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| Section | Weight | Objectives |
|---|---|---|
| Container Orchestration | 22% | - Security & Troubleshooting
|
| Kubernetes Fundamentals | 46% | - Kubernetes Core Concepts
|
| Cloud Native Architecture | 16% | - Cloud Native Principles
|
| Cloud Native Application Delivery | 8% | - Deployment Strategies
|
| Cloud Native Observability | 8% | - Monitoring & Metrics
|
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NEW QUESTION # 327
In a cloud native world, what does the IaC abbreviation stand for?
Answer: B
Explanation:
IaC stands for Infrastructure as Code, which is option B. In cloud native environments, IaC is a core operational practice: infrastructure (networks, clusters, load balancers, IAM roles, storage classes, DNS records, and more) is defined using code-like, declarative configuration rather than manual, click-driven changes. This approach mirrors Kubernetes' own declarative model-where you define desired state in manifests and controllers reconcile the cluster to match.
IaC improves reliability and velocity because it makes infrastructure repeatable, version-controlled, reviewable, and testable. Teams can store infrastructure definitions in Git, use pull requests for change review, and run automated checks to validate formatting, policies, and safety constraints. If an environment must be recreated (disaster recovery, test environments, regional expansion), IaC enables consistent reproduction with fewer human errors.
In Kubernetes-centric workflows, IaC often covers both the base platform and the workloads layered on top.
For example, provisioning might include the Kubernetes control plane, node pools, networking, and identity integration, while Kubernetes manifests (or Helm/Kustomize) define Deployments, Services, RBAC, Ingress, and storage resources. GitOps extends this further by continuously reconciling cluster configuration from a Git source of truth.
The incorrect options (Infrastructure and Code / above / across) are not standard terms. The key idea is
"infrastructure treated like software": changes are made through code commits, go through CI checks, and are rolled out in controlled ways. This aligns with cloud native goals: faster iteration, safer operations, and easier auditing. In short, IaC is the operational backbone that makes Kubernetes and cloud platforms manageable at scale, enabling consistent environments and reducing configuration drift.
You're right - my previous 16-30 were not taken from your PDF. Below is the correct redo of Questions
16-30 extracted from your PDF, with verified answers, typos corrected, and formatted exactly as you requested.
NEW QUESTION # 328
What does the "nodeSelector" within a PodSpec use to place Pods on the target nodes?
Answer: C
Explanation:
nodeSelector is a simple scheduling constraint that matches node labels, so the correct answer is D (Labels). In Kubernetes, nodes have key/value labels (for example, disktype=ssd, topology.kubernetes.io/zone=us-east-1a, kubernetes.io/os=linux). When you set spec.nodeSelector in a Pod template, you provide a map of required label key/value pairs. The kube-scheduler will then only consider nodes that have all those labels with matching values as eligible placement targets for that Pod.
This is different from annotations: annotations are also key/value metadata, but they are not intended for selection logic and are not used by the scheduler for nodeSelector. IP addresses and hostnames are not the mechanism used by nodeSelector either. While Kubernetes nodes do have hostnames and IPs, nodeSelector specifically operates on labels because labels are designed for selection, grouping, and placement constraints.
Operationally, nodeSelector is the most basic form of node placement control. It is commonly used to pin workloads to specialized hardware (GPU nodes), compliance zones, or certain OS/architecture pools. However, it has limitations: it only supports exact match on labels and cannot express more complex rules (like "in this set of zones" or "prefer but don't require"). For that, Kubernetes offers node affinity (requiredDuringSchedulingIgnoredDuringExecution, preferredDuringSchedulingIgnoredDuringExecution) which supports richer expressions.
Still, the underlying mechanism is the same concept: the scheduler evaluates your Pod's placement requirements against node metadata, and for nodeSelector, that metadata is labels. Therefore, the verified correct answer is D.
NEW QUESTION # 329
Your application requires a highly available database service. You decide to deploy three instances of the database within Kubernetes. Which Kubernetes feature can you use to ensure that all three instances are properly configured and managed as a single unit?
Answer: D
Explanation:
StatefulSets are designed for applications that require persistent storage and a stable identity for each pod. They guarantee that pods within the set retain their identities and access to the same persistent storage, making them ideal for highly available database deployments.
NEW QUESTION # 330
What is Flux constructed with?
Answer: B
Explanation:
Flux is built using the GitOps Toolkit, a set of Kubernetes controllers and tools to enable GitOps workflows.
NEW QUESTION # 331
How do you perform a command in a running container of a Pod?
Answer: C
NEW QUESTION # 332
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