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Manage and provision cloud infrastructureeasyMultiple ChoiceObjective-mapped

Google PCA Manage and provision cloud infrastructure Practice Question

A developer needs to deploy a containerized application on Google Kubernetes Engine (GKE) with minimal operational overhead. They want to automatically scale the number of pods based on CPU utilization. Which GKE feature should they use?

⚠ Common exam trap

Google Cloud often tests the distinction between horizontal scaling (HPA) and vertical scaling (VPA), where candidates mistakenly choose VPA when the question explicitly asks for scaling the number of pods based on CPU utilization.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Horizontal Pod Autoscaler.

The Horizontal Pod Autoscaler (HPA) is the correct choice because it automatically scales the number of pod replicas in a GKE deployment based on observed CPU utilization (or other custom metrics). This directly meets the requirement of scaling pods with minimal operational overhead, as HPA is a native Kubernetes resource that requires no manual intervention once configured.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Horizontal Pod Autoscaler.

    Why this is correct

    HPA scales pods based on metrics like CPU.

  • Node auto-repair.

    Why it's wrong here

    Node auto-repair fixes node health issues.

  • Vertical Pod Autoscaler.

    Why it's wrong here

    VPA adjusts resource requests, not pod replicas.

  • Cluster Autoscaler.

    Why it's wrong here

    Cluster Autoscaler adjusts node pool size.

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Last reviewed: Jun 30, 2026

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