SAP-C02 Design for New Solutions Practice Question
A company is designing a new application that requires a relational database. The application has variable workloads with predictable spikes. The company wants to minimize costs while ensuring that the database can handle the spikes. Which Amazon RDS feature should the company use?
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
✓
RDS Proxy
RDS Proxy is the correct choice because it acts as a connection pooling layer that efficiently manages database connections, allowing the application to handle variable workloads and predictable spikes without overwhelming the database. It reduces the overhead of connection management and improves scalability. RDS Storage Auto Scaling only scales storage capacity, not compute or connection handling, and thus does not address workload spikes. Read Replicas are useful for offloading read traffic but do not provide automatic scaling for unpredictable spikes. Multi-AZ deployment ensures high availability and failover but does not scale the database for variable 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.
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RDS Storage Auto Scaling
Why it's wrong here
RDS Storage Auto Scaling automatically increases storage capacity when running out of space, but it does not scale compute resources or manage connection spikes. It is not designed to handle variable workloads with predictable spikes in transaction volume.
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Read Replicas
Why it's wrong here
Read Replicas allow you to offload read traffic, improving read scalability, but they do not automatically adjust to handle spikes in connections or overall workload, and they add cost without directly addressing connection management.
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RDS Proxy
Why this is correct
RDS Proxy is a fully managed database proxy that pools and shares database connections, which helps applications scale and handle unpredictable surges in traffic. It reduces connection overhead and improves resilience during spikes, making it the best fit for variable workloads.
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Multi-AZ deployment
Why it's wrong here
Multi-AZ deployment provides synchronous replication to a standby instance for failover, ensuring high availability, but it does not provide any scaling benefits for variable workloads or spikes in traffic.
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