SAP-C02 Question 506
Single answerYour team is designing a multi-account AWS environment for a large enterprise, and you need to ensure that specific service quotas will not be exceeded during peak usage. For example, your application heavily relies on EC2 instances, and your team plans to deploy 50 On-Demand instances in a single region. However, you are concerned about the default EC2 On-Demand instance limits per region. Which of the following actions should you take to ensure uninterrupted deployment?
- A
Use AWS Trusted Advisor to automatically increase the EC2 On-Demand instance limit in the region.
- B
Submit a Service Quota increase request through the AWS Service Quotas console for the EC2 On-Demand instance limit.
- C
Distribute the workload across multiple AWS accounts to avoid exceeding the EC2 On-Demand instance limit in a single account.
- D
Configure an Auto Scaling group with Spot Instances to bypass the EC2 On-Demand instance limit.
Show answer and explanation
Correct answer: B
Explanation
The default On-Demand instance limit per region might not meet your requirements for deploying 50 instances. AWS allows customers to increase service quotas, such as the EC2 On-Demand instance limit, by submitting a request through the Service Quotas console. This is the most straightforward and appropriate solution for the scenario described.
- A. Incorrect.
AWS Trusted Advisor can identify service quota issues but cannot automatically increase service quotas. You must manually request an increase through the Service Quotas console.
- B. Correct.
Submitting a Service Quota increase request is the correct approach to increase the EC2 On-Demand instance limit for a region. AWS allows you to request higher limits based on your needs.
- C. Incorrect.
Distributing workloads across multiple accounts may help manage overall limits, but this does not directly address the EC2 On-Demand instance limit in a given region for a single account.
- D. Incorrect.
Spot Instances use a different quota and do not count towards the On-Demand instance limit. However, this does not solve the specific concern of needing On-Demand instances.