SAP-C02 Design for New Solutions Practice Question
A company wants to implement a serverless data processing pipeline on AWS. The pipeline reads CSV files from Amazon S3, transforms the data, and loads it into Amazon Redshift. Which THREE AWS services should be used to build this pipeline?
⚠ Common exam trap
Candidates often confuse AWS DMS (option A) as a data loading tool for Redshift, but DMS is for database migration, not for serverless file transformation and loading from S3.
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 Lambda
AWS Lambda is correct because it can be triggered by S3 events when a CSV file is uploaded, and it can execute lightweight data transformation logic (e.g., parsing CSV rows, filtering, or converting formats) before loading the data into Amazon Redshift. Lambda is serverless, scales automatically, and integrates natively with S3 and Redshift via the AWS SDK, making it ideal for event-driven, short-running transformations in a serverless pipeline.
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
DMS is for migrating databases, not for data processing.
- ✗
Amazon EC2
Why it's wrong here
EC2 is not serverless; it requires management.
- ✓
AWS Lambda
Why this is correct
Lambda can be triggered by S3 events to start the pipeline.
- ✓
AWS Glue
Why this is correct
Glue performs serverless ETL transformations.
- ✓
Amazon Redshift
Why this is correct
Redshift is the target data warehouse for loading transformed data.
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 |
Go deeper
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