Auto Scaling practice questions

A company runs a customer portal on an Amazon Aurora PostgreSQL cluster. The application currently connects directly to the writer instance endpoint and keeps long-lived connections open. During a maintenance failover, writes fail until clients are restarted. The team wants the application to reconnect to the correct Aurora endpoint automatically and reduce user-visible write interruptions.

Which change is most likely to achieve this?

A company runs a customer portal on an Amazon Aurora PostgreSQL cluster. The application currently connects directly to the writer instance endpoint and keeps long-lived connections open. During a maintenance failover, writes fail until clients are restarted. The team wants the application to reconnect to the correct Aurora endpoint automatically and reduce user-visible write interruptions.

Which change is most likely to achieve this?

A data engineering team runs a nightly ETL job on EC2. The job can be checkpointed every 5 minutes and can be retried from the last checkpoint if the instance terminates. The job runtime varies from 2 to 4 hours, and the team has no need for a specific instance type, as long as it completes before 7:00 AM local time. They currently run the job on On-Demand EC2, leading to high monthly compute cost.

Which change best reduces cost while maintaining the business deadline?

A company runs an application behind an Application Load Balancer (ALB). An Auto Scaling group (ASG) is configured with desired capacity 2, but it is attached only to subnets in a single Availability Zone. The ALB is healthy because it is configured across multiple Availability Zones.

When the Availability Zone that contains the ASG subnets experiences an outage, what change most directly improves resilience and allows capacity to be restored automatically?

A data engineering team runs a nightly ETL job on EC2. The job can be checkpointed every 5 minutes and can be retried from the last checkpoint if the instance terminates. The job runtime varies from 2 to 4 hours, and the team has no need for a specific instance type, as long as it completes before 7:00 AM local time. They currently run the job on On-Demand EC2, leading to high monthly compute cost.

Which change best reduces cost while maintaining the business deadline?

A marketing team runs a report-generation process that must execute once per day at 02:00 UTC. It usually completes in 10315 minutes, but sometimes takes up to 45 minutes due to varying data volumes. They currently run the workload on an EC2 instance that is always on, which wastes money during off-hours. The team wants to minimize operational overhead and pay mainly for actual execution time.

What is the best architecture choice?

A marketing team runs a report-generation process that must execute once per day at 02:00 UTC. It usually completes in 10315 minutes, but sometimes takes up to 45 minutes due to varying data volumes. They currently run the workload on an EC2 instance that is always on, which wastes money during off-hours. The team wants to minimize operational overhead and pay mainly for actual execution time.

What is the best architecture choice?

A media company runs a 24/7 recommendation engine on EC2 in one AWS Region. The workload is interruption-intolerant, and the team expects steady usage but may change instance families and sizes during planned optimizations. Compared to the current On-Demand setup, they want the lowest cost while avoiding the rigidity of locking to a specific instance type.

What should the solutions architect recommend?

A media company runs a 24/7 recommendation engine on EC2 in one AWS Region. The workload is interruption-intolerant, and the team expects steady usage but may change instance families and sizes during planned optimizations. Compared to the current On-Demand setup, they want the lowest cost while avoiding the rigidity of locking to a specific instance type.

What should the solutions architect recommend?