Google Related Exams
Professional-Cloud-DevOps-Engineer Exam
You are managing an MLOps platform on a Google Kubernetes Engine (GKE) cluster that serves two teams:
The Research team runs hundreds of small, daily experiments that can run as capacity allows and are highly cost-sensitive.
The Production team must retrain the company's main language model every Friday at 10:00 PM. This job is business-critical, cannot be interrupted, and must start on time.
You need to configure the modes for Dynamic Workload Scheduler to meet each team's requirements. What should you do?
The new version of your containerized application has been tested and is ready to be deployed to production on Google Kubernetes Engine (GKE) You could not fully load-test the new version in your pre-production environment and you need to ensure that the application does not have performance problems after deployment Your deployment must be automated What should you do?
You support a service with a well-defined Service Level Objective (SLO). Over the previous 6 months, your service has consistently met its SLO and customer satisfaction has been consistently high. Most of your service’s operations tasks are automated and few repetitive tasks occur frequently. You want to optimize the balance between reliability and deployment velocity while following site reliability engineering best practices. What should you do? (Choose two.)