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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Native Architecture | 16% | - Ecosystem & Landscape
|
| Topic 2: Cloud Native Application Delivery | 8% | - Delivery Models
|
| Topic 3: Cloud Native Observability | 8% | - Logging & Tracing
|
| Topic 4: Kubernetes Fundamentals | 46% | - Containerization Basics
|
| Topic 5: Container Orchestration | 22% | - Security & Troubleshooting
|
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NEW QUESTION # 49
A platform engineer wants to ensure that a new microservice is automatically deployed to every cluster registered in Argo CD. Which configuration best achieves this goal?
Answer: C
Explanation:
Argo CD is a declarative GitOps continuous delivery tool designed to manage Kubernetes applications across one or many clusters. When the requirement is to automatically deploy a microservice to every cluster registered in Argo CD, the most appropriate and scalable solution is to use an ApplicationSet.
The ApplicationSet controller extends Argo CD by enabling the dynamic generation of multiple Argo CD Applications from a single template. One of its most powerful features is the cluster generator, which automatically discovers all clusters registered with Argo CD and creates an Application for each of them. By combining this generator with a Git repository containing the microservice manifests, the platform engineer ensures that the microservice is consistently deployed to all existing clusters-and any new clusters added in the future-without manual intervention.
This approach aligns perfectly with GitOps principles. The desired state of the microservice is defined once in Git, and Argo CD continuously reconciles that state across all target clusters. Any updates to the microservice manifests are automatically rolled out everywhere in a controlled and auditable manner. This provides strong guarantees around consistency, scalability, and operational simplicity.
Option A is incorrect because a CronJob introduces imperative redeployment logic and does not integrate with Argo CD's reconciliation model. Option B is not scalable or maintainable, as it requires manual configuration for each cluster and increases the risk of configuration drift. Option D, while useful for packaging applications, still results in a single Application object and does not natively handle multi-cluster fan-out by itself.
Therefore, the correct and verified answer is Option C: creating an Argo CD ApplicationSet backed by a Git repository, which is the recommended and documented solution for multi-cluster application delivery in Argo CD.
NEW QUESTION # 50
Kubernetes ___ protect you against voluntary interruptions (such as deleting Pods, draining nodes) to run applications in a highly available manner.
Answer: D
Explanation:
The correct answer is B: Pod Disruption Budgets (PDBs). A PDB is a policy object that limits how many Pods of an application can be voluntarily disrupted at the same time. "Voluntary disruptions" include actions such as draining a node for maintenance (kubectl drain), cluster upgrades, or an administrator deleting Pods. The core purpose is to preserve availability by ensuring that a minimum number (or percentage) of replicas remain running and ready while those planned disruptions occur.
A PDB is typically defined with either minAvailable (e.g., "at least 3 Pods must remain available") or maxUnavailable (e.g., "no more than 1 Pod can be unavailable"). Kubernetes uses this budget when performing eviction operations. If evicting a Pod would violate the PDB, the eviction is blocked (or delayed), which forces maintenance workflows to proceed more safely-either by draining more slowly, scaling up first, or scheduling maintenance in stages.
Why the other options are not correct: topology spread constraints (A) influence scheduling distribution across failure domains but don't directly protect against voluntary disruptions. Taints and tolerations (C) control where Pods can schedule, not how many can be disrupted. Resource requests/limits (D) control CPU/memory allocation and do not guard availability during drains or deletions.
PDBs also work best when paired with Deployments/StatefulSets that maintain replicas and with readiness probes that accurately represent whether a Pod can serve traffic. PDBs do not prevent involuntary disruptions (node crashes), but they materially reduce risk during planned operations-exactly what the question is targeting.
NEW QUESTION # 51
In Kubernetes, what is the primary responsibility of the kubelet running on each worker node?
Answer: B
Explanation:
The kubelet is a critical Kubernetes component that runs on every worker node and acts as the primary execution agent for Pods. Its core responsibility is to ensure that the containers defined in Pod specifications are running and remain healthy on the node, making option C the correct answer.
Once the Kubernetes scheduler assigns a Pod to a specific node, the kubelet on that node becomes responsible for carrying out the desired state described in the Pod specification. It continuously watches the API server for Pods assigned to its node and communicates with the container runtime (such as containerd or CRI-O) to start, stop, and restart containers as needed. The kubelet does not make scheduling decisions; it simply executes them.
Health management is another key responsibility of the kubelet. It runs liveness, readiness, and startup probes as defined in the Pod specification. If a container fails a liveness probe, the kubelet restarts it. If a readiness probe fails, the kubelet marks the Pod as not ready, preventing traffic from being routed to it. The kubelet also reports detailed Pod and node status information back to the API server, enabling controllers to take corrective actions when necessary.
Option A is incorrect because persistent volume provisioning and data replication are handled by storage systems, CSI drivers, and controllers-not by the kubelet. Option B is incorrect because cluster state management and scheduling are responsibilities of control plane components such as the API server, controller manager, and kube-scheduler. Option D is incorrect because DNS resolution and service traffic routing are handled by components like CoreDNS and kube-proxy.
In summary, the kubelet serves as the node-level guardian of Kubernetes workloads. By ensuring containers are running exactly as specified and continuously reporting their health and status, the kubelet forms the essential bridge between Kubernetes' declarative control plane and the actual execution of applications on worker nodes.
NEW QUESTION # 52
What is the primary interface for Kubernetes cluster?
Answer: A
Explanation:
https://kubernetes.io/docs/concepts/overview/components/#kube-apiserver
NEW QUESTION # 53
What component enables end users, different parts of the Kubernetes cluster, and external components to communicate with one another?
Answer: D
Explanation:
The Kubernetes API is the central interface that enables communication between users, controllers, nodes, and external integrations, so C is correct. Kubernetes is fundamentally an API-driven system: all cluster state is represented as API objects, and all operations-create, update, delete, watch-flow through the API server.
End users typically interact with the Kubernetes API using tools like kubectl, client libraries, or dashboards.
But those tools are clients; the shared communication "hub" is the API itself. Inside the cluster, core control plane components (controllers, scheduler) continuously watch the API for desired state and write status updates back. Worker nodes (via kubelet) also communicate with the API server to receive Pod specs, report node health, and update Pod statuses. External systems-cloud provider integrations, CI/CD pipelines, GitOps controllers, monitoring and policy engines-also integrate primarily through the Kubernetes API.
Option A (kubectl) is a CLI that talks to the Kubernetes API; it is not the underlying component that all parts use to communicate. Options B and D are cloud-provider tools and are not universal to Kubernetes clusters.
Kubernetes runs across many environments, and the consistent interoperability layer is the Kubernetes API.
This API-centric architecture is what enables Kubernetes' declarative model: you submit desired state to the API, and controllers reconcile actual state to match. It also enables extensibility: CRDs and admission webhooks expand what the API can represent and enforce. Therefore, the correct answer is C: Kubernetes API.
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NEW QUESTION # 54
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