DEA-C01 Data Ingestion and Transformation Practice Question
A data engineering team is designing a near-real-time data ingestion pipeline for IoT sensor data. The data must be processed and stored in Amazon S3, with transformations applied before storage. The team needs to handle potential duplicates and ensure exactly-once processing semantics. Which TWO AWS services should be used together? (Choose 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
✓
Amazon Kinesis Data Analytics for Apache Flink
For near-real-time IoT sensor data ingestion with exactly-once processing, Amazon Kinesis Data Streams (option D) provides ordered, durable, and replayable data ingestion. Amazon Kinesis Data Analytics for Apache Flink (option C) consumes from the stream and supports exactly-once semantics through checkpointing and idempotent sinks, enabling duplicate handling. Amazon Kinesis Data Firehose (option A) offers at-least-once delivery only. Amazon SQS (option B) standard queues do not guarantee exactly-once, and FIFO queues cannot handle high-throughput IoT data. AWS DMS (option E) is for database replication, not streaming ingestion.
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 Kinesis Data Firehose
Why it's wrong here
Firehose provides at-least-once, not exactly-once.
- ✗
Amazon Simple Queue Service (SQS)
Why it's wrong here
SQS provides at-least-once, not exactly-once.
- ✓
Amazon Kinesis Data Analytics for Apache Flink
Why this is correct
Flink can provide exactly-once semantics with checkpointing.
- ✓
Amazon Kinesis Data Streams
Why this is correct
Used as a source for Flink with exactly-once processing.
- ✗
AWS Database Migration Service (DMS)
Why it's wrong here
DMS is for database migration, not IoT ingestion.
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.