DEA-C01 Data Security and Governance Practice Question
A company is designing a data pipeline that ingests data from an on-premises database to Amazon S3. The data contains personally identifiable information (PII) that must be masked before storage. Which AWS service can be used to mask the data in transit?
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 can invoke an AWS Lambda function to transform and mask data in transit before delivering to Amazon S3. This makes it suitable for masking PII in a streaming pipeline. AWS Glue is designed for batch ETL jobs, not real-time masking during transit. AWS DMS is for database migration, and AWS Data Pipeline orchestrates workflows without native masking capabilities.
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 Database Migration Service (DMS)
Why it's wrong here
AWS DMS is used for database migration, not for data masking in transit.
- ✗
AWS Data Pipeline
Why it's wrong here
AWS Data Pipeline orchestrates workflows but lacks native data masking capabilities.
- ✓
Amazon Kinesis Data Firehose
Why this is correct
Correct. Kinesis Data Firehose can use Lambda functions to perform data transformation, including masking PII, as data flows through the pipeline.
- ✗
AWS Glue
Why it's wrong here
AWS Glue is a batch ETL service; while it can mask data, it is not designed for masking data in transit in a real-time streaming pipeline.
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.