DEA-C01 Data Ingestion and Transformation Practice Question
A company is ingesting streaming data from IoT devices into Amazon Kinesis Data Streams. The data must be transformed into Parquet format and stored in Amazon S3. Which AWS service can perform the transformation in near real-time with minimal operational overhead?
⚠ Common exam trap
Watch out — candidates often confuse AWS Glue's batch ETL capabilities with near real-time streaming, or assume that Kinesis Data Analytics is the only option for transformations, overlooking Firehose's simpler managed conversion feature.
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 with a transformation Lambda function
Amazon Kinesis Data Firehose is the fully managed service designed to load streaming data into S3 with built-in data format conversion. By attaching a Lambda transformation function, you can convert incoming records to Parquet format in near real-time without managing any infrastructure, making it the lowest-operational-overhead choice for this task.
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 EMR cluster running Spark Streaming
Why it's wrong here
EMR requires cluster provisioning and management, adding operational overhead.
- ✗
AWS Glue ETL job triggered by Kinesis stream
Why it's wrong here
Glue ETL jobs are batch-oriented and typically run on a schedule, not near real-time.
- ✓
Amazon Kinesis Data Firehose with a transformation Lambda function
Why this is correct
Kinesis Data Firehose can invoke a Lambda function to convert data to Parquet and deliver to S3.
- ✗
Amazon Kinesis Data Analytics for Apache Flink
Why it's wrong here
Kinesis Data Analytics is for real-time analytics, not direct S3 delivery with Parquet conversion.
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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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.