SAA-C03 Question 208
Select 2You are designing a disaster recovery (DR) solution for a critical application deployed in AWS. The primary environment handles high traffic, and the standby environment is configured for failover. During testing, you notice that API requests to a critical AWS service in the standby environment are being throttled. What steps should you take to resolve this issue?
- A
Request a service quota increase for the relevant AWS service in the standby environment.
- B
Enable Amazon CloudWatch metrics to monitor throttling in the standby environment.
- C
Modify the standby environment to use AWS Lambda for API requests to avoid throttling.
- D
Use the AWS Service Quotas dashboard to review and adjust limits for the affected service.
- E
Scale out compute resources in the standby environment to distribute the API requests across multiple instances.
Show answer and explanation
Correct answers: A, D
Explanation
To resolve throttling issues in a standby environment, you need to address the root cause, which is the service quota limit. By using the AWS Service Quotas dashboard, you can review the current limits and request a quota increase if necessary. Monitoring tools like CloudWatch are helpful for detecting issues but do not resolve them, and changing compute resources or architectures does not impact service quotas.
- A. Correct.
Requesting a service quota increase is the correct way to handle throttling if the default quota for an AWS service is not sufficient for your workload, especially in a standby environment.
- B. Incorrect.
Enabling Amazon CloudWatch metrics is a good practice for monitoring, but it does not directly resolve throttling issues caused by service quota limits.
- C. Incorrect.
Using AWS Lambda does not solve throttling issues as the throttling is related to the service quota, not the compute type making the API requests.
- D. Correct.
The AWS Service Quotas dashboard is the correct tool to review and manage service quotas for your workloads, including the standby environment.
- E. Incorrect.
Scaling out compute resources may reduce load on individual instances but does not address throttling caused by service quota limits for an AWS service.