Which options can help reduce the cost of running workloads on AWS? Select three responses.

Purchasing Reserved Instances for predictable workloads is an effective way to reduce costs on AWS. Reserved Instances provide a significant discount compared to On-Demand pricing when you commit to using a specific instance type in a specific region over a one- or three-year term. This approach is ideal for workloads with consistent usage patterns, as it allows you to optimize your spending by taking advantage of these lower rates.

In addition to this, running batch jobs on Spot Instances can drastically lower costs. Spot Instances allow you to bid on unused EC2 capacity at discounted rates, often significantly less than On-Demand prices. This option is particularly suitable for batch processing tasks that are flexible regarding start and end times, enabling you to take advantage of lower prices when capacity is available.

Utilizing right sizing for your instances further contributes to cost reduction. Right sizing involves selecting the most appropriate instance types and sizes based on the specific resource requirements of your applications. By adjusting the instance types and optimizing resource allocation according to workload needs, you can avoid over-provisioning and ensure you only pay for the resources you actually need.

In summary, using Reserved Instances for predictable workloads, running batch jobs on Spot Instances, and implementing right sizing strategies are all strategies that can contribute to significant cost savings when running