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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Kubernetes Fundamentals | 46% | - Kubernetes API
|
| Topic 2: Cloud Native Architecture | 16% | - Infrastructure and Practices
|
| Topic 3: Container Orchestration | 22% | - Security
|
| Topic 4: Cloud Native Observability | 8% | - Tracing
|
| Topic 5: Cloud Native Application Delivery | 8% | - GitOps
|
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NEW QUESTION # 298
When a Kubernetes Secret is created, how is the data stored by default in etcd?
Answer: D
Explanation:
By default, Kubernetes Secrets are stored in etcd as Base64-encoded values, which makes option A the correct answer. This is a common point of confusion because Base64 encoding is often mistaken for encryption, but in reality, it provides no security-only a reversible text encoding.
When a Secret is defined in a Kubernetes manifest or created via kubectl, its data fields are Base64-encoded before being persisted in etcd. This encoding ensures that binary data (such as certificates or keys) can be safely represented in JSON and YAML formats, which require text-based values. However, anyone with access to etcd or the Secret object via the Kubernetes API can easily decode these values.
Option B is incorrect because Secrets are not stored as raw plaintext; they are encoded using Base64 before storage. Option C is incorrect because Kubernetes does not compress Secret data by default. Option D is incorrect because Secrets are not encrypted at rest by default. Encryption at rest must be explicitly configured using an encryption provider configuration in the Kubernetes API server.
Because of this default behavior, Kubernetes strongly recommends additional security measures when handling Secrets. These include enabling encryption at rest for etcd, restricting access to Secrets using RBAC, using short-lived ServiceAccount tokens, and integrating with external secret management systems such as HashiCorp Vault or cloud provider key management services.
Understanding how Secrets are stored is critical for designing secure Kubernetes clusters. While Secrets provide a convenient abstraction for handling sensitive data, they rely on cluster-level security controls to ensure confidentiality. Without encryption at rest and proper access restrictions, Secret data remains vulnerable to unauthorized access.
Therefore, the correct and verified answer is Option A: Kubernetes stores Secrets as Base64-encoded strings in etcd by default, which offers encoding but not encryption.
NEW QUESTION # 299
How does Kubernetes ensure the high availability of a Deployment when running in a multi-node cluster?
Answer: B
Explanation:
Kubernetes achieves high availability for Deployments through a combination of techniques: Replicas: The 'replicas' field ensures that multiple instances of the application are running on different nodes. If one node fails, the Pods running on that node are automatically restarted on other healthy nodes. etcd: The distributed database etcd stores the state of the cluster. This means that even if one node fails, the other nodes have access to the latest state information and can continue to operate. Self-healing: Kubernetes constantly monitors the health of Pods and restarts failed Pods o healthy nodes. This ensures that the desired number of replicas is always maintained, even if some Pods experiencefailures. These elements work together to ensure that applications remain available even in the face of node failures.
NEW QUESTION # 300
Which of these is a valid container restart policy?
Answer: A
Explanation:
The correct answer is D: On failure. In Kubernetes, restart behavior is controlled by the Pod-level field spec.restartPolicy, with valid values Always, OnFailure, and Never. The option presented here ("On failure") maps to Kubernetes' OnFailure policy. This setting determines what the kubelet should do when containers exit:
Always: restart containers whenever they exit (typical for long-running services) OnFailure: restart containers only if they exit with a non-zero status (common for batch workloads) Never: do not restart containers (fail and leave it terminated) So "On failure" is a valid restart policy concept and the only one in the list that matches Kubernetes semantics.
The other options are not Kubernetes restart policies. "On login," "On update," and "On start" are not recognized values and don't align with how Kubernetes models container lifecycle. Kubernetes is declarative and event-driven: it reacts to container exit codes and controller intent, not user "logins." Operationally, choosing the right restart policy is important. For example, Jobs typically use restartPolicy: OnFailure or Never because the goal is completion, not continuous uptime. Deployments usually imply "Always" because the workload should keep serving traffic, and a crashed container should be restarted. Also note that controllers interact with restarts: a Deployment may recreate Pods if they fail readiness, while a Job counts completions and failures based on Pod termination behavior.
Therefore, among the options, the only valid (Kubernetes-aligned) restart policy is D.
NEW QUESTION # 301
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: B,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 # 302
What are the initial namespaces that Kubernetes starts with?
Answer: B
Explanation:
Kubernetes creates a set of namespaces by default when a cluster is initialized. The standard initial namespaces are default, kube-system, kube-public, and kube-node-lease, making A correct.
default is the namespace where resources are created if you don't specify another namespace. Many quick-start examples deploy here, though production environments typically use dedicated namespaces per app/team.
kube-system contains objects created and managed by Kubernetes system components (control plane add-ons, system Pods, controllers, DNS components, etc.). It's a critical namespace, and access is typically restricted.
kube-public is readable by all users (including unauthenticated users in some configurations) and is intended for public cluster information, though it's used sparingly in many environments.
kube-node-lease holds Lease objects used for node heartbeats. This improves scalability by reducing load on etcd compared to older heartbeat mechanisms and helps the control plane track node liveness efficiently.
The incorrect options contain non-standard namespace names like "system," "kube-main," or "kube-primary," and "kube-default" is not a real default namespace. Kubernetes' built-in namespace set is well-documented and consistent with typical cluster bootstraps.
Understanding these namespaces matters operationally: system workloads and controllers often live in kube-system, and many troubleshooting steps involve inspecting Pods and events there. Meanwhile, kube-node-lease is key to node health tracking, and default is the catch-all if you forget to specify -n.
So, the verified answer is A: default, kube-system, kube-public, kube-node-lease.
NEW QUESTION # 303
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