SAA-C03 Exam Dumps : AWS Certified Solutions Architect - Associate (SAA-C03)

The correct answers are A, B, and C because the company needs to handle a sharp increase in read traffic , maintain high availability , and avoid application changes . These three options improve scaling at different layers of the architecture while remaining aligned with the current application design.

A. Amazon CloudFront helps reduce load on the web tier by caching content closer to users at edge locations. This improves responsiveness and reduces the number of requests that must reach the origin web servers during the marketing event. It is a common way to scale web traffic without changing the application.

B. Auto Scaling for the application layer is also appropriate because the application layer is already described as stateless and supports automatic scaling. Adding or removing EC2 instances based on demand helps the application remain responsive under high load.

C. Amazon Aurora with Aurora Replicas and Aurora Auto Scaling is the best way to scale the relational database layer for read-heavy workloads. Aurora Replicas can offload read traffic from the writer instance, and Aurora Auto Scaling can automatically adjust replica capacity based on demand. This preserves the relational architecture while improving read scalability and availability.

Option D can reduce database read pressure, but adding ElastiCache effectively requires the application to use the cache, which conflicts with the requirement to avoid modifying the application. Option E is incorrect because replacing the ALB with an NLB does not solve the application’s scaling or read-traffic bottlenecks. Option F is incorrect because migrating from a relational database to DynamoDB would require a major redesign.

So the best combination is CloudFront , Auto Scaling for the stateless application tier , and Aurora with read scaling features .

To securely migrate an on-premises Oracle database to Amazon Aurora, the following steps are recommended:

Use AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS): AWS SCT helps convert the source database schema to a format compatible with the target database (Aurora). AWS DMS facilitates the actual data migration, ensuring minimal downtime and data integrity.

Use AWS Site-to-Site VPN: Establishing a Site-to-Site VPN connection provides a secure and encrypted tunnel between the on-premises environment and AWS. This ensures that data transferred during the migration is protected against interception and unauthorized access.

Provisioned Concurrency:

AWS Lambda’s provisioned concurrency ensures that a predefined number of execution environments are pre-warmed and ready to handle requests, reducing latency during traffic spikes.

This solution optimizes costs during low-traffic periods when combined with AWS Application Auto Scaling to dynamically adjust the provisioned concurrency based ondemand.

Incorrect Options Analysis:

Option B: Switching to EC2 would increase complexity and cost for a serverless application.

Option C: A fixed concurrency level may result in over-provisioning during low-traffic periods, leading to higher costs.

Option D: Periodically warming functions does not effectively handle sudden spikes in traffic.