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| Section | Weight | Objectives |
|---|---|---|
| Container Orchestration | 22% | - Networking
|
| Kubernetes Fundamentals | 46% | - Kubernetes Resources
|
| Cloud Native Application Delivery | 8% | - GitOps
|
| Cloud Native Observability | 8% | - Monitoring and Metrics
|
| Cloud Native Architecture | 16% | - Infrastructure and Practices
|
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NEW QUESTION # 29
Which of the following is a correct definition of a Helm chart?
Answer: B
Explanation:
A Helm chart is best described as a package for Kubernetes applications, containing the resource definitions (as templates) and metadata needed to install and manage an application-so D is correct. Helm is a package manager for Kubernetes; the chart is the packaging format. Charts include a Chart.yaml (metadata), a values.
yaml (default configuration values), and a templates/ directory containing Kubernetes manifests written as templates. When you install a chart, Helm renders those templates into concrete Kubernetes YAML manifests by substituting values, then applies them to the cluster.
Option A is misleading/incomplete. While charts are often distributed as a compressed tarball (.tgz), the defining feature is not "YAML bundled in tar.gz" but the packaging and templating model that supports install
/upgrade/rollback. Option B is incorrect because Helm charts are not "collections of JSON files" by definition; Kubernetes resources can be expressed as YAML or JSON, but Helm charts overwhelmingly use templated YAML. Option C is incorrect because charts are not simply YAML applied by kubectl; Helm manages releases, tracks installed resources, and supports upgrades and rollbacks. Helm uses Kubernetes APIs under the hood, but the value of Helm is the lifecycle and packaging system, not "kubectl apply." In cloud-native application delivery, Helm helps standardize deployments across environments (dev/stage
/prod) by externalizing configuration through values. It reduces copy/paste and supports reuse via dependencies and subcharts. Helm also supports versioning of application packages, allowing teams to upgrade predictably and roll back if needed-critical for production change management.
So, the correct and verified definition is D: a Helm chart is like a package containing the resource definitions needed to run an application on Kubernetes.
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NEW QUESTION # 30
What native runtime is Open Container Initiative (OCI) compliant?
Answer: D
Explanation:
The Open Container Initiative (OCI) publishes open specifications for container images and container runtimes so that tools across the ecosystem remain interoperable. When a runtime is "OCI-compliant," it means it implements the OCI Runtime Specification (how to run a container from a filesystem bundle and configuration) and/or works cleanly with OCI image formats through the usual layers (image # unpack # runtime). runC is the best-known, widely used reference implementation of the OCI runtime specification and is the low-level runtime underneath many higher-level systems. In Kubernetes, you typically interact with a higher-level container runtime (such as containerd or CRI-O) through the Container Runtime Interface (CRI). That higher-level runtime then uses a low-level OCI runtime to actually create Linux namespaces
/cgroups, set up the container process, and start it. In many default installations, containerd delegates to runC for this low-level "create/start" work.
The other options are related but differ in what they are: Kata Containers uses lightweight VMs to provide stronger isolation while still presenting a container-like workflow; gVisor provides a user-space kernel for sandboxing containers; these can be used with Kubernetes via compatible integrations, but the canonical
"native OCI runtime" answer in most curricula is runC. Finally, "runV" is not a common modern Kubernetes runtime choice in typical OCI discussions. So the most correct, standards-based answer here is A (runC) because it directly implements the OCI runtime spec and is commonly used as the default low-level runtime behind CRI implementations.
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NEW QUESTION # 31
What is the purpose of the 'kube-proxy' component in Kubernetes and how does it contribute to the networking model?
Answer: A
Explanation:
kube-proxy is a critical component in Kubernetes' networking model. Its primary role is to act as a network load balancer for Kubernetes services. It listens on the node's IP address and forwards traffic to the corresponding pods based on service rules. This allows for load balancing, service discovery and efficient communication between pods and external clients. Options A, C, D, and E are incorrect. While kube-proxy contributes to external connectivity its core responsibility is internal load balancing. Communication within a namespace relies on the pod network, not kube-proxy. DNS resolution is handled by CoreDNS in Kubernetes, not kube-proxy. Security features like NetworkPolicies are implemented separately.
NEW QUESTION # 32
What fields must exist in any Kubernetes object (e.g. YAML) file?
Answer: C
Explanation:
Any Kubernetes object manifest must include apiVersion, kind, and metadata, which makes A correct. This comes directly from how Kubernetes resources are represented and processed by the API server.
* apiVersion tells Kubernetes which API group and version should be used to interpret the object (for example v1, apps/v1, batch/v1). This matters because schemas and available fields can change between versions.
* kind specifies the type of object you are creating (for example Pod, Service, Deployment, ConfigMap).
Kubernetes uses this to route the request to the correct API endpoint and schema.
* metadata contains identifying and organizational information such as name, namespace (when namespaced), labels, and annotations. At minimum, most objects require a name; labels and annotations are optional but extremely common for selection and tooling.
A common point of confusion is spec. Many Kubernetes objects include spec because they define desired state (like a Deployment's replica count, Pod template, update strategy). However, the question asks what fields must exist in any Kubernetes object file. Not all objects require a spec in the same way (and some objects include other top-level sections like data for ConfigMaps/Secrets or rules for RBAC objects). The truly universal top-level requirements are the trio in option A.
Options B, C, and D include fields that are not universally required (namespace is not required for cluster- scoped objects, and data only applies to certain kinds like ConfigMaps/Secrets). Therefore, apiVersion + kind + metadata is the correct, general rule and matches Kubernetes object structure.
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NEW QUESTION # 33
Services and Pods in Kubernetes are ______ objects.
Answer: D
Explanation:
In Kubernetes, resources like Pods and Services are represented as API objects that you create, read, update, delete, and watch via the Kubernetes RESTful API. That makes D (REST) the correct answer.
Kubernetes is fundamentally API-driven: the API server exposes endpoints for each resource type (for example, /api/v1/namespaces/{ns}/pods and /api/v1/namespaces/{ns}/services). Clients such as kubectl, controllers, operators, and external systems interact with these resources by making REST-style calls using HTTP verbs (GET, POST, PUT/PATCH, DELETE) and using watch streams for event-driven updates. This API-first design is what enables Kubernetes' declarative model-users submit desired state to the API server, and controllers reconcile the cluster to that desired state.
Options A and B (JSON and YAML) are common serialization formats used to represent Kubernetes objects, but they are not what the objects "are." Kubernetes objects are logical API resources; they can be encoded as JSON (what the API uses) and often authored as YAML for human convenience. YAML is effectively a superset-friendly format that can be converted to JSON. The underlying API object model remains the same regardless of whether you wrote YAML or JSON. Option C (Java) is unrelated; Java is a programming language that can interact with Kubernetes via client libraries, but Kubernetes objects are not
"Java objects" in the platform's definition.
So the accurate statement is: Pods and Services are Kubernetes REST API objects (resources) exposed and managed through the Kubernetes API server, which is why REST is the correct fill-in.
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NEW QUESTION # 34
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