DEA-C01 Data Ingestion and Transformation Practice Question
Which TWO AWS services can be used to ingest streaming data from a mobile application into Amazon S3 for near-real-time analytics? (Choose 2.)
⚠ Common exam trap
The DEA-C01 exam often tests the distinction between managed ingestion (Firehose) and raw stream processing (Data Streams), and the trap here is that candidates may incorrectly choose DynamoDB Streams or SQS because they associate 'streaming' with any service containing 'stream' or 'queue', without understanding that DynamoDB Streams only captures internal table changes and SQS requires custom code to write 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 correct choice because it is a fully managed service designed to load streaming data directly into Amazon S3, Redshift, Elasticsearch, or Splunk without requiring custom code. It can capture and transform streaming data from mobile applications in near-real-time and automatically deliver it to S3, making it ideal for near-real-time analytics pipelines.
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 this is correct
Firehose can ingest streaming data and deliver to S3 near real-time.
- ✓
Amazon Kinesis Data Streams
Why this is correct
Data Streams can ingest streaming data; a consumer like Lambda can write to S3.
- ✗
Amazon DynamoDB Streams
Why it's wrong here
DynamoDB Streams captures changes in DynamoDB, not from mobile apps.
- ✗
AWS Glue
Why it's wrong here
Glue is for batch ETL, not real-time ingestion.
- ✗
Amazon SQS
Why it's wrong here
SQS is a message queue; it does not directly deliver to S3.
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.