DEA-C01 Data Ingestion and Transformation Practice Question
A company is building a data lake on Amazon S3 and needs to ingest data from multiple sources. Which of the following AWS services can be used to ingest and transform data in near real-time? (Select TWO.)
⚠ Common exam trap
Many exam-takers confuse Amazon Athena (a query engine) with an ingestion service, or assume SQS alone can perform transformations, when neither service is designed for near real-time data ingestion and transformation into a data lake.
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
✓
AWS Glue
AWS Glue is correct because it provides a serverless ETL (Extract, Transform, Load) service that can ingest data from various sources and transform it in near real-time using its streaming ETL capabilities. Glue can consume data from Amazon Kinesis Data Streams or Apache Kafka, apply transformations using Apache Spark, and write the results to Amazon S3 or other destinations, making it suitable for near real-time data ingestion and transformation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
AWS Glue
Why this is correct
Can be used for ETL jobs triggered by S3 events.
- ✓
Amazon Kinesis Data Firehose
Why this is correct
Can ingest streaming data and transform before delivery to S3.
- ✗
Amazon Athena
Why it's wrong here
Query service, not ingestion.
- ✗
AWS Step Functions
Why it's wrong here
Orchestration service, not for data ingestion.
- ✗
Amazon Simple Queue Service (SQS)
Why it's wrong here
Message queue, not for transformation.
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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Same concept, more angles
1 more way this is tested on DEA-C01
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company is building a data lake on Amazon S3. They need to ingest data from multiple sources, including relational databases, streaming data, and log files. Which THREE AWS services can be used to ingest data into the data lake?
medium- ✓ A.Amazon Kinesis Data Firehose
- ✓ B.AWS Database Migration Service (DMS)
- C.Amazon Athena
- D.Amazon Redshift Spectrum
- ✓ E.AWS Glue
Why A: Amazon Kinesis Data Firehose is a fully managed service for streaming data ingestion that can capture, transform, and load streaming data into Amazon S3 in near real-time. It supports sources like Amazon CloudWatch Logs, AWS IoT, and custom producers via the Kinesis Agent, making it ideal for log files and streaming data.
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.