Kubernetes Build, Configure & Troubleshoot Clusters Exam Questions and Answers

Kubernetes: Build, Configure & Troubleshoot Clusters certification exam assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Kubernetes: Build, Configure & Troubleshoot Clusters exam and earn Kubernetes: Build, Configure & Troubleshoot Clusters certificate.

Question 1

Why is the introduction important in a technical training course?

A. To outline course goals, expectations, and the learning roadmap
B. To skip theory and dive straight into advanced commands
C. To immediately configure cloud clusters
D. To install Kubernetes prerequisites

Answer

A. To outline course goals, expectations, and the learning roadmap

Explanation

The intro prepares learners by showing objectives and structure. The introduction in a technical training course establishes context by clarifying objectives, defining expectations, and outlining the sequence of topics so learners know what they will build toward. This framing helps participants understand prerequisites, the structure of the curriculum, and how each module connects to the overall certification requirements, which supports more efficient learning.

Question 2

What does the early part of Kubernetes training emphasize?

A. Deploying production workloads on Kubernetes
B. Understanding what Kubernetes is and why it is used
C. Using Helm charts for app deployments
D. Setting up worker nodes directly

Answer

B. Understanding what Kubernetes is and why it is used

Explanation

The training starts with explaining Kubernetes basics and importance. Early Kubernetes training focuses on foundational concepts to ensure learners have a solid grasp of the platform’s purpose, core functionality, and the problems it solves. Before working with clusters or workloads, trainees need a conceptual grounding that explains orchestration, containerized workloads, and the value Kubernetes brings to scaling and managing distributed systems.

Question 3

Which of the following is considered a basic component of Kubernetes introduced early in the course?

A. HTML DOM Elements
B. EC2 Load Balancers
C. Active Directory Domains
D. Pods and Services

Answer

D. Pods and Services

Explanation

Pods and Services are essential Kubernetes components. Pods and Services are among the first components introduced in Kubernetes education because they define how applications run and communicate within a cluster. Pods encapsulate one or more containers, while Services provide stable endpoints for accessing these Pods, making them essential to understanding how Kubernetes organizes and exposes application workloads.

Question 4

What is the role of the Kubernetes master node in the architecture?

A. Managing and controlling the cluster state
B. Running user application containers
C. Providing storage directly
D. Handling external DNS resolution

Answer

A. Managing and controlling the cluster state

Explanation

The master manages scheduling, desired state, and coordination. The master node, or control plane, coordinates and manages the entire cluster by maintaining the desired state, scheduling workloads, and handling API interactions. It acts as the decision-making layer that evaluates cluster health, applies configuration changes, and ensures the system remains consistent with the user-defined specifications.

Question 5

What is meant by Kubernetes’ “desired state”?

A. The state defined by users that Kubernetes continuously enforces
B. A backup snapshot of cluster configuration
C. The automatic scaling of EC2 instances
D. The configuration of Dockerfiles for images

Answer

A. The state defined by users that Kubernetes continuously enforces

Explanation

Kubernetes maintains resources to match user-declared desired state. Desired state refers to the configuration expressed by users—such as the number of Pods or specific application versions—that Kubernetes constantly monitors and preserves. If actual conditions deviate due to failures or updates, Kubernetes automatically corrects them to match the defined specifications, ensuring consistent and reliable operations.

Question 6

Which of the following tasks would occur during instance creation in Kubernetes setup?

A. Troubleshooting worker node failures
B. Installing Helm charts
C. Provisioning compute resources for cluster nodes
D. Creating namespaces for applications

Answer

C. Provisioning compute resources for cluster nodes

Explanation

Instance creation ensures nodes are ready for cluster setup. Instance creation in a Kubernetes setup involves allocating compute, memory, and storage resources that will form the cluster’s nodes. This process typically includes launching virtual machines or physical hosts that will serve as either control plane or worker nodes, providing the building blocks for the cluster’s capacity and performance.

Question 7

Why would someone deploy a Kubernetes cluster on AWS?

A. To run Kubernetes without any underlying infrastructure
B. To replace Kubernetes with AWS-native services
C. To avoid using networking and storage services
D. To leverage cloud resources like EC2 for scalable cluster nodes

Answer

D. To leverage cloud resources like EC2 for scalable cluster nodes

Explanation

AWS provides compute resources for Kubernetes clusters. Deploying Kubernetes on AWS allows teams to take advantage of AWS’s elastic compute, networking, and storage services, enabling scalable and resilient clusters. This approach supports high availability, regional distribution, and dynamic resource allocation through AWS infrastructure while still using Kubernetes as the orchestration layer.

Question 8

What does cluster creation on AWS involve?

A. Shutting down existing nodes
B. Deploying Minikube locally
C. Launching and connecting resources to form a working cluster
D. Installing web servers like Apache

Answer

C. Launching and connecting resources to form a working cluster

Explanation

Creation involves provisioning and connecting nodes. Cluster creation on AWS typically includes launching instances, configuring networking components, and linking them with Kubernetes control plane services so they operate as a unified cluster. The process establishes node roles, bootstraps essential components, and ensures communication paths and authentication are correctly implemented.

Question 9

When deleting a Kubernetes cluster on AWS, what is the primary consideration?

A. Reconfiguring Minikube settings
B. Preserving Pods after deletion
C. Reducing the Docker image size
D. Ensuring resources like EC2 instances and storage are cleaned up

Answer

D. Ensuring resources like EC2 instances and storage are cleaned up

Explanation

Safe deletion requires removing allocated resources. When deleting a Kubernetes cluster on AWS, it is necessary to confirm that all underlying cloud resources—such as EC2 instances, load balancers, and storage volumes—are fully removed to prevent unnecessary charges. This ensures the environment is left in a clean state with no orphaned infrastructure consuming cost or creating security risks.

Question 10

Which best describes Kubernetes at a high level?

A. A monitoring tool for applications
B. A programming language for cloud-native apps
C. A container orchestration platform for managing applications
D. A Linux distribution for running servers

Answer

C. A container orchestration platform for managing applications

Explanation

Kubernetes orchestrates and manages containers. Kubernetes is best understood as a platform that automates deployment, scaling, and lifecycle management of containerized applications. It coordinates distributed workloads across multiple nodes, maintains desired state, and provides primitives for networking, service discovery, and self-healing operations.

Question 11

Why are Pods central to Kubernetes operation?

A. They store configuration files for the cluster
B. They are the smallest deployable units that run containers
C. They provide identity and access management
D. They monitor the health of the control plane

Answer

B. They are the smallest deployable units that run containers

Explanation

Pods wrap one or more containers into a deployable unit. Pods are central to Kubernetes because they encapsulate containers and define the environment in which those containers operate. As the smallest deployable unit, they allow Kubernetes to manage application instances, networking, storage attachments, and lifecycle actions at a granular but consistent level.

Question 12

What is the responsibility of the Kubernetes API Server?

A. Storing container images
B. Monitoring node CPU and memory
C. Allocating persistent storage to apps
D. Serving as the central communication hub for the cluster

Answer

D. Serving as the central communication hub for the cluster

Explanation

All cluster requests go through the API server. The API Server handles all internal and external communication by exposing the Kubernetes API and processing configuration requests. It validates and stores cluster data, receives workload specifications, and acts as the authoritative interface through which all components interact, making it the core control plane endpoint.

Question 13

Which describes the role of a Kubernetes Worker Node?

A. Configures ingress rules
B. Executes workloads (Pods and containers) assigned by the master
C. Schedules pods to run
D. Manages cluster certificates

Answer

B. Executes workloads (Pods and containers) assigned by the master

Explanation

Worker nodes run containers and workloads. Worker nodes run the actual application workloads by hosting Pods and containers scheduled by the control plane. They supply compute capacity, interact with the container runtime, and report status back to the master to ensure the cluster maintains alignment with the declared configuration.

Question 14

What concept allows Kubernetes to “self-heal” workloads?

A. Helm Charts
B. Declarative desired state reconciliation
C. Role-Based Access Control (RBAC)
D. Docker Swarm

Answer

B. Declarative desired state reconciliation

Explanation

Kubernetes ensures the actual state matches the declared state. Kubernetes achieves self-healing by constantly comparing the actual cluster condition to the desired state and correcting discrepancies. If a Pod fails or a node becomes unavailable, Kubernetes automatically recreates or reschedules workloads, maintaining reliability without requiring manual intervention.

Question 15

Which of the following is NOT a native Kubernetes component?

A. Amazon EC2
B. Etcd
C. Scheduler
D. Controller Manager

Answer

A. Amazon EC2

Explanation

EC2 is AWS infrastructure, not a Kubernetes component. Amazon EC2 is not a native Kubernetes component; it is an external cloud compute service. In contrast, Etcd, the Scheduler, and the Controller Manager are integral parts of the Kubernetes control plane responsible for storing state, scheduling workloads, and maintaining cluster consistency.

Question 16

When creating cluster instances, which factor is most important?

A. The version of Docker Hub repositories
B. The compute and memory capacity of nodes
C. The number of Helm charts installed
D. The IDE used by developers

Answer

B. The compute and memory capacity of nodes

Explanation

Instances must be appropriately sized for workloads When creating cluster instances, selecting appropriate compute and memory resources is essential because these determine how well the cluster will handle expected workloads. Proper node sizing ensures applications run efficiently, avoids resource contention, and supports reliable scaling and performance characteristics.

Question 17

Which Kubernetes component ensures containers are restarted if they fail?

A. Kube-scheduler
B. Kubectl
C. CoreDNS
D. Kubelet

Answer

D. Kubelet

Explanation

Kubelet monitors and restarts containers as needed. The Kubelet is responsible for monitoring container health on each node and restarting containers if they fail, ensuring workloads stay operational. It continuously communicates with the API Server to enforce the desired state and manages container lifecycle actions at the node level.

Question 18

Why might an organization choose AWS for Kubernetes clusters?

A. AWS offers scalable compute, networking, and storage infrastructure
B. AWS automatically installs Minikube
C. AWS removes the need for Kubernetes control plane
D. AWS provides a pre-built master node by default

Answer

A. AWS offers scalable compute, networking, and storage infrastructure

Explanation

Kubernetes leverages AWS infrastructure for scaling. Organizations choose AWS to host Kubernetes clusters because AWS provides robust, elastic, and globally distributed infrastructure that supports scalable clusters. This allows Kubernetes to run on highly available compute, network, and storage services, enhancing reliability and operational flexibility.

Question 19

When deleting a Kubernetes cluster on AWS, what should be double-checked?

A. That no critical applications or data will be lost
B. That Docker images are rebuilt
C. That kubectl is installed
D. That Minikube is updated

Answer

A. That no critical applications or data will be lost

Explanation

Deletion removes workloads and associated resources. Before deleting a Kubernetes cluster on AWS, it is essential to verify that no critical workloads, persistent volumes, or important configurations will be lost. Ensuring backups or migrations are completed prevents accidental data loss and avoids service disruptions that could affect production or development environments.