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…
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)- A74% (26)
- B3% (1)
- C6% (2)
- D17% (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.
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