nerdexam
IBM

C1000-176 · Question #9

In the context of auto-scaling, which IBM Cloud service can be used to define policies based on custom metrics?

The correct answer is A. IBM Cloud Kubernetes Service. IBM Cloud Kubernetes Service (IKS) supports auto-scaling with custom metric-based policies through its integration with the Kubernetes Horizontal Pod Autoscaler (HPA) and custom metrics adapters, allowing you to scale workloads based on application-defined metrics beyond just…

Designing Scalable and Performant Solutions

Question

In the context of auto-scaling, which IBM Cloud service can be used to define policies based on custom metrics?

Options

  • AIBM Cloud Kubernetes Service
  • BIBM Cloud Object Storage
  • CIBM Cloud Databases
  • DIBM Cloud Virtual Servers

How the community answered

(35 responses)
  • A
    74% (26)
  • B
    3% (1)
  • C
    6% (2)
  • D
    17% (6)

Explanation

IBM Cloud Kubernetes Service (IKS) supports auto-scaling with custom metric-based policies through its integration with the Kubernetes Horizontal Pod Autoscaler (HPA) and custom metrics adapters, allowing you to scale workloads based on application-defined metrics beyond just CPU and memory. IBM Cloud Object Storage (B) is a storage service with no compute scaling capabilities. IBM Cloud Databases (C) is a managed database offering that handles its own internal scaling but does not expose policy-based auto-scaling on custom metrics to users. IBM Cloud Virtual Servers (D) does support some scaling, but it operates at the VM level without the flexible, custom-metric policy framework that Kubernetes provides.

Memory tip: Think "K for Kubernetes, K for Knobs" - Kubernetes gives you the most knobs to tune scaling behavior, including custom metrics, making it the go-to answer whenever exam questions involve flexible or custom auto-scaling policies.

Topics

#auto-scaling#custom metrics#Kubernetes scaling#IKS

Community Discussion

No community discussion yet for this question.

Full C1000-176 Practice