Your security team mandates that application nodes must not have public IP addresses. The platform team also wants an SLA that survives the loss of a single zone, while eliminating all node-level maintenance tasks and shifting to a pay-per-pod pricing model. Which Google Kubernetes Engine deployment best satisfies all of these requirements?
Create a zonal Autopilot private cluster.
Create a regional Autopilot private cluster.
Create a regional Standard private cluster with node auto-repair enabled.
Create a regional Standard public cluster and enable node auto-upgrade.
A regional Autopilot private cluster meets every stated need:
Autopilot clusters give Google full responsibility for provisioning, patching, and scaling nodes, so there are no node-level maintenance tasks and billing is based on the CPU/memory requested by running Pods.
Autopilot supports creating private clusters in which worker nodes have only internal IP addresses, satisfying the security mandate.
Choosing a regional control plane replicates masters and nodes across at least two zones in the region, allowing the cluster to withstand a single-zone outage.
The other options fail at least one requirement:
A zonal private Autopilot cluster cannot tolerate a zone failure.
A regional standard private cluster still requires the customer to manage and patch nodes and is billed per node.
A regional standard public cluster does not meet the private-node security requirement.
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What is an Autopilot cluster in GKE?
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What is the difference between a private cluster and a public cluster in GKE?
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Why is a regional cluster preferred over a zonal cluster in GKE?
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What is a regional Autopilot private cluster in GCP?
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How does Autopilot differ from Standard mode in GKE?
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What is the benefit of a regional cluster over a zonal cluster in GKE?
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GCP Associate Cloud Engineer
Planning and implementing a cloud solution
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