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| Section | Weight | Objectives |
|---|---|---|
| Cloud Native Architecture | 16% | - Ecosystem & Landscape
|
| Cloud Native Application Delivery | 8% | - Deployment Strategies
|
| Kubernetes Fundamentals | 46% | - Kubernetes Core Concepts
|
| Cloud Native Observability | 8% | - Monitoring & Metrics
|
| Container Orchestration | 22% | - Orchestration Principles
|
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NEW QUESTION # 284
You are migrating a monolithic application to a microservices architecture on Kubernetes. You choose to use Istio to manage the communication between these new services. Which of the following is NOT a benefit of adopting Istio in this scenario?
Answer: B
Explanation:
While Istio provides benefits like centralized traffic management, security, and observability for microservices, it doesn't automatically simplify the process of migrating existing monolithic code. The migration itself requires careful refactoring and architectural changes, which Istio complements but doesn't replace. Options B, C, D, and E are all valid benefits of using Istio for microservices.
NEW QUESTION # 285
At which layer would distributed tracing be implemented in a cloud native deployment?
Answer: D
NEW QUESTION # 286
What helps an organization to deliver software more securely at a higher velocity?
Answer: C
Explanation:
A CI/CD pipeline is a core practice/tooling approach that enables organizations to deliver software faster and more securely, so D is correct. CI (Continuous Integration) automates building and testing code changes frequently, reducing integration risk and catching defects early. CD (Continuous Delivery/Deployment) automates releasing validated builds into environments using consistent, repeatable steps-reducing manual errors and enabling rapid iteration.
Security improves because automation enables standardized checks on every change: static analysis, dependency scanning, container image scanning, policy validation, and signing/verification steps can be integrated into the pipeline. Instead of relying on ad-hoc human processes, security controls become repeatable gates. In Kubernetes environments, pipelines commonly build container images, run tests, publish artifacts to registries, and then deploy via manifests, Helm, or GitOps controllers-keeping deployments consistent and auditable.
Option A (Kubernetes) is a platform that helps run and manage workloads, but by itself it doesn't guarantee secure high-velocity delivery. It provides primitives (rollouts, declarative config, RBAC), yet the delivery workflow still needs automation. Option B (apt-get) is a package manager for Debian-based systems and is not a delivery pipeline. Option C (Docker Images) are artifacts; they improve portability and repeatability, but they don't provide the end-to-end automation of building, testing, promoting, and deploying across environments.
In cloud-native application delivery, the pipeline is the "engine" that turns code changes into safe production releases. Combined with Kubernetes' declarative deployment model (Deployments, rolling updates, health probes), a CI/CD pipeline supports frequent releases with controlled rollouts, fast rollback, and strong auditability. That is exactly what the question is targeting. Therefore, the verified answer is D.
NEW QUESTION # 287
If a Pod was waiting for container images to download on the scheduled node, what state would it be in?
Answer: B
Explanation:
If a Pod is waiting for its container images to be pulled to the node, it remains in the Pending phase, so D is correct. Kubernetes Pod "phase" is a high-level summary of where the Pod is in its lifecycle. Pending means the Pod has been accepted by the cluster but one or more of its containers has not started yet. That can occur because the Pod is waiting to be scheduled, waiting on volume attachment/mount, or-very commonly-waiting for the container runtime to pull the image.
When image pulling is the blocker, kubectl describe pod <name> usually shows events like "Pulling image ..." and "Successfully pulled image ..." or failures like ImagePullBackOff/ErrImagePull. Even if the node has been assigned (scheduler has set spec.nodeName), the Pod can still be Pending while kubelet and the runtime perform preparation steps.
Why the other phases don't apply:
Succeeded is for run-to-completion Pods that have finished successfully (typical for Jobs).
Failed means the Pod terminated and at least one container terminated in failure (and won't be restarted, depending on restartPolicy).
Unknown is used when the node can't be contacted and the Pod's state can't be reliably determined (rare in healthy clusters).
A subtle but important Kubernetes detail: status "Waiting" reasons like ImagePullBackOff are container states inside .status.containerStatuses, while the Pod phase can still be Pending. So, "waiting for images to download" maps to Pod Pending, with container waiting reasons providing the deeper diagnosis.
Therefore, the verified correct answer is D: Pending.
NEW QUESTION # 288
A Kubernetes node is on hardware that is scheduled for maintenance. How can the Pods scheduled on that node be identified so workloads can be redirected before the node is taken out of service?
Answer: D
Explanation:
The kubectl get pods -o wide --all-namespaces command displays all Pods along with the nodes they are running on, allowing identification of Pods scheduled on the specific node before maintenance.
NEW QUESTION # 289
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