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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Native Architecture | 16% | - Cloud Native Principles
|
| Topic 2: Container Orchestration | 22% | - Security & Troubleshooting
|
| Topic 3: Kubernetes Fundamentals | 46% | - Containerization Basics
|
| Topic 4: Cloud Native Application Delivery | 8% | - Deployment Strategies
|
| Topic 5: Cloud Native Observability | 8% | - Logging & Tracing
|
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NEW QUESTION # 141
What is Helm?
Answer: A
Explanation:
Helm is best described as a package manager for Kubernetes applications, making B correct. Helm packages Kubernetes resource manifests (Deployments, Services, ConfigMaps, Ingress, RBAC, etc.) into a unit called a chart. A chart includes templates and default values, allowing teams to parameterize deployments for different environments (dev/stage/prod) without rewriting YAML.
From an application delivery perspective, Helm solves common problems: repeatable installation, upgrade management, versioning, and sharing of standardized application definitions. Instead of copying and editing raw YAML, users install a chart and supply a values.yaml file (or CLI overrides) to configure image tags, replica counts, ingress hosts, resource requests, and other settings. Helm then renders templates into concrete Kubernetes manifests and applies them to the cluster.
Helm also manages releases: it tracks what has been installed and supports upgrades and rollbacks. This aligns with cloud native delivery practices where deployments are automated, reproducible, and auditable.
Helm is commonly integrated into CI/CD pipelines and GitOps workflows (sometimes with charts stored in Git or Helm repositories).
The other options are incorrect: a dashboard is a UI like Kubernetes Dashboard; a scheduler is kube-scheduler (or custom scheduler implementations, but Helm is not that); end-to-end testing projects exist in the ecosystem, but Helm's role is packaging and lifecycle management of Kubernetes app definitions.
So the verified, standard definition is: Helm = Kubernetes package manager.
NEW QUESTION # 142
What service account does a Pod use in a given namespace when the service account is not specified?
Answer: A
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 # 143
How are ReplicaSets and Deployments related?
Answer: D
NEW QUESTION # 144
Which of the following are tasks performed by a container orchestration tool?
Answer: D
Explanation:
A container orchestration tool (like Kubernetes) is responsible for scheduling, scaling, and health management of workloads, making A correct. Orchestration sits above individual containers and focuses on running applications reliably across a fleet of machines. Scheduling means deciding which node should run a workload based on resource requests, constraints, affinities, taints/tolerations, and current cluster state.
Scaling means changing the number of running instances (replicas) to meet demand (manually or automatically through autoscalers). Health management includes monitoring whether containers and Pods are alive and ready, replacing failed instances, and maintaining the declared desired state.
Options B and D include "create images" and "store images," which are not orchestration responsibilities.
Image creation is a CI/build responsibility (Docker/BuildKit/build systems), and image storage is a container registry responsibility (Harbor, ECR, GCR, Docker Hub, etc.). Kubernetes consumes images from registries but does not build or store them. Option C includes "debug applications," which is not a core orchestration function. While Kubernetes provides tools that help debugging (logs, exec, events), debugging is a human
/operator activity rather than the orchestrator's fundamental responsibility.
In Kubernetes specifically, these orchestration tasks are implemented through controllers and control loops:
Deployments/ReplicaSets manage replica counts and rollouts, kube-scheduler assigns Pods to nodes, kubelet ensures containers run, and probes plus controller logic replace unhealthy replicas. This is exactly what makes Kubernetes valuable at scale: instead of manually starting/stopping containers on individual hosts, you declare your intent and let the orchestration system continually reconcile reality to match. That combination- placement + elasticity + self-healing-is the core of container orchestration, matching option A precisely.
=========
NEW QUESTION # 145
Which is NOT a use case for the Kubernetes dashboard?
Answer: B
NEW QUESTION # 146
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