High Availability

1. A company needs to run a containerized microservices application without managing underlying servers. Which AWS compute service best fits this requirement?

• A.AWS Fargate, which runs containers serverlessly without provisioning or managing EC2 instances.✓ Correct
• B.Amazon EC2, which requires you to provision and manage virtual machines for workloads.
• C.AWS Elastic Beanstalk, which deploys web applications but still provisions EC2 instances underneath.
• D.Amazon Lightsail, which provides simplified virtual private servers for smaller workloads.

2. A developer needs to run short-lived event-driven code that executes only when triggered by an S3 upload. Which AWS compute service is most appropriate?

• A.Amazon EC2 with a scheduled cron job that polls S3 for new uploads every minute.
• B.AWS Lambda, which executes code in response to events without provisioning any servers.✓ Correct
• C.Amazon ECS with a long-running container that monitors the S3 bucket continuously.
• D.AWS Elastic Beanstalk, which hosts web applications and can be triggered by S3 events.

3. Which scaling capability does AWS Lambda provide that distinguishes it from traditional EC2-based architectures?

• A.Lambda scales manually by requiring operators to increase the reserved concurrency limit each time load increases.
• B.Lambda scales automatically by running concurrent function executions in response to incoming event volume.✓ Correct
• C.Lambda scales vertically by increasing the CPU and memory of a single long-running function instance.
• D.Lambda scales using Auto Scaling groups attached to underlying EC2 instances that run function code.

4. A company runs a stateless web application on Amazon ECS. As traffic increases, which ECS feature enables automatic scaling of the number of running tasks?

• A.ECS Service Auto Scaling, which adjusts the desired task count based on CloudWatch metrics like CPU utilization.✓ Correct
• B.EC2 Auto Scaling groups, which scale the container tasks directly without affecting the underlying instances.
• C.AWS Fargate Spot, which replaces terminated tasks with cheaper spot capacity automatically during traffic spikes.
• D.Amazon ECS Capacity Providers, which manually reallocate tasks across clusters when resources are exhausted.

5. What defines 'elasticity' in the context of AWS compute services?

• A.Elasticity means the system can scale up capacity indefinitely without any cost constraints or service limits.
• B.Elasticity is the ability to automatically increase and decrease compute resources to match actual demand in real time.✓ Correct
• C.Elasticity refers to the durability of data stored on compute instances when they are terminated unexpectedly.
• D.Elasticity describes the fixed pool of reserved capacity that AWS allocates to an account for peak workload support.