You are reviewing the GCP billing report for a large enterprise. You notice high costs for Compute Engine. The workloads consist of a baseline of 100 VMs that run 24/7, and an additional 50 VMs that scale up and down dynamically based on daily traffic. Which TWO cost optimization strategies should you apply? (Select TWO)

Cost optimization in Compute Engine relies on matching pricing models to workload patterns. For the 100 VMs running 24/7, Committed Use Discounts (CUDs) offer the deepest savings (up to 70%) for a 1 or 3-year commitment. For the 50 dynamic VMs, you shouldn't commit because they scale down. Instead, rely on Sustained Use Discounts (SUDs), which automatically apply discounts the longer a VM runs in a given month.