Correct Answer: It provides data-driven recommendations to right-size EC2 instances, EBS volumes, and Lambda functions based on actual usage
Compute Optimizer uses ML to analyze historical resource utilization and provides specific recommendations to save money or improve performance....
Correct Answer
It provides data-driven recommendations to right-size EC2 instances, EBS volumes, and Lambda functions based on actual usage
Why This Answer Is Correct
Compute Optimizer uses ML to analyze historical resource utilization and provides specific recommendations to save money or improve performance.
This question evaluates your knowledge of Amazon EC2 — a core concept tested in AWS Certified Solutions Architect – Professional (SAP-C02). Understanding Amazon EC2 is essential for designing scalable, secure, and cost-effective cloud architectures. Mastery of this topic will help you answer scenario-based questions confidently on exam day.
Your application requires high CPU performance for compute-intensive workloads like video encoding. Which Amazon EC2 instance type is optimized for this?
You are migrating a specialized legacy application to AWS that requires a static MAC address for its licensing server. Standard EC2 instances do not guarantee MAC persistence. Which AWS solution provides this capability?
To reduce the cost of a high-throughput, fault-tolerant analytics workload that uses many EC2 instances, you decide to use Spot Instances. How can you ensure the application handles interruptions gracefully?
You are building a real-time collaborative editing tool. You need a database that can handle sub-millisecond updates to document state with many concurrent writers. Which database should you choose?
What is the primary benefit of 'ARM-based' AWS Graviton3 instances over Intel or AMD based instances for modern workloads like microservices?