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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Native Application Delivery | 8% | - Deployment Strategies
|
| Topic 2: Cloud Native Architecture | 16% | - Cloud Native Principles
|
| Topic 3: Kubernetes Fundamentals | 46% | - Scheduling and Administration
|
| Topic 4: Cloud Native Observability | 8% | - Logging & Tracing
|
| Topic 5: Container Orchestration | 22% | - Security & Troubleshooting
|
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NEW QUESTION # 313
What Linux namespace is shared by default by containers running within a Kubernetes Pod?
Answer: C
Explanation:
By default, containers in the same Kubernetes Pod share the network namespace, which means they share the same IP address and port space. Therefore, the correct answer is B (Network).
This shared network namespace is a key part of the Pod abstraction. Because all containers in a Pod share networking, they can communicate with each other over localhost and coordinate tightly, which is the basis for patterns like sidecars (service mesh proxies, log shippers, config reloaders). It also means containers must coordinate port usage: if two containers try to bind the same port on 0.0.0.0, they'll conflict because they share the same port namespace.
Option A ("Host Network") is different: hostNetwork: true is an optional Pod setting that puts the Pod into the node's network namespace, not the Pod's shared namespace. It is not the default and is generally used sparingly due to security and port-collision risks. Option C ("Process ID") is not shared by default in Kubernetes; PID namespace sharing requires explicitly enabling process namespace sharing (e.g., shareProcessNamespace: true). Option D ("Process Name") is not a Linux namespace concept.
The Pod model also commonly implies shared storage volumes (if defined) and shared IPC namespace in some configurations, but the universally shared-by-default namespace across containers in the same Pod is the network namespace. This default behavior is why Kubernetes documentation explains a Pod as a "logical host" for one or more containers: the containers are co-located and share certain namespaces as if they ran on the same host.
So, the correct, verified answer is B: containers in the same Pod share the Network namespace by default.
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NEW QUESTION # 314
What is a probe within Kubernetes?
Answer: B
Explanation:
In Kubernetes, a probe is a health check mechanism that the kubelet executes against containers, so C is correct. Probes are part of how Kubernetes implements self-healing and safe traffic management. The kubelet runs probes periodically according to the configuration in the Pod spec and uses the results to decide whether a container is healthy, ready to receive traffic, or still starting up.
Kubernetes supports three primary probe types:
Liveness probe: determines whether the container should be restarted. If liveness fails repeatedly, kubelet restarts the container (subject to restartPolicy).
Readiness probe: determines whether the Pod should receive traffic via Services. If readiness fails, the Pod is removed from Service endpoints, preventing traffic from being routed to it until it becomes ready again.
Startup probe: used for slow-starting containers. It disables liveness/readiness failures until startup succeeds, preventing premature restarts during initialization.
Probe mechanisms can be HTTP GET, TCP socket checks, or exec commands run inside the container. These checks are performed by kubelet on the node where the Pod is running, not by the API server.
Options A and D incorrectly attribute probes to the Kubernetes API. While probe configuration is stored in the API as part of Pod specs, execution is node-local. Option B is not a Kubernetes concept.
So the correct definition is: a probe is a periodic diagnostic run by kubelet to assess container health/readiness, enabling reliable rollouts, traffic gating, and automatic recovery.
NEW QUESTION # 315
What is a key feature of a container network?
Answer: D
Explanation:
A defining requirement of container networking in orchestrated environments is enabling workloads to communicate across hosts, not just within a single machine. That's why B is correct: a key feature of a container network is allowing containers (Pods) running on separate hosts to communicate.
In Kubernetes, this idea becomes the Kubernetes network model: every Pod gets an IP address, and Pods should be able to communicate with other Pods across nodes without needing NAT (depending on implementation details). Achieving that across a cluster requires a networking layer (typically implemented by a CNI plugin) that can route traffic between nodes so that Pod-to-Pod communication works regardless of placement. This is crucial because schedulers dynamically place Pods; you cannot assume two communicating components will land on the same node.
Option C is true in a trivial sense-containers on the same host can communicate-but that capability alone is not the key feature that makes orchestration viable at scale. Cross-host connectivity is the harder and more essential property. Option A describes application-layer behavior (like API gateways or reverse proxies) rather than the foundational networking capability. Option D describes storage optimization, unrelated to container networking.
From a cloud native architecture perspective, reliable cross-host networking enables microservices patterns, service discovery, and distributed systems behavior. Kubernetes Services, DNS, and NetworkPolicies all depend on the underlying ability for Pods across the cluster to send traffic to each other. If your container network cannot provide cross-node routing and reachability, the cluster behaves like isolated islands and breaks the fundamental promise of orchestration: "schedule anywhere, communicate consistently."
NEW QUESTION # 316
Which command lists the running containers in the current Kubernetes namespace?
Answer: C
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.
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NEW QUESTION # 317
What is the primary interface for Kubernetes cluster?
Answer: E
Explanation:
https://kubernetes.io/docs/concepts/overview/components/#kube-apiserver
NEW QUESTION # 318
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