A team has a machine learning workload that requires GPU resources. They want Pods to be scheduled only on nodes that have GPUs available. Which Kubernetes mechanism should they use to express this requirement?
This question requires Pro
Unlock all 8 questions in this certification
Written by certified professionals · Aligned to official exam objectives
View all Pro featuresMore Scheduling Questions
8 questions
Full Kubernetes and Cloud Native Associate Practice Test
All topics covered
All Kubernetes and Cloud Native Associate Questions
Browse by topic
Related Questions
A workload must run only on nodes labeled disktype=ssd. What is the simplest built-in mechanism to e...
Some nodes are reserved for GPU workloads and should repel regular Pods unless explicitly allowed. W...
An operator has tainted a group of nodes with `dedicated=ml:NoSchedule`. A new ML workload Pod is de...
A Pod spec includes both nodeSelector and required node affinity rules. How does the scheduler evalu...
An operator sets nodeName directly on a Pod even though the spec also includes affinity and anti-aff...
Educational Content — CertQnA practice questions are written against official exam objectives, covering the same domains tested on the real exam. All content is original and independent — not actual exam questions, not affiliated with any certification vendor. Learn more about our content policy