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| Section | Weight | Objectives |
|---|---|---|
| Container Orchestration | 22% | - Networking & Storage
|
| Cloud Native Application Delivery | 8% | - Deployment Strategies
|
| Cloud Native Observability | 8% | - Monitoring & Metrics
|
| Cloud Native Architecture | 16% | - Ecosystem & Landscape
|
| Kubernetes Fundamentals | 46% | - Scheduling and Administration
|
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NEW QUESTION # 183
A ________ is an application running on kubernetes.
Answer: D
Explanation:
https://kubernetes.io/docs/concepts/workloads/
NEW QUESTION # 184
Which statement is true about the role of etcd in a Kubernetes cluster?
Answer: C
Explanation:
etcd is the distributed key-value store used by Kubernetes to persist cluster configuration, resource definitions, metadata, and the current state of the cluster.
NEW QUESTION # 185
What is the API that exposes resource metrics from the metrics-server?
Answer: D
Explanation:
The correct answer is C: metrics.k8s.io. Kubernetes' metrics-server is the standard component that provides resource metrics (primarily CPU and memory) for nodes and pods. It aggregates this information (sourced from kubelet/cAdvisor) and serves it through the Kubernetes aggregated API under the group metrics.k8s.io.
This is what enables commands like kubectl top nodes and kubectl top pods, and it is also a key data source for autoscaling with the Horizontal Pod Autoscaler (HPA) when scaling on CPU/memory utilization.
Why the other options are wrong:
* custom.k8s.io is not the standard API group for metrics-server resource metrics. Custom metrics are typically served through the custom metrics API (commonly custom.metrics.k8s.io) via adapters (e.g., Prometheus Adapter), not metrics-server.
* resources.k8s.io is not the metrics-server API group.
* cadvisor.k8s.io is not exposed as a Kubernetes aggregated metrics API. cAdvisor is a component integrated into kubelet that provides container stats, but metrics-server is the thing that exposes the aggregated Kubernetes metrics API, and the canonical group is metrics.k8s.io.
Operationally, it's important to understand the boundary: metrics-server provides basic resource metrics suitable for core autoscaling and "top" views, but it is not a full observability system (it does not store long- term metrics history like Prometheus). For richer metrics (SLOs, application metrics, long-term trending), teams typically deploy Prometheus or a managed monitoring backend. Still, when the question asks specifically which API exposes metrics-server data, the answer is definitively metrics.k8s.io.
=========
NEW QUESTION # 186
Which part of a Kubernetes cluster is responsible for running container workloads?
Answer: A
Explanation:
Worker Nodes are responsible for executing containerized workloads.
NEW QUESTION # 187
Which of the following will view the snapshot of previously terminated ruby container logs from Pod web-1?
Answer: B
Explanation:
To view logs from the previously terminated instance of a container, you use kubectl logs -p. To select a specific container in a multi-container Pod, you use -c <containerName>. Combining both gives the correct command for "previous logs from the ruby container in Pod web-1," which is option A: kubectl logs -p -c ruby web-1.
The -p (or --previous) flag instructs kubectl to fetch logs for the prior container instance. This is most useful when the container has restarted due to a crash (CrashLoopBackOff) or was terminated and restarted. Without -p, kubectl logs shows logs for the currently running container instance (or the most recent if it's completed, depending on state).
Option B is close but wrong for the question: it selects
the ruby container (-c ruby) but does not request the previous instance snapshot, so it returns current logs, not the prior-terminated logs. Option C is missing the -c container selector and is also malformed: kubectl logs -p expects the Pod name (and optionally container); ruby is not a flag positionally correct here. Option D has argument order incorrect and mixes Pod and container names in the wrong places.
Operationally, this is a common Kubernetes troubleshooting workflow: if a container restarts quickly, current logs may be short or empty, and the actionable crash output is in the previous instance logs. Using kubectl logs -p often reveals stack traces, fatal errors, or misconfiguration messages. In multi-container Pods, always pair -p with -c to ensure you're looking at the right container.
Therefore, the verified correct answer is A.
NEW QUESTION # 188
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