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| Section | Weight | Objectives |
|---|---|---|
| Cloud Native Observability | 8% | - Logging & Tracing
|
| Cloud Native Architecture | 16% | - Ecosystem & Landscape
|
| Kubernetes Fundamentals | 46% | - Scheduling and Administration
|
| Container Orchestration | 22% | - Networking & Storage
|
| Cloud Native Application Delivery | 8% | - Deployment Strategies
|
>> Linux Foundation KCNA Real Exam Questions <<
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NEW QUESTION # 91
What service account does a Pod use in a given namespace when the service account is not specified?
Answer: D
Explanation:
D (default) is correct. In Kubernetes, if you create a Pod (or a controller creates Pods) without specifying spec.serviceAccountName, Kubernetes assigns the Pod the default ServiceAccount in that namespace. The ServiceAccount determines what identity the Pod uses when accessing the Kubernetes API (for example, via the in-cluster token mounted into the Pod, when token automounting is enabled).
Every namespace typically has a default ServiceAccount created automatically. The permissions associated with that ServiceAccount are determined by RBAC bindings. In many clusters, the default ServiceAccount has minimal permissions (or none) as a security best practice, because leaving it overly privileged would allow any Pod to access sensitive cluster APIs.
Why the other options are wrong: Kubernetes does not automatically choose "admin," "sysadmin," or "root" service accounts. Those are not standard implicit identities, and automatically granting admin privileges would be insecure. Instead, Kubernetes follows a predictable, least-privilege-friendly default: use the namespace's default ServiceAccount unless you explicitly request a different one.
Operationally, this matters for security and troubleshooting. If an application in a Pod is failing with
"forbidden" errors when calling the API, it often means it's using the default ServiceAccount without the necessary RBAC permissions. The correct fix is usually to create a dedicated ServiceAccount and bind only the required roles, then set serviceAccountName in the Pod template. Conversely, if you're hardening a cluster, you often disable automounting of service account tokens for Pods that don't need API access.
Therefore, the verified correct answer is D: default.
=========
NEW QUESTION # 92
You are using Prometheus to monitor your Kubernetes cluster. You notice that several pods are
experiencing high memory usage. You want to investigate further to determine which containers within these pods are consuming the most memory. How can you effectively use Prometheus to identify these memory-intensive containers?
Answer: A,E
Explanation:
Both options B and D provide effective solutions for identifying memory-intensive containers. Option B allows you to directly analyze the 'kube_pod_container_status_memory_usage_bytes• metric, which provides the actual memory usage of each container within the pod. Option D suggests filtering Prometheus queries by container name and sorting by memory usage, enabling you to easily pinpoint containers with the highest memory consumption. While option A provides information about requested memory limits, it doesn't directly reflect the actual memory usage. Options C and E are not directly relevant to identifying memory-intensive containers.
NEW QUESTION # 93
You have a Kubernetes cluster with a deployment named 'my-app' that has a replica count of 3. You need to temporarily scale it down to 1 replica. Which command would you use?
Answer: B,E
Explanation:
Both 'kubectl scale deployments my-app -replicas=l' and 'kubectl set scale deployments my- app --replicas=1' are valid commands to scale down the deployment. Option 'C' also works but it is more verbose. Option 'B' would edit the deployment configuration, which is not the desired outcome in this case. Option 'E' would apply a new configuration, which is also not ideal.
NEW QUESTION # 94
The three typical opentelemetry data is?
Answer: C
Explanation:
https://opentelemetry.io/docs/concepts/data-sources/
NEW QUESTION # 95
Which field in a Pod or Deployment manifest ensures that Pods are scheduled only on nodes with specific labels?
Answer: A
Explanation:
The nodeSelector field restricts Pod scheduling to nodes that have matching labels, ensuring Pods are placed only on nodes that meet specific selection criteria such as hardware type or environment.
NEW QUESTION # 96
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