DOP-C02 Question 162
Select 3A rapidly growing e-commerce company is running its backend on AWS and expects a significant increase in traffic during its upcoming promotional event. The current architecture uses an Auto Scaling group for its EC2 instances behind an Application Load Balancer (ALB). During the last promotion, the company experienced slow scaling and outages due to delays in instance readiness. As a DevOps Engineer, which actions should you take to ensure the application scales efficiently to meet the expected traffic surge?
- A
Configure Auto Scaling group warm-up settings to reduce delays in instance readiness.
- B
Enable EC2 Spot Instances in the Auto Scaling group to handle variable traffic more cost-efficiently.
- C
Pre-scale the Auto Scaling group by manually increasing the desired capacity before the event starts.
- D
Use predictive scaling with Auto Scaling to forecast demand and adjust capacity automatically.
- E
Deploy Elastic Load Balancer (ELB) Classic instead of Application Load Balancer (ALB) to improve performance.
Show answer and explanation
Correct answers: A, C, D
Explanation
To ensure the application scales efficiently during the promotional event, combining strategies like configuring warm-up settings, pre-scaling, and using predictive scaling ensures that the Auto Scaling group is optimized for readiness and scalability. These actions help mitigate delays in instance readiness and proactively adjust capacity to meet traffic demands. While Spot Instances and ELB Classic are unsuitable for this scenario, the correct options focus on improving scalability and availability for critical workloads.
- A. Correct.
Correct. Configuring Auto Scaling group warm-up settings ensures that newly launched instances are not considered available until they are fully initialized, which helps reduce over-provisioning and scaling delays.
- B. Incorrect.
Incorrect. While Spot Instances can reduce costs, they are not ideal for handling critical, predictable traffic surges due to potential interruptions.
- C. Correct.
Correct. Pre-scaling the Auto Scaling group by increasing the desired capacity ensures that sufficient instances are available before the event starts, helping to handle the expected traffic from the onset.
- D. Correct.
Correct. Predictive scaling analyzes historical and forecasted traffic patterns to adjust capacity proactively, ensuring readiness for traffic surges.
- E. Incorrect.
Incorrect. The Elastic Load Balancer (ELB) Classic does not offer performance improvements over the Application Load Balancer (ALB); in fact, ALB is the recommended option for modern architectures.