SAP-C02 Design for New Solutions Practice Question
A company is designing a new data processing pipeline that uses AWS Glue to run ETL jobs. The pipeline must process data from multiple sources with varying schemas and load the results into Amazon Redshift. The data must be partitioned by date and encrypted at rest. Which TWO AWS services or features should the company use to meet these requirements? (Choose two.)
⚠ Common exam trap
The trap here is that candidates might confuse AWS Glue Data Catalog with a storage service or think that Athena or Kinesis can replace Glue for batch ETL, but the Data Catalog is essential for schema management and partitioning, while Athena and Kinesis serve different purposes.
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 S3 server-side encryption
Amazon S3 server-side encryption (SSE) is correct because it provides at-rest encryption for data stored in S3, which is the intermediate storage for AWS Glue ETL jobs. This ensures that all data processed by Glue and loaded into Redshift is encrypted at rest, meeting the security requirement without additional application-level changes.
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 server-side encryption
Why this is correct
S3 SSE provides encryption at rest for data stored in S3.
- ✗
AWS Database Migration Service (DMS)
Why it's wrong here
DMS is for database migration, not for ETL with varying schemas.
- ✗
Amazon Kinesis Data Analytics
Why it's wrong here
Kinesis Data Analytics is for real-time analysis, not ETL loading to Redshift.
- ✗
Amazon Athena
Why it's wrong here
Athena is an interactive query service, not for encryption.
- ✓
AWS Glue Data Catalog
Why this is correct
Glue Data Catalog stores table definitions and partition metadata.
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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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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