DEA-C01 In-transit transformation Practice Question
Which TWO AWS services can be used to transform data in transit during ingestion? (Choose 2.)
⚠ Common exam trap
Candidates often mistakenly think that AWS Glue ETL is only for batch processing and cannot transform data in transit, but AWS Glue supports streaming ETL jobs that can transform data during ingestion, making it a valid choice for in-transit transformation.
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 Lambda transformation
Amazon Kinesis Data Firehose can invoke an AWS Lambda function to transform streaming data in real time before delivering it to a destination, making it suitable for transforming data in transit during ingestion. AWS Glue ETL can be used for both batch and streaming transformations; specifically, AWS Glue supports streaming ETL jobs that can transform data in transit as it is ingested from sources like Amazon MSK or Kinesis Data Streams. Therefore, both services can transform data during ingestion, albeit with different use cases and latency characteristics.
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 S3 Transfer Acceleration
Why it's wrong here
Acceleration speeds up uploads, does not transform.
- ✓
Amazon Kinesis Data Firehose with Lambda transformation
Why this is correct
Firehose can call Lambda to transform records.
- ✓
AWS Glue ETL
Why this is correct
Glue can process and transform data during ETL.
- ✗
Amazon Athena
Why it's wrong here
Athena queries data at rest, not in transit.
- ✗
AWS Data Pipeline
Why it's wrong here
Data Pipeline moves data but transformations are limited.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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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.