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Interview Preparation Guide

Most Asked DevOps Interview Questions

Here we have compiled the most probable DevOps interview questions asked in the industry. You will learn about software version control, Git repository, reverting a commit in Git, Vagrant, continuous testing elements, and the importance of continuous integration, testing, and deployment. These questions are curated after discussing with many interviewers and DevOps Training experts.

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Interview Questions
Showing 311 - 320 of 325 results
311. How does Kubernetes handle resource allocation and scheduling of workloads within a cluster?

Kubernetes manages resource allocation by letting pods specify their resource needs and limits, and uses schedulers to place them on nodes based on available resources. It also supports automatic scaling to adjust resources as workload demands change, ensuring efficient allocation and scheduling within the cluster.

312. What are the key components of a Kubernetes cluster?

Master Node, Worker Nodes, Kubelet, Kube Proxy, etcd, Controller Manager, Scheduler and API Server.

313. How does Kubernetes manage containerized applications?

Deploying ContainersIt schedules containers to run on nodes in the cluster.
ScalingIt can automatically scale applications based on resource usage.
Load BalancingIt balances traffic between containers for high availability.
Health MonitoringIt checks the health of containers and restarts failed ones.
Rolling UpdatesIt updates applications without downtime using rolling updates.
Resource AllocationIt allocates resources like CPU and memory to containers based on requirements.

314. What is a Pod in Kubernetes, and how does it relate to containers?

A Pod in Kubernetes is a group of one or more containers that share resources and are deployed together. It's the basic unit for running containers in Kubernetes, allowing them to work together closely.

315. Explain the role of a Deployment in Kubernetes.

A Deployment in Kubernetes manages the deployment and scaling of applications. It ensures that a specified number of identical pods are running and handles updates and rollbacks, making application management easier.

316. What is a Service in Kubernetes, and why is it important for networking?

A Service in Kubernetes is a way to access and communicate with pods. It's important for networking because it provides a stable endpoint, enables load balancing, and facilitates service discovery, making applications more reliable and easier to manage.

317. What are Kubernetes Namespaces, and why are they used?

Kubernetes Namespaces are virtual clusters that help organize and isolate resources within a Kubernetes cluster. They are used to separate applications, teams, or projects, making it easier to manage and secure resources independently.

318. Describe the concept of Persistent Volumes in Kubernetes.

Persistent Volumes (PVs) in Kubernetes are storage resources that provide persistent storage for applications. They are managed independently of pods and can be dynamically provisioned and controlled by the cluster administrator. PVs simplify storage management by decoupling storage from application lifecycles.

319. What is the purpose of a ConfigMap in Kubernetes, and how is it used?

A ConfigMap in Kubernetes is used to decouple configuration data from containerized applications. Its purpose is to store key-value pairs, environment variables, or configuration files that can be injected into pods at runtime. ConfigMaps help in maintaining configuration consistency across different environments and make it easier to update configuration settings without changing the application code.

320. Explain the difference between a StatefulSet and a Deployment in Kubernetes.

Manages stateful applications where each pod has a unique identity and persists data.Manages stateless applications where each pod is interchangeable and does not maintain state.
Pods managed by StatefulSet have stable network identifiers and persistent storage.Pods managed by Deployment do not have stable identities or persistent storage.
Pods are created and terminated in a predictable, ordered manner, suitable for databases or clustered applications.Pods can be scaled up or down, updated, and rolled back easily.

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