DEA-C01 Data Ingestion and Transformation Practice Question
Which THREE factors should be considered when choosing between Amazon Kinesis Data Streams and Amazon Kinesis Data Firehose for real-time data ingestion? (Choose three.)
⚠ Common exam trap
A common mix-up: candidates assume compression or throughput limits are unique to one service, but both services support compression and throughput is a scaling detail of Streams, not a direct comparison factor for choosing between the two.
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
✓
The need for a fully managed delivery destination
Amazon Kinesis Data Firehose is a fully managed service that automatically delivers streaming data to destinations like Amazon S3, Amazon Redshift, Amazon OpenSearch Service, and Splunk, making it ideal when you need a fully managed delivery destination without managing the ingestion pipeline. In contrast, Amazon Kinesis Data Streams requires you to build and manage consumers to process and deliver data, so if you need a fully managed destination, Firehose is the correct choice.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
The need for a fully managed delivery destination
Why this is correct
Firehose can directly deliver to S3, Redshift, etc., while Streams requires a consumer.
- ✓
Whether the application requires custom data processing logic
Why this is correct
Streams allow custom consumers; Firehose uses built-in transformations.
- ✗
The ability to compress data before storage
Why it's wrong here
Both support compression before delivery to destinations.
- ✓
The latency requirements for data delivery
Why this is correct
Streams provide sub-second latency; Firehose has buffer delays.
- ✗
The maximum throughput supported per shard
Why it's wrong here
Both can scale by adding shards or increasing buffer size.
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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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.