DevOps Interview Questions for Freshers: Top 35 Questions & Answers

DevOps has become one of the most valuable skills in today's software industry. Whether you're applying for a Software Engineer, Cloud Engineer, Site Reliability Engineer (SRE) or DevOps Engineer role, you'll likely face a few DevOps interview questions. The reason is straightforward. Modern software isn't just about writing code anymore. Companies expect engineers to know how applications are built, tested, deployed, monitored and maintained after they're released. A basic understanding of DevOps helps developers contribute throughout the software development lifecycle instead of focusing only on coding.

During interviews, recruiters often ask questions related to CI/CD pipelines, Docker, Kubernetes, Git, Jenkins, cloud platforms like AWS, Azure or Google Cloud, Infrastructure as Code (Terraform and Ansible), monitoring tools such as Prometheus and Grafana and scripting using Shell, Bash or Python. If you're new to DevOps, don't worry. Most entry-level interviews focus on understanding the fundamentals rather than expecting hands-on experience with every tool. This guide begins with the basic concepts that every fresher should know before attending a DevOps interview.

Basic DevOps Interview Questions for Freshers

The questions below cover the core concepts of DevOps. They're commonly asked in fresher interviews because they help interviewers understand whether you have a solid foundation before moving on to advanced topics.

1. What is DevOps?

DevOps is a way of developing and delivering software where developers and operations teams work together throughout the entire software lifecycle.

In the past, developers mainly focused on writing code, while another team was responsible for deploying and maintaining the application. Since both teams worked independently, software releases often took longer, communication gaps were common and production issues were harder to resolve.

DevOps removes this separation by encouraging collaboration from the beginning of a project until the application is running successfully in production. Everyone shares responsibility for building, testing, deploying, monitoring and improving the software.

Automation is another important part of DevOps. Tasks that were once performed manually such as compiling code, running tests, creating deployment packages or releasing new versions can now be automated. This saves time, reduces human error and makes software releases more reliable.

A typical DevOps workflow looks like this:

• A developer writes code and pushes it to a Git repository.
• A CI/CD pipeline automatically builds the application.
• Automated tests verify that the new changes don't break existing functionality.
• If all tests pass, the application is deployed to a testing or staging environment.
• After approval, the same pipeline deploys the application to production.
• Monitoring tools continuously track the application's health and alert the team if any issues occur.

Some of the most commonly used DevOps practices include:

• Continuous Integration (CI)
• Continuous Delivery (CD)
• Continuous Deployment
• Infrastructure as Code (IaC)
• Automated Testing
• Continuous Monitoring
• Containerization using Docker
• Container Orchestration using Kubernetes

The main objective of DevOps is to deliver software faster without compromising quality. By improving collaboration and automating repetitive tasks, teams can release new features more frequently, detect issues earlier and recover from failures much more quickly.

Example

Imagine you're working on an online shopping application and you've fixed a bug in the payment module.

Without DevOps, the process might involve sending the code to another team, waiting for them to build the application manually, deploying it to a server and verifying everything step by step. This can take hours or even days.

With DevOps practices in place, the process becomes much smoother. As soon as the code is pushed to Git, the CI/CD pipeline automatically builds the application, runs automated tests, creates the deployment package and deploys it to the required environment. If any test fails, the deployment stops automatically, preventing faulty code from reaching production.

This automated workflow allows development teams to release updates more confidently while spending less time on repetitive manual work.

2. What is a DevOps Engineer?

A DevOps Engineer is responsible for bridging the gap between software development and IT operations. Their job isn't limited to writing code or managing servers they help make the entire software delivery process faster, smoother and more reliable.

In a typical software project, developers write code, while operations teams deploy and maintain the application. A DevOps Engineer works with both teams to automate these activities, reduce manual effort and ensure applications can be released quickly without sacrificing quality.

Depending on the organization, a DevOps Engineer may be responsible for:

• Building and maintaining CI/CD pipelines
• Automating software deployments
• Managing cloud infrastructure
• Working with Docker and Kubernetes
• Monitoring applications and servers
• Troubleshooting production issues
• Improving system reliability and scalability

The ultimate goal is simple: make software releases faster, safer and easier to manage.

3. Which programming and scripting languages should you learn to become a DevOps Engineer?

You don't need to master every programming language to become a DevOps Engineer, but having basic programming and scripting skills makes your work much easier. Programming languages help you build automation tools and understand application code, while scripting languages are commonly used to automate day-to-day operational tasks.

Here are some of the most useful languages to learn:

Programming Languages

• Go (Golang)
• Python
• Java
• Ruby

Scripting Languages

• Bash
• Shell Scripting
• PowerShell
• Groovy

Among these, Python and Bash are the most widely used in real-world DevOps environments because they are simple, powerful and supported by almost every platform.

4. What is SSH?

SSH (Secure Shell) is a protocol that allows you to securely connect to another computer or server over a network. Instead of sending passwords and commands as plain text, SSH encrypts the communication, making it much safer than older protocols like Telnet. Developers and DevOps engineers use SSH almost every day to manage remote Linux servers.

Some common uses of SSH include:

• Logging into remote servers
• Running commands on another machine
• Copying files securely using SCP or SFTP
• Setting up secure tunnels and port forwarding
• Authenticating with SSH keys instead of passwords

Example

Suppose your application is running on an AWS EC2 instance. Instead of physically accessing that machine, you can simply connect using SSH:

ssh ubuntu@192.168.1.100

After logging in, you can restart services, check logs, deploy applications or troubleshoot issues directly from your terminal.

5. What is CI/CD?

CI/CD stands for Continuous Integration and Continuous Delivery (or Continuous Deployment).

It's a development practice that automates the process of building, testing and deploying applications whenever developers make changes to the source code. Instead of waiting until the end of a project to integrate everyone's work, developers merge their code frequently. Automated pipelines then verify that everything works correctly before the application is released.

Continuous Integration (CI)

Continuous Integration focuses on combining code changes from multiple developers into a shared repository several times a day. Whenever new code is pushed to Git, the CI pipeline automatically:

• Downloads the latest code
• Compiles the project
• Runs unit tests
• Performs code quality checks
• Generates build artifacts

This helps identify issues early, before they become difficult to fix.

Continuous Delivery (CD)

Continuous Delivery takes over once the application has been successfully built and tested. It automatically prepares the application for deployment by:

• Deploying to development or staging environments
• Running integration, UI and performance tests
• Verifying that the application behaves as expected

The final production deployment usually requires manual approval.

Continuous Deployment

Continuous Deployment goes one step further. If every automated test passes successfully, the application is deployed to production automatically without any manual intervention.

6. What is the difference between Horizontal Scaling and Vertical Scaling?

Scaling is the process of increasing the capacity of an application so it can handle more users or traffic. There are two common approaches.

Horizontal Scaling

Horizontal scaling means adding more servers instead of upgrading an existing one.

For example, if one web server cannot handle all incoming requests, you can add two or three more servers and place a load balancer in front of them.

This approach offers several advantages:

• Can handle very high traffic
• Better fault tolerance
• Easier to scale gradually
• No single point of failure

Think of it like opening more billing counters in a supermarket. More counters allow more customers to be served simultaneously.

Vertical Scaling

Vertical scaling means making an existing server more powerful. Instead of adding more machines, you increase its CPU, RAM or storage. This approach is simpler because you're managing only one server.

However, every machine has a hardware limit and upgrading often requires downtime. A simple example is upgrading your laptop from 8 GB RAM to 32 GB RAM. The machine becomes faster, but it's still just one machine.

Horizontal vs Vertical Scaling

7. What is Blue-Green Deployment?

Blue-Green Deployment is a deployment strategy used to release new versions of an application with minimal downtime and lower risk. Instead of replacing the existing application directly, two production environments are maintained.

• Blue Environment contains the current stable version.
• Green Environment contains the new version with recent changes.

Initially, all users continue using the Blue environment.

Once the Green environment has been tested successfully, traffic is switched from Blue to Green. If any unexpected issue appears, traffic can immediately be redirected back to Blue, allowing users to continue using the stable version. This makes rollbacks extremely fast and reduces deployment risk.

8. What is the difference between Agile and DevOps?

Although Agile and DevOps are often mentioned together, they solve different problems.

• Agile focuses on how software is planned and developed.

• DevOps focuses on how software is built, deployed, monitored and maintained after development.

In many organizations, Agile and DevOps work together rather than replacing each other.

9. What is Continuous Testing?

Continuous Testing is the practice of automatically testing an application throughout the CI/CD pipeline instead of waiting until development is complete. Every time developers push new code, automated tests are executed to verify that the application still works correctly.

These tests may include:

• Unit Testing
• Integration Testing
• API Testing
• UI Testing
• Performance Testing
• Security Testing

Running tests continuously helps teams detect bugs early and reduces the chances of releasing defective software.

10. What is the role of AWS in DevOps?

AWS provides a wide range of cloud services that simplify software development, deployment, monitoring and infrastructure management. Instead of managing physical servers, teams can provision cloud resources within minutes and automate almost everything.

Some commonly used AWS services in DevOps include:

AWS helps organizations deploy applications faster while improving scalability, reliability and cost efficiency.

11. What is Configuration Management?

Configuration Management is the process of managing and maintaining the configuration of servers, applications and infrastructure in a consistent and predictable way. Without configuration management, servers can slowly become different from one another because of manual changes, making bugs difficult to reproduce. Configuration management tools ensure that every server follows the same configuration.

For example, if your application requires:

• Nginx
• Java 21
• Docker
• Redis
• Specific firewall rules

A configuration management tool can automatically install and configure everything whenever a new server is created. Popular tools include:

• Ansible
• Puppet
• Chef
• SaltStack

Using configuration management improves consistency, reduces manual work and makes infrastructure easier to maintain as systems grow.

12. What is Infrastructure as Code (IaC)?

Infrastructure as Code (IaC) is the practice of creating and managing infrastructure using code instead of configuring everything manually through a cloud console or server. Think about setting up a new server. Instead of logging into AWS, creating resources one by one, installing software manually and repeating the same steps every time, you write the entire setup in a configuration file. Whenever you need the same environment again, you simply run the code.

This approach makes infrastructure predictable, repeatable and much easier to manage. Popular IaC tools include:

• Terraform
• AWS CloudFormation
• Ansible
• Pulumi

Why is IaC important?

• Every environment is created the same way.
• Infrastructure can be recreated within minutes.
• Configuration changes can be tracked using Git.
• Manual errors are greatly reduced.
• Scaling infrastructure becomes much easier.

13. Explain the concept of branching in Git.

A Git branch is simply an independent line of development. Instead of making changes directly to the main branch, developers create a new branch to work on a feature, bug fix or experiment. This keeps the production code stable while development continues.

For example, suppose you're adding a login feature. Instead of modifying the main branch directly, you create a branch called:

git checkout -b feature/login

Once the feature is complete and tested, it's merged back into the main branch. Using branches allows multiple developers to work on different features simultaneously without affecting each other's work. Some commonly used branching strategies are:

• Feature Branching
• Git Flow
• GitHub Flow
• Trunk-Based Development

14. What is Git Stash?

Sometimes you're in the middle of writing code when an urgent issue comes in. Your current work isn't ready to commit, but you need to switch branches immediately. That's exactly when git stash becomes useful. It temporarily saves your uncommitted changes and restores your working directory to a clean state. Later, when you're ready to continue, you can restore those changes.

git stash

Restore them using:

git stash pop

Git Stash is useful when you want to pause your current work without creating unnecessary commits.

15. What is a Git Repository?

A Git repository is the place where Git stores your project's files along with their complete version history. Every commit, branch, tag and change made to the project is stored inside the repository.

Repositories can be:

• Local Repository – Stored on your own computer.
• Remote Repository – Hosted on platforms like GitHub, GitLab or Bitbucket.

A repository allows developers to collaborate, track changes and restore previous versions whenever required.

16. Name three important DevOps KPIs.

DevOps teams use Key Performance Indicators (KPIs) to measure how efficiently software is delivered. Three of the most important KPIs are:

These three metrics are part of Google's DORA metrics and are widely used to evaluate DevOps performance.

17. What is Jenkins?

Jenkins is an open-source automation server used to automate repetitive tasks in the software development lifecycle. Instead of manually building, testing and deploying an application every time code changes, Jenkins performs these tasks automatically.

A typical Jenkins pipeline might:

• Pull code from Git
• Build the application
• Run automated tests
• Generate reports
• Deploy to staging
• Deploy to production

Jenkins supports hundreds of plugins, allowing it to integrate with tools like Docker, Kubernetes, GitHub, Maven, SonarQube and Terraform.

18. What is Git Cherry-pick?

Git Cherry-pick allows you to copy a specific commit from one branch and apply it to another branch. Instead of merging an entire branch, you can select only the commit you need.

For example:

git cherry-pick <commit-hash>

This is especially useful when a bug fix needs to be moved to another branch without bringing unrelated changes.

19. What is the sudo command in Linux?

sudo stands for Super User Do. It allows a regular user to execute commands with administrator privileges. Many Linux operations require elevated permissions, such as:

• Installing software
• Restarting services
• Editing system configuration files
• Managing users

For example:

sudo apt update

Instead of logging in as the root user, Linux recommends using sudo because it's more secure and every privileged command is logged.

20. What is the difference between Git Fetch and Git Pull?

Example

git fetch origin

Downloads new commits without affecting your code. Whereas:

git pull origin main

Downloads and merges the latest changes into your current branch.

21. What are the components of Selenium?

Selenium is a popular framework used for automating web browser testing. Its main components are:

22. What is Puppet?

Puppet is a configuration management tool used to automate server configuration. Instead of manually installing software and configuring every server, you define the desired state using Puppet code.

Whenever a server drifts away from that configuration, Puppet automatically brings it back to the expected state. This ensures all servers remain consistent across environments.

23. What is Ansible?

Ansible is an open-source automation tool widely used for configuration management, application deployment and server provisioning.

One of its biggest advantages is that it's agentless. Unlike many other tools, Ansible doesn't require any software to be installed on the target servers. It communicates over SSH.

Automation tasks are written using YAML files called Playbooks, which are easy to read and maintain. Ansible is commonly used for:

• Deploying applications
• Installing software
• Configuring servers
• Managing cloud infrastructure
• Automating repetitive administrative tasks

24. What is Automation Testing?

Automation testing is the process of using software tools to execute test cases automatically. Instead of manually repeating the same tests after every code change, automated tests verify that the application still works as expected.

Automation testing is especially useful for:

• Regression Testing
• API Testing
• UI Testing
• Performance Testing
• Smoke Testing

By integrating automated tests into the CI/CD pipeline, teams receive immediate feedback whenever a new change introduces a bug.

25. Why is Continuous Feedback important in DevOps?

Continuous Feedback means collecting information throughout the software development lifecycle so teams can improve quickly. Feedback can come from:

• Automated test results
• Monitoring tools
• Application logs
• Security scans
• Customer feedback
• Production metrics

Instead of discovering problems weeks later, developers receive immediate feedback and can fix issues before they affect users. This leads to faster releases and better software quality.

26. What is Git Bash?

Git Bash is a command-line tool for Windows that provides a Linux-like terminal along with Git commands. It allows developers to:

• Clone repositories
• Create branches
• Commit code
• Push changes
• Pull updates
• Run shell commands

For Windows users, Git Bash offers an experience similar to working in a Linux terminal.

27. What is Git Squashing?

Git Squashing combines multiple commits into a single commit.

Imagine you've made ten small commits while developing a feature. Instead of merging all ten commits into the main branch, you can squash them into one clean commit.

This keeps the project's commit history easier to read and maintain. Squashing is commonly performed before creating a Pull Request.

29. What is a Merge Conflict in Git?

A merge conflict occurs when Git cannot automatically combine changes from two branches. This usually happens when two developers modify the same section of the same file.

Git doesn't know which version should be kept, so it asks the developer to resolve the conflict manually. After reviewing the conflicting code, the developer chooses the correct version and completes the merge.

30. What is Git Prune?

Git Prune is a housekeeping command used to remove Git objects that are no longer reachable by any branch or reference. Over time, deleted branches and old commits can leave behind unused objects that occupy disk space.

Running Git Prune helps clean up those unnecessary objects and keeps the repository tidy. If you also want to remove references to deleted remote branches, you can use:

git fetch --prune

This command updates your local repository and removes references to remote branches that no longer exist. This version reads much more like a practical interview guide than lecture notes, while remaining technically accurate and SEO-friendly.

31. What's the difference between HTTP and HTTPS?

HTTP and HTTPS are both protocols used to transfer data between a web browser and a web server. The main difference is security.

• HTTP (HyperText Transfer Protocol) sends data in plain text, which means anyone intercepting the communication can read it.

• HTTPS (HyperText Transfer Protocol Secure) encrypts the data before sending it using SSL/TLS, making the communication secure.

32. What are Virtual Machines (VMs)?

A Virtual Machine (VM) is a software-based computer that runs its own operating system on top of a physical machine. Using virtualization, a single physical server can run multiple virtual machines independently. Each VM has its own CPU, memory, storage and operating system.

VMs are commonly used for:

• Running multiple operating systems
• Creating development and testing environments
• Hosting applications in the cloud
• Isolating workloads

Although VMs are still widely used, many modern DevOps teams prefer containers like Docker because they're lighter, start much faster and use fewer system resources.

33. What is the difference between Continuous Delivery and Continuous Deployment?

Both Continuous Delivery and Continuous Deployment automate software releases, but they differ in the final deployment step.

• In Continuous Delivery, the application is automatically built and tested, but a person decides when it should be released to production.

• In Continuous Deployment, the entire process is automated. Once all tests pass, the application is deployed to production without any manual approval.

34. Explain the different phases of the DevOps lifecycle.

The DevOps lifecycle is a continuous process where software is planned, developed, tested, deployed and monitored. Instead of ending after deployment, the cycle keeps repeating as new features and improvements are added.

35. What are anti-patterns in DevOps and how can you avoid them?

A DevOps anti-pattern is a practice that seems helpful at first but creates problems as the project grows. These practices usually reduce collaboration, slow down releases or make systems harder to maintain. Some common DevOps anti-patterns are: