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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Container Orchestration | 22% | - Storage
|
| Topic 2: Cloud Native Observability | 8% | - Logging
|
| Topic 3: Kubernetes Fundamentals | 46% | - Containers
|
| Topic 4: Cloud Native Application Delivery | 8% | - CI/CD
|
| Topic 5: Cloud Native Architecture | 16% | - Cloud Native Landscape
|
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NEW QUESTION # 328
Which command lists the running containers in the current Kubernetes namespace?
Answer: B
Explanation:
The correct answer is A: kubectl get pods. Kubernetes does not manage "containers" as standalone top-level objects; the primary schedulable unit is the Pod, and containers run inside Pods. Therefore, the practical way to list what's running in a namespace is to list the Pods in that namespace. kubectl get pods shows Pods and their readiness, status, restarts, and age-giving you the canonical view of running workloads.
If you need the container-level details (images, container names), you typically use additional commands and output formatting:
kubectl describe pod <pod> to view container specs, images, states, and events kubectl get pods -o jsonpath=... or -o wide to surface more fields kubectl get pods -o=json to inspect .spec.containers and .status.containerStatuses But among the provided options, kubectl get pods is the only real kubectl command that lists the running workload objects in the current namespace.
The other options are not valid kubectl subcommands: kubectl ls, kubectl ps, and kubectl show pods are not standard Kubernetes CLI operations. Kubernetes intentionally centers around the API resource model, so listing resources uses kubectl get <resource>. This also aligns with Kubernetes' declarative nature: you observe and manage the state via API objects, not by directly enumerating OS-level processes.
So while the question says "running containers," the Kubernetes-correct interpretation is "containers in running Pods," and the appropriate listing command in the namespace is kubectl get pods, option A.
NEW QUESTION # 329
What factors influence the Kubernetes scheduler when it places Pods on nodes?
Answer: C
Explanation:
The Kubernetes scheduler chooses a node for a Pod by evaluating scheduling constraints and cluster state.
Key inputs include resource requests (CPU/memory), taints/tolerations, and affinity/anti-affinity rules.
Option A directly names three real, high-impact scheduling factors-Pod memory requests, node taints, and Pod affinity-so A is correct.
Resource requests are fundamental: the scheduler must ensure the target node has enough allocatable CPU
/memory to satisfy the Pod's requests. Requests (not limits) drive placement decisions. Taints on nodes repel Pods unless the Pod has a matching toleration, which is commonly used to reserve nodes for special workloads (GPU nodes, system nodes, restricted nodes) or to protect nodes under certain conditions. Affinity and anti-affinity allow expressing "place me near" or "place me away" rules-e.g., keep replicas spread across failure domains or co-locate components for latency.
Option B includes labels, which do matter, but "request labels" is not a standard scheduler concept; labels influence scheduling mainly through selectors and affinity, not as a direct category called "request labels." Option C mixes a real concept (taints, priority) with "node level," which isn't a standard scheduling factor term. Option D includes "container command," which does not influence scheduling; the scheduler does not care what command the container runs, only placement constraints and resources.
Under the hood, kube-scheduler uses a two-phase process (filtering then scoring) to select a node, but the inputs it filters/scores include exactly the kinds of constraints in A. Therefore, the verified best answer is A.
=========
NEW QUESTION # 330
CNCF supports and helps organize different Kubernetes related events: meetups, KubeCons, KubeDays, KCDs etc. What does KCD stand for?
Answer: C
Explanation:
Cloud Native Computing Foundation organizes community-driven events called Kubernetes Community Days (KCD), which are local, community-focused conferences for Kubernetes and cloud native enthusiasts.
NEW QUESTION # 331
Which two elements are shared between containers in the same pod?
Answer: C
Explanation:
Containers in the same pod share storage volumes and network resources such as the IP address and port space.
NEW QUESTION # 332
Imagine you have a Kubernetes cluster running a large number of applications. You want to streamline the configuration of these applications and manage their dependencies consistently. Which open standard would you use to address this?
Answer: D
Explanation:
Helm is a package manager for Kubernetes. It allows you to package your application's configuration, dependencies, and deployment logic into a Helm chart. This simplifies application deployment and management, making it easier to manage the configuration and dependencies of multiple applications consistently.
NEW QUESTION # 333
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