
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.