Task 2.1: Implement Scalability and Elasticity. SOA-C03 Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   A company runs a global e-commerce website that serves product images and static content from an S3 bucket through a CloudFront distribution. The website experiences high traffic during flash sales, and the origin server is often overwhelmed by repeated requests for the same popular images. The operations team wants to reduce the load on the origin and improve response times for users. What should they do?

   • AIncrease the TTL for the CloudFront distribution's default cache behavior
   • BConfigure a Lambda@Edge function to resize images on the fly
   • CUse an ElastiCache cluster in front of the S3 bucket
   • DDisable caching for the distribution to ensure content is always fresh
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   Which DynamoDB capacity mode automatically scales read and write capacity based on actual traffic, without requiring you to manage capacity settings?

   • AProvisioned mode
   • BBurst mode
   • COn-demand mode
   • DAuto scaling mode
   Reveal Solution Discussion Select an answer first
4. 13application · medium

   A company runs a production web application on EC2 instances in an Auto Scaling group behind an Application Load Balancer. The application experiences a predictable spike in traffic every weekday from 9:00 AM to 11:00 AM. The operations team wants to ensure that the Auto Scaling group has enough capacity to handle the spike without waiting for CloudWatch alarms to trigger. What should the team configure?

   • AA target tracking scaling policy based on average CPU utilization
   • BAn EC2 Auto Scaling lifecycle hook to delay instance termination
   • CA scheduled scaling action to increase desired capacity before 9:00 AM and decrease it after 11:00 AM
   • DA step scaling policy with a high alarm threshold
   Reveal Solution Discussion Select an answer first
5. 14application · medium

   An application runs on EC2 instances in an Auto Scaling group. The group currently uses a simple scaling policy that adds one instance when CPU utilization exceeds 80% and removes one instance when it drops below 30%. The operations team notices that during rapid traffic surges, the group adds instances too slowly, causing performance degradation. They need a policy that can add multiple instances quickly based on the magnitude of the load increase. What should they implement?

   • AA lifecycle hook that pauses instance launch
   • BA step scaling policy with multiple steps that add increasing numbers of instances as the alarm breach size grows
   • CA target tracking policy with a CPU utilization target of 50%
   • DAn EC2 Auto Scaling warm pool
   Reveal Solution Discussion Select an answer first
6. 15expert · hard

   A company runs a database workload on Amazon RDS for MySQL. The workload is read-heavy, and the primary instance is at 80% CPU utilization. The operations team has created a read replica, but the replica is also at high CPU utilization. They need to further offload read traffic. The application can be modified to use a different endpoint for reads. What should they do?

   • AIncrease the instance class of the primary instance
   • BUse ElastiCache to cache read queries
   • CEnable Multi-AZ on the read replica
   • DCreate additional read replicas and distribute read traffic across all replicas using a load balancer
   Reveal Solution Discussion Select an answer first