This KCNA practice question tests your understanding of cloud native observability. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A developer wants to monitor the health of a Kubernetes deployment by checking if the number of ready replicas matches the desired replicas. Which metric from kube-state-metrics should they query?
kube_deployment_status_replicas_ready
This metric shows ready replicas, enabling comparison with desired replicas.
kube_deployment_spec_replicas
Why wrong: This shows desired replicas, but alone doesn't show health.
kube_node_status_condition
Why wrong: Node-level metric, not deployment health.
kube_pod_container_status_running
Why wrong: This is a pod-level metric, not deployment-level.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
kube_deployment_status_replicas_ready
Option A is correct because `kube_deployment_status_replicas_ready` directly exposes the number of ready replicas for a Deployment, which can be compared against `kube_deployment_spec_replicas` to determine if the desired state matches the actual healthy state. This metric is emitted by kube-state-metrics, which generates Prometheus-compatible metrics from Kubernetes API objects, making it the standard choice for monitoring Deployment health.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
kube_deployment_status_replicas_ready
Why this is correct
This metric shows ready replicas, enabling comparison with desired replicas.
Related concept
Read the scenario before looking for a memorised answer.
kube_deployment_spec_replicas
Why it's wrong here
This shows desired replicas, but alone doesn't show health.
kube_node_status_condition
Why it's wrong here
Node-level metric, not deployment health.
kube_pod_container_status_running
Why it's wrong here
This is a pod-level metric, not deployment-level.
Common exam traps
The trap here is that candidates might confuse metrics that show pod state (like `kube_pod_container_status_running`) with Deployment-level readiness, not realizing that a pod can be running but not ready, and that the correct metric must reflect the Deployment's own status field.
Trap categories for this question
Command / output trap
This shows desired replicas, but alone doesn't show health.
Detailed technical explanation
Under the hood, kube-state-metrics watches the Kubernetes API for Deployment objects and exposes `kube_deployment_status_replicas_ready` from the Deployment's `.status.readyReplicas` field, which is updated by the ReplicaSet controller based on pod readiness probe results. In a real-world scenario, a mismatch between `kube_deployment_status_replicas_ready` and `kube_deployment_spec_replicas` can indicate issues like resource constraints, failing readiness probes, or a misconfigured rolling update strategy, enabling proactive alerting.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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What to study next
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FAQ
Cloud Native Observability — This question tests Cloud Native Observability — Read the scenario before looking for a memorised answer..
The correct answer is: kube_deployment_status_replicas_ready — Option A is correct because `kube_deployment_status_replicas_ready` directly exposes the number of ready replicas for a Deployment, which can be compared against `kube_deployment_spec_replicas` to determine if the desired state matches the actual healthy state. This metric is emitted by kube-state-metrics, which generates Prometheus-compatible metrics from Kubernetes API objects, making it the standard choice for monitoring Deployment health.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
This KCNA practice question is part of Courseiva's free CNCF certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the KCNA exam.
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