Kubernetes From Fundamentals to Advanced Deployment Exam Questions and Answers

Kubernetes: From Fundamentals to Advanced Deployment 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: From Fundamentals to Advanced Deployment exam and earn Kubernetes: From Fundamentals to Advanced Deployment certificate.

Question 1

Which best describes Kubernetes?

A. A virtualization tool for creating virtual machines
B. A replacement for Linux operating systems
C. An open-source platform for orchestrating containerized applications
D. A programming framework for Java development

Answer

C. An open-source platform for orchestrating containerized applications

Explanation

Kubernetes automates deployment, scaling, and management of containers. Kubernetes is an open-source system designed to manage containerized applications by handling deployment, scaling, and operations automatically, allowing teams to run distributed workloads efficiently across clusters.

Question 2

What are the two primary components of a Kubernetes cluster?

A. Containers and Pods
B. Users and APIs
C. Services and Deployments
D. Control plane and worker nodes

Answer

D. Control plane and worker nodes

Explanation

These are the two key structural components of a Kubernetes cluster. A Kubernetes cluster is built from a control plane that makes global decisions and stores cluster state, and worker nodes that run the actual application workloads inside Pods.

Question 3

Which is a core benefit of container orchestration with Kubernetes?

A. It eliminates the need for container images
B. It ensures applications never fail
C. It automates scaling, deployment, and resource management
D. It replaces all DevOps pipelines

Answer

C. It automates scaling, deployment, and resource management

Explanation

Kubernetes orchestration handles these processes efficiently. Kubernetes provides automated deployment, scaling, healing, and resource allocation for containers, enabling reliable and consistent operations without manual intervention.

Question 4

Which tool is commonly used for installing Kubernetes clusters?

A. Docker Compose
B. Kubeadm
C. Jenkins
D. Terraform

Answer

B. Kubeadm

Explanation

Kubeadm is a tool designed for setting up Kubernetes clusters. Kubeadm is a standard tool that initializes and configures Kubernetes clusters, providing a straightforward method for creating both control plane and worker nodes.

Question 5

Which service provides managed Kubernetes clusters on Google Cloud?

A. Amazon ECS
B. Google Kubernetes Engine (GKE)
C. Azure AKS
D. OpenShif

Answer

B. Google Kubernetes Engine (GKE)

Explanation

GKE offers fully managed Kubernetes clusters on Google Cloud. Google Kubernetes Engine offers fully managed Kubernetes clusters on Google Cloud, handling tasks like upgrades, scaling, and cluster management.

Question 6

What is the primary purpose of Kubernetes installation?

A. To install Docker as a runtime
B. To update system kernel versions
C. To replace existing cloud providers
D. To configure the master and worker nodes for orchestration

Answer

D. To configure the master and worker nodes for orchestration

Explanation

Installation ensures cluster nodes are properly set up. Installing Kubernetes sets up control plane and worker node components so the cluster can orchestrate containers, schedule workloads, and manage resources efficiently.

Question 7

Which Kubernetes component exposes the API to users and external tools?

A. Kubelet
B. Scheduler
C. Etcd
D. API Server

Answer

D. API Server

Explanation

The API server is the entry point for all cluster communications. The API Server presents the Kubernetes API, enabling users and automation tools to interact with the cluster and send management requests.

Question 8

Which best describes the role of worker nodes in Kubernetes?

A. They store the entire cluster state
B. They only run monitoring tools
C. They manage networking policies
D. They run the Pods that host application workloads

Answer

D. They run the Pods that host application workloads

Explanation

Worker nodes execute the actual containerized applications. Worker nodes run Pods that contain application containers, providing the compute resources where workloads execute under the control of the Kubernetes scheduler.

Question 9

What type of architecture does Kubernetes follow?

A. Client–Server only
B. Master–Worker (Control plane–Node) architecture
C. Monolithic architecture
D. Peer-to-peer only

Answer

B. Master–Worker (Control plane–Node) architecture

Explanation

Kubernetes clusters are organized into control plane and worker nodes. Kubernetes uses a master–worker architecture, where the control plane manages the cluster while worker nodes run the applications.

Question 10

Which command-line tool is most commonly used to interact with Kubernetes?

A. Terraform
B. Docker CLI
C. Helm
D. kubectl

Answer

D. kubectl

Explanation

Kubectl is the main tool for interacting with Kubernetes clusters. Kubectl is the primary command-line utility used to interact with Kubernetes clusters, allowing users to deploy resources, inspect state, and issue administrative commands.

Question 11

Which container runtime is most commonly associated with Kubernetes?

A. Docker
B. Git
C. VirtualBox
D. Ansible

Answer

A. Docker

Explanation

Docker is the most widely used container runtime with Kubernetes. Docker is the most familiar container runtime associated with Kubernetes, though Kubernetes also supports alternatives like containerd and CRI-O.

Question 12

Which Kubernetes component stores all cluster data?

A. Scheduler
B. Kube-proxy
C. API Server
D. Etcd

Answer

D. Etcd

Explanation

 Etcd is a distributed key-value store used by Kubernetes. Etcd stores all cluster configuration and state data, acting as the reliable key-value store for Kubernetes.

Question 13

Which is a responsibility of the Kubernetes Scheduler?

A. Encrypting secrets
B. Managing YAML manifests
C. Assigning Pods to suitable worker nodes
D. Building container images

Answer

C. Assigning Pods to suitable worker nodes

Explanation

Scheduler ensures Pods are placed on nodes based on resources. The scheduler evaluates resource availability and Pod requirements to assign Pods to the most suitable worker nodes.

Question 14

Which best describes “container orchestration”?

A. Building applications in Python
B. Running a single container on a laptop
C. Automating deployment, scaling, and networking of containers
D. Designing hardware clusters

Answer

C. Automating deployment, scaling, and networking of containers

Explanation

This is the role of orchestration engines like Kubernetes. Container orchestration refers to automating deployment, networking, scaling, and lifecycle management of containers across multiple hosts.

Question 15

What is kubeadm primarily used for?

A. Bootstrapping Kubernetes clusters
B. Creating container images
C. Writing YAML files automatically
D. Managing Pod scheduling

Answer

A. Bootstrapping Kubernetes clusters

Explanation

Kubeadm simplifies cluster setup. Kubeadm is used to bootstrap Kubernetes clusters by initializing control plane components and joining worker nodes through a controlled setup process.

Question 16

Which service provides a managed Kubernetes offering on Azure?

A. AKS
B. GKE
C. Minikube
D. ECS

Answer

A. AKS

Explanation

AKS (Azure Kubernetes Service) provides managed Kubernetes on Azure. Azure Kubernetes Service provides a managed Kubernetes environment on Microsoft Azure, handling cluster operations and reducing administrative overhead.