SAP-C02 Continuous Improvement for Existing Solutions Practice Question
A company is migrating a legacy application to AWS. The application requires a relational database with high I/O and low latency. The database size is 2 TB and growing. The Solutions Architect must choose a storage solution that provides the best price-performance. Which TWO solutions meet these requirements?
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
✓
Use Amazon Aurora with I/O-Optimized cluster configuration.
Options A and B are correct: Amazon Aurora with I/O-Optimized cluster configuration provides high I/O and low latency for demanding workloads, often at a lower cost than Provisioned IOPS for sustained high I/O. Amazon RDS with Provisioned IOPS (io2) volumes delivers consistent low latency and high throughput, suitable for I/O-intensive applications. Option C is wrong because DynamoDB is a NoSQL database, not a relational one. Option D is wrong because Redshift is a data warehouse for analytics, not a relational database for OLTP. Option E is wrong because gp3 storage is general-purpose and not optimized for high I/O workloads.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use Amazon Aurora with I/O-Optimized cluster configuration.
Why this is correct
Aurora I/O-Optimized is cost-effective for high I/O.
- ✓
Use Amazon RDS with Provisioned IOPS (io2) volumes.
Why this is correct
io2 provides high IOPS and low latency.
- ✗
Use Amazon DynamoDB with provisioned capacity.
Why it's wrong here
DynamoDB is NoSQL, not relational.
- ✗
Use Amazon Redshift with dense compute nodes.
Why it's wrong here
Redshift is for data warehousing.
- ✗
Use Amazon RDS with gp3 storage.
Why it's wrong here
gp3 is for general purpose, not high I/O.
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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