SAP-C02 Question 627
Select 3Your company runs a high-traffic web application deployed on Amazon EC2 instances behind an Application Load Balancer (ALB). The application experiences unpredictable traffic spikes, and you need to ensure high availability and scalability with minimal operational overhead. Additionally, you have been asked to reduce costs during periods of low traffic. Which combination of actions should you take?
- A
Configure an Auto Scaling group with a dynamic scaling policy based on CPU utilization for the EC2 instances.
- B
Migrate the application to AWS Elastic Beanstalk and enable environment auto-scaling.
- C
Use Spot Instances exclusively in the Auto Scaling group to minimize costs.
- D
Enable AWS Auto Scaling plans to automatically adjust resource capacity based on predictive scaling models.
- E
Set up a scheduled scaling policy to manually adjust the number of EC2 instances based on expected traffic patterns.
Show answer and explanation
Correct answers: A, B, D
Explanation
To ensure high availability and scalability with minimal operational overhead, you should implement dynamic scaling using an Auto Scaling group, migrate to AWS Elastic Beanstalk for simplified management, and leverage AWS Auto Scaling plans for predictive scaling. These solutions provide the necessary flexibility and cost efficiency for handling unpredictable traffic spikes. Using Spot Instances exclusively or relying solely on scheduled scaling would not meet the requirements of this scenario.
- A. Correct.
Configuring an Auto Scaling group with a dynamic scaling policy based on CPU utilization ensures that your application can scale up or down automatically in response to real-time traffic changes. This increases availability and reduces operational overhead.
- B. Correct.
Migrating the application to AWS Elastic Beanstalk simplifies deployment, management, and scaling. Elastic Beanstalk provides built-in auto-scaling and load balancing features, allowing the application to handle traffic spikes with minimal effort.
- C. Incorrect.
Using Spot Instances exclusively in an Auto Scaling group is not recommended for high-availability applications because Spot Instances can be interrupted. A mix of instance types (e.g., On-Demand, Reserved, and Spot) would be more appropriate.
- D. Correct.
AWS Auto Scaling plans leverage predictive scaling models to automatically adjust resource capacity, reducing the need for manual intervention and ensuring cost efficiency during both high and low traffic periods.
- E. Incorrect.
While scheduled scaling can be helpful in predictable scenarios, it is not ideal for unpredictable traffic patterns. Dynamic and predictive scaling options are better suited for this use case.