devops-engineer video for your company has a machine learning workload running on Google Kubernetes Engine (GKE) that requires high availability and cannot
Your company has a machine learning workload running on Google Kubernetes Engine (GKE) that requires high availability and cannot tolerate node upgrades during active inference tasks. You are tasked with configuring the GKE maintenance strategy to ensure minimal disruption to these critical workloads. What should you do?