An events company runs a ticketing platform on an Amazon ECS cluster composed of EC2 On-Demand Instances in an Auto Scaling group that uses predictive scaling. The company knows event dates and times in advance, and events cause large traffic spikes. The ECS cluster frequently downloads ticket assets from an Amazon S3 bucket that is in the same AWS Region and account; traffic currently flows across a NAT gateway. The company wants to reduce costs without lowering availability. Which combination of steps will meet these requirements? (Choose two.)

A gateway VPC endpoint for S3 allows traffic to S3 to flow privately within the AWS network, bypassing the NAT Gateway. This eliminates NAT Gateway processing charges and data transfer costs for S3 traffic, reducing costs without impacting availability. Replacing predictive scaling with scheduled scaling is appropriate because the company knows event dates and times in advance. Scheduled scaling can provision resources precisely when needed, preventing over-provisioning (which saves costs) or under-provisioning (which impacts availability) that might occur with predictive scaling trying to learn patterns. Using Spot Instances could reduce costs but might lower availability due to interruptions. On-Demand Capacity Reservations guarantee capacity but don't inherently reduce costs; they can increase them if not fully utilized. S3 Transfer Acceleration is for accelerating uploads/downloads over long distances, not for reducing costs within the same region.