The company wants to lower costs for its Amazon EC2 and AWS Lambda usage. Which of the following steps should a SysOps administrator perform to help achieve cost reduction goals?

AWS Compute Optimizer analyzes your AWS resource configurations and utilization metrics to recommend optimal AWS resources for your workloads. This helps reduce costs by identifying over-provisioned resources (e.g., EC2 instances or Lambda functions that are too large for their actual usage) and suggesting more cost-effective alternatives without compromising performance. Implementing these recommendations directly addresses cost reduction for EC2 and Lambda. While generating a Cost and Usage Report (CUR) and analyzing it with Athena can identify spending patterns, it doesn't directly provide actionable optimization recommendations for compute resources. An AWS Budgets alert notifies you when spending approaches a threshold but doesn't offer solutions for reducing costs. Purchasing Reserved Instances can save money for predictable, long-running EC2 workloads, but it's a specific purchasing strategy, not a comprehensive optimization tool for both EC2 and Lambda, nor does it address over-provisioning.