Amazon Web Services SOA-C02 Exam With Confidence Using Practice Dumps

To manage scaling of EC2 instances in response to variable SQS message loads effectively:

Monitor SQS Queue Size: Utilize Amazon CloudWatch to monitor the number of visible messages in the SQS queue. This metric gives an indication of the workload that needs to be processed by the worker instances.

Metric Math Expression: Create a CloudWatch metric math expression that calculates the approximate number of messages visible per instance. This provides a more precise scaling metric, ensuring that each instance in the Auto Scaling group has a manageable load.

Target Tracking Scaling Policy: Implement a target tracking scaling policy based on this metric math expression. Configure the Auto Scaling group to automatically adjust its size to maintain a target value for the average number of SQS messages per instance. This approach ensures that the EC2 instances scale up during high traffic periods and scale down when the message load decreases.

This solution optimizes resource utilization and cost while maintaining performance by ensuring that the worker processes are neither overwhelmed nor idle.

NAT Gateway resides in public subnet, and traffic should be routed from private subnet to NAT Gateway:

geolocation "Geolocation routing lets you choose the resources that serve your traffic based on the geographic location of your users, meaning the location that DNS queries originate from. For example, you might want all queries from Europe to be routed to an ELB load balancer in the Frankfurt region."

Could be confused with geoproximity - "Geoproximity routing lets Amazon Route 53 route traffic to your resources based on the geographic location of your users and your resources. You can also optionally choose to route more traffic or less to a given resource by specifying a value, known as a bias. A bias expands or shrinks the size of the geographic region from which traffic is routed to a resource" the use case is not needed as per question.