2026年Jpexamの最新KCNA PDFダンプおよびKCNA試験エンジンの無料共有：https://drive.google.com/open?id=1NgNKeO0X63Zh2LX_1Qe1CcacVScZaWta
KCNA学習ガイドの資料は、常に卓越性と同義語です。 KCNA実践ガイドは、さまざまな資格試験に合格するかどうかに関係なく、ユーザーが簡単に目標を達成するのに役立ちます。当社の製品は、必要な学習教材を提供します。もちろん、KCNAの実際の質問は、ユーザーに試験に関する貴重な経験だけでなく、試験に関する最新情報も提供します。 KCNAの実用的な教材は、他の教材よりも高い歩留まりをもたらす学習ツールです。決心したら、私たちを選んでください！
| Section | Weight | Objectives |
|---|---|---|
| Cloud Native Architecture | 16% | - Cloud Native Principles
|
| Container Orchestration | 22% | - Networking & Storage
|
| Cloud Native Observability | 8% | - Monitoring & Metrics
|
| Cloud Native Application Delivery | 8% | - Delivery Models
|
| Kubernetes Fundamentals | 46% | - Scheduling and Administration
|
この競争が激しい社会では、Jpexamはたくさんの受験生の大好評を博するのは我々はいつも受験生の立場で試験ソフトを開発するからです。例えば、我々のよく発売されているLinux FoundationのKCNA試験ソフトは大量の試験問題への研究によって作れることです。試験に失敗したら全額で返金するという承諾があるとは言え、弊社の商品を利用したほとんどの受験生は試験に合格しました。
質問 # 141
Which of the following capabilities are you allowed to add to a container using the Restricted policy?
正解：D
質問 # 142
Which of the following commands could a cluster administrator use to prevent Pod scheduling in a node temporarily, for maintenance purposes?
正解：B
解説：
The kubectl cordon command marks a node as unschedulable, temporarily preventing new Pods from being scheduled on it while allowing existing Pods to continue running during maintenance.
質問 # 143
Which component of the node is responsible to run workloads?
正解：B
解説：
The verified correct answer is D (the container runtime). On a Kubernetes node, the container runtime (such as containerd or CRI-O) is the component that actually executes containers-it creates container processes, manages their lifecycle, pulls images, and interacts with the underlying OS primitives (namespaces, cgroups) through an OCI runtime like runc. In that direct sense, the runtime is what "runs workloads." It's important to distinguish responsibilities. The kubelet (A) is the node agent that orchestrates what should run on the node: it watches the API server for Pods assigned to the node and then asks the runtime to start/stop containers accordingly. Kubelet is essential for node management, but it does not itself execute containers; it delegates execution to the runtime via CRI. kube-proxy (B) handles Service traffic routing rules (or is replaced by other dataplanes) and does not run containers. kube-apiserver (C) is a control plane component that stores and serves cluster state; it is not a node workload runner.
So, in the execution chain: scheduler assigns Pod → kubelet sees Pod assigned → kubelet calls runtime via CRI → runtime launches containers. When troubleshooting "containers won't start," you often inspect kubelet logs and runtime logs because the runtime is the component that can fail image pulls, sandbox creation, or container start operations.
Therefore, the best answer to "which node component is responsible to run workloads" is the container runtime, option D.
質問 # 144
Which of the following would fall under the responsibilities of an SRE?
正解：D
解説：
Site Reliability Engineering (SRE) focuses on reliability, availability, performance, and operational excellence using engineering approaches. Among the options, creating a monitoring baseline for an application is a classic SRE responsibility, so B is correct. A monitoring baseline typically includes defining key service-level signals (latency, traffic, errors, saturation), establishing dashboards, setting sensible alert thresholds, and ensuring telemetry is complete enough to support incident response and capacity planning.
In Kubernetes environments, SRE work often involves ensuring that workloads expose health endpoints for probes, that resource requests/limits are set to allow stable scheduling and autoscaling, and that observability pipelines (metrics, logs, traces) are consistent. Building a monitoring baseline also ties into SLO/SLI practices: SREs define what "good" looks like, measure it continuously, and create alerts that notify teams when the system deviates from those expectations.
Option A is primarily an application developer task-SREs may contribute to reliability features, but core product feature development is usually owned by engineering teams. Option C is more aligned with finance, FinOps, or management responsibilities, though SRE data can inform costs. Option D is closer to governance, platform policy, or developer experience/process ownership; SREs might influence processes, but "policy on how to submit code change" is not the defining SRE duty compared to monitoring and reliability engineering.
Therefore, the best verified choice is B, because establishing monitoring baselines is central to operating reliable services on Kubernetes.
質問 # 145
Which Kubernetes-native deployment strategy supports zero-downtime updates of a workload?
正解：B
解説：
D (RollingUpdate) is correct. In Kubernetes, the Deployment resource's default update strategy is RollingUpdate, which replaces Pods gradually rather than all at once. This supports zero-downtime updates when the workload is properly configured (sufficient replicas, correct readiness probes, and appropriate maxUnavailable / maxSurge settings). As new Pods come up and become Ready, old Pods are terminated in a controlled way, keeping the service available throughout the rollout.
RollingUpdate's "zero downtime" is achieved by maintaining capacity while transitioning between versions. For example, with multiple replicas, Kubernetes can create new Pods, wait for readiness, then scale down old Pods, ensuring traffic continues to flow to healthy instances. Readiness probes are critical: they prevent traffic from being routed to a Pod until it's actually ready to serve.
Why other options are not the Kubernetes-native "strategy" answer here:
Recreate (B) explicitly stops old Pods before starting new ones, causing downtime for most services.
Canary (A) and BlueGreen (C) are real deployment patterns, but in "Kubernetes-native deployment strategy" terms, the built-in Deployment strategies are RollingUpdate and Recreate. Canary/BlueGreen typically require additional tooling/controllers (service mesh, ingress controller features, or progressive delivery operators) to manage traffic shifting between versions.
So, for a Kubernetes-native strategy that supports zero-downtime updates, the correct and verified choice is RollingUpdate (D).
質問 # 146
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私たちに知られているように、当社は、すべての受験者向けのKCNA試験資料を編集するために設立された専門ブランドです。当社のKCNAガイドファイルは、この分野の当社の多くの専門家や教授によって設計されています。当社のKCNA認定準備資料は、教材資料市場で絶対的な権限を持っていると約束できます。弊社が設計した教材はあなたに最適な選択になると信じています。試験の準備をするときは、当社のKCNAガイドファイルに完全に依存できます。
KCNA日本語学習内容: https://www.jpexam.com/KCNA_exam.html
さらに、Jpexam KCNAダンプの一部が現在無料で提供されています：https://drive.google.com/open?id=1NgNKeO0X63Zh2LX_1Qe1CcacVScZaWta