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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q151-Q156):

NEW QUESTION # 151
What element allows Kubernetes to run Pods across the fleet of nodes?

Answer: C

Explanation:
The correct answer is D (the kubelet) because the kubelet is the node agent responsible for actually running Pods on each node. Kubernetes can orchestrate workloads across many nodes because every worker node (and control-plane node that runs workloads) runs a kubelet that continuously watches the API server for PodSpecs assigned to that node and then ensures the containers described by those PodSpecs are started and kept running. In other words, the kube-scheduler decides where a Pod should run (sets spec.nodeName), but the kubelet is what makes the Pod run on that chosen node.
The kubelet integrates with the container runtime (via CRI) to pull images, create sandboxes, start containers, and manage their lifecycle. It also reports node and Pod status back to the control plane, executes liveness
/readiness/startup probes, mounts volumes, and performs local housekeeping that keeps the node aligned with the declared desired state. This node-level reconciliation loop is a key Kubernetes pattern: the control plane declares intent, and the kubelet enforces it on the node.
Option C (API server) is critical but does not run Pods; it is the control plane's front door for storing and serving cluster state. Option A ("node server") is not a Kubernetes component. Option B (etcd static pods) is a misunderstanding: etcd is the datastore for Kubernetes state and may run as static Pods in some installations, but it is not the mechanism that runs user workloads across nodes.
So, Kubernetes runs Pods "across the fleet" because each node has a kubelet that can realize scheduled PodSpecs locally and keep them healthy over time.
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NEW QUESTION # 152
How can you monitor the progress for an updated Deployment/DaemonSets/StatefulSets?

Answer: B

Explanation:
To monitor rollout progress for Kubernetes workload updates (most commonly Deployments, and also StatefulSets and DaemonSets where applicable), the standard kubectl command is kubectl rollout status, which makes D correct.
Kubernetes manages updates declaratively through controllers. For a Deployment, an update typically creates a new ReplicaSet and gradually shifts replicas from the old to the new according to the strategy (e.g., RollingUpdate with maxUnavailable and maxSurge). For StatefulSets, updates may be ordered and respect stable identities, and for DaemonSets, an update replaces node-level Pods according to update strategy. In all cases, you often want a single command that tells you whether the controller has completed the update and whether the new replicas are available. kubectl rollout status queries the resource status and prints a progress view until completion or timeout.
The other commands listed are not the canonical kubectl subcommands. kubectl rollout watch, kubectl rollout progress, and kubectl rollout state are not standard rollout verbs in kubectl. The supported rollout verbs typically include status, history, undo, pause, and resume (depending on kubectl version and resource type).
Operationally, kubectl rollout status deployment/<name> is used during releases and troubleshooting to confirm that new Pods become ready, that old replicas scale down, and that the rollout does not stall due to readiness probe failures, insufficient resources, or policy constraints (e.g., PodDisruptionBudgets interacting with drains). It ties directly into Kubernetes' self-healing and declarative update model: you declare a new desired Pod template, and controllers reconcile toward it while rollout status reports that reconciliation's progress.


NEW QUESTION # 153
Which CNCF project is the dominant project with respect to container registries

Answer: C

Explanation:
https://goharbor.io/


NEW QUESTION # 154
What is a Dockerfile?

Answer: C

Explanation:
A Dockerfile is a text file that contains a sequence of instructions used to build a container image, so C is correct. These instructions include choosing a base image (FROM), copying files (COPY/ADD), installing dependencies (RUN), setting environment variables (ENV), defining working directories (WORKDIR), exposing ports (EXPOSE), and specifying the default startup command (CMD/ENTRYPOINT). When you run docker build (or compatible tools like BuildKit), the builder executes these instructions to produce an image composed of immutable layers.
In cloud-native application delivery, Dockerfiles (more generally, OCI image build definitions) are a key step in the supply chain. The resulting image artifact is what Kubernetes runs in Pods. Best practices include using minimal base images, pinning versions, avoiding embedding secrets, and using multi-stage builds to keep runtime images small. These practices improve security and performance, and make delivery pipelines more reliable.
Option A is incorrect because a Dockerfile is not a bash script, even though it can run shell commands through RUN. Option B is incorrect because registry destinations are handled by tooling and tagging/push commands (or CI pipeline configuration), not by the Dockerfile itself. Option D is incorrect because an image layer created by a running container is more closely related to container filesystem changes and commits; a Dockerfile is the build recipe, not a runtime-generated layer.
Although the question uses "Dockerfile," the concept maps well to OCI-based container image creation generally: you define a reproducible build recipe that produces an immutable image artifact. That artifact is then versioned, scanned, signed, stored in a registry, and deployed to Kubernetes through manifests/Helm/GitOps. Therefore, C is the correct and verified definition.


NEW QUESTION # 155
There are three Nodes in a cluster, and want to run exactly one replica of a Pod on each Node. Pre-fer to automatically create a replica on any new Nodes when they are added. Which Kubernetes re-source should you use?

Answer: A

Explanation:
https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/
A DaemonSet runs replicas on all (or just some) Nodes in the cluster.


NEW QUESTION # 156
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