DEA-C01 Data Ingestion and Transformation Practice Question
A data engineer is designing a data ingestion pipeline for streaming social media data. The data must be ingested with low latency (seconds) and stored in Amazon S3 for long-term analytics. The engineer also needs to perform real-time aggregations. Which TWO services should the engineer use? (Choose two.)
⚠ Common exam trap
Watch out — candidates often confuse Amazon Kinesis Data Firehose with Kinesis Data Streams, assuming Firehose can achieve sub-second latency, but Firehose's minimum buffer interval of 60 seconds makes it unsuitable for true real-time ingestion, while Data Streams provides the necessary low-latency ingestion.
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
Amazon Kinesis Data Analytics is correct because it enables real-time processing and aggregation of streaming data using SQL or Apache Flink, allowing the engineer to compute metrics like counts or averages on the fly. Combined with Kinesis Data Streams as the ingestion layer, it provides sub-second latency for both ingestion and analytics, meeting the low-latency requirement.
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 has higher latency and is for delivery, not real-time processing.
- ✗
AWS Glue ETL
Why it's wrong here
Glue ETL is batch-oriented, not real-time.
- ✗
Amazon S3
Why it's wrong here
S3 is storage, not a stream processing service.
- ✓
Amazon Kinesis Data Analytics
Why this is correct
Performs real-time analytics on streaming data.
- ✓
Amazon Kinesis Data Streams
Why this is correct
Provides real-time data 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 |
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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.