Top 40 DevOps Interview Questions for 2025 (With Expert Answers)

DevOps has become essential for modern software development. As companies ship features more frequently and with greater reliability, the demand for skilled DevOps engineers continues to rise. 

So yes: There are plenty of job opportunities out there. 

But landing a job requires more than just knowing the right tools. It requires that you demonstrate how you think, collaborate, and solve real-world problems.

I’ve been on both sides already. I was a candidate who had to answer tough Kubernetes questions, and I was part of interviews where we evaluated how someone handles failure in production. And what I’ve learned is that DevOps interviews test how you approach complexity, how you communicate under pressure, and whether you truly understand why tools are used. 

This guide is designed to help you prepare for a DevOps interview, covering everything from the basics to advanced system design, as well as technical questions and behavioral scenarios. Whether you’re entering the field or leveling up, these questions will help you deepen your skills, speak confidently, and show up ready.

Basic DevOps Interview Questions

These questions assess your understanding of core DevOps principles. Don’t just memorize definitions. Demonstrate that you understand how these ideas apply in real-world settings.

1. What is DevOps and why is it important?

DevOps is a set of practices that brings together development and operations teams to streamline software delivery. 

The goal? Faster releases, higher quality, and tighter feedback loops.

In practice, this means reducing the conflict between code writing and code running.  It’s not just about tools, but about culture, automation, and ownership.

In my previous role, we adopted DevOps to accelerate the deployment of our ML models, which could drastically reduce our deployment time while also improving stability.

2. How is DevOps different from traditional IT?

Traditional IT splits responsibilities: developers write code, and operations teams deploy and maintain it.

DevOps combines these roles, pushing for shared responsibility and automation.

With DevOps:

• Developers often write deployment scripts.
• Ops teams get involved earlier in the development cycle.
• Releases happen continuously and not quarterly.

Think of DevOps as tearing down the wall between two departments that used to only communicate via tickets.

3. What are the key principles of DevOps?

The core principles of DevOps include:

• Collaboration: Breaking silos between dev, ops, QA, and security.
• Automation: Automate testing, deployment, and monitoring.
• Continuous integration and delivery (CI/CD): Shipping small, safe changes often.
• Monitoring and feedback: Continuously learn and adapt based on experiences.

These principles aren’t optional, as they define whether a team is working in a DevOps culture or just using DevOps tools with old habits.

4. Name popular DevOps tools and their use cases.

Here are a few popular tools you’ll hear a lot:

• Git: Version control.
• Jenkins/Gitlab CI: CI/CD pipelines.
• Docker: Containerization.
• Kubernetes: Container orchestration.
• ArgoCD: GitOps.
• Terraform: Infrastructure as Code (IaC).
• Prometheus + Grafana: Monitoring and visualization.

Check out the DevOps Concepts course if you want to learn more about DevOps and popular tools.

5. What is CI/CD?

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

It’s the backbone of DevOps automation.

CI/CD stands for:

• CI: Developers merge code into a shared repo several times a day. Each merge triggers automated builds and tests.
• CD: Once the code passes tests, it’s automatically deployed to production or staging environments.

CI/CD reduces human error and makes releases boring, which is a good thing.

We’ve extensively used CI/CD to test our ML models and the code that runs our models behind an API. Each push to a feature branch triggered the unit tests, while a merge to the main branch triggered the build of a new container image and shipped the model to our customers' Kubernetes namespaces.

If you are interested in learning how CI/CD is used in ML, I recommend the CI/CD for Machine Learning course and our guide to CI/CD in machine learning.

6. What are the benefits of automation in DevOps?

Automation reduces manual effort, increases reliability, and allows teams to scale their operations.

Benefits include:

• Faster feedback loops
• Fewer deployment errors
• Repeatable environments
• Less “it works on my machine” drama

As a rule of thumb: If you do something twice, automate it.

7. What is Infrastructure as Code (IaC)?

IaC is the practice of managing infrastructure (servers, databases, networks) using code.

Instead of manually configuring infrastructure in cloud consoles, you define it in files (e.g., Terraform, CloudFormation). 

This makes your setup:

• Reproducible
• Version-controlled (if you use Git)
• Easy to audit

IaC can enable you to provision entire environments in minutes, rather than days of manual effort.

8. How do Git and version control fit into DevOps?

Version control isn’t only valid for code, but for almost everything.

In DevOps:

• You version your code, infrastructure, and even documentation.
• Git enables collaboration, rollback, and traceability.
• Tools like GitHub Actions or GitLab CI/CD integrate directly with Git workflows for seamless automation.

Version control is the heart of every DevOps infrastructure.

9. What’s the role of monitoring and logging in DevOps?

Without monitoring and logging, debugging can become a nightmare. You can’t simply tell if changes affect your applications positively or negatively without proper monitoring and logging. Or finding and fixing bugs would become nearly impossible without adequate monitoring and logging.

They solve:

• Monitoring tells you what’s happening now (CPU usage, response times, uptime).
• Logging informs you about what happened (errors, stack traces, and unexpected behavior).

Together, they allow you to observe and improve easily. 

I recommend setting up alerting for anomalies, not just failures. This allows you to identify issues before they occur.

10. What’s a simple example of a CI/CD pipeline?

Here’s an example, but quite common, CI/CD flow:

1. Developer merges changes to main branch.
2. Pipeline triggers and runs unit tests, code linting, and static analysis.
3. If the tests pass:
1. Build a Docker image.
2. Push the image to a registry.
3. Deploy to staging via Kubernetes.
4. A manual approval step enables deployment to production if the staging environment appears satisfactory.

This can be built using GitLab CI/CD, Jenkins, or GitHub Actions.

Intermediate DevOps Interview Questions

These questions assess your technical competence, particularly in working with containers, CI/CD workflows, infrastructure tools, and deployments. Expect to justify your design decisions and troubleshoot under pressure.

11. What is a deployment strategy? Can you name a few?

A deployment strategy outlines the process of rolling out new software versions to users. Choosing the right one depends on your system’s complexity, risk tolerance, and rollback capabilities.

Common strategies include:

• Blue-green deployment: Run two environments (blue = current, green = new) and switch traffic when green is stable. This strategy allows for fast rollbacks.
• Canary release: Gradually roll out changes to a small subset of users. This strategy is ideal for catching issues early without pissing off too many users.
• Rolling update: Replace instances one at a time with zero downtime.
• Recreate strategy: Shut down the old version completely, then start the new one. This leads to downtime, is riskier, and is not commonly used.

At a minimum, I recommend using rolling updates. If you are willing to invest more time and have a solid DevOps tool stack in place, I recommend taking it a step further with blue-green or canary deployments.

However, sometimes, the recreate strategy is a valid option as well. We had ML models that consumed larger GPUs, which were constrained. This is why we had to shut down the currently running model to free up the GPU, and then we could scale up the new version.

12. How do containers and orchestration work in DevOps?

Containers (e.g., Docker) package applications with their dependencies, ensuring they run the same everywhere.

Orchestration tools (like Kubernetes) handle:

• Scheduling containers on nodes
• Scaling apps based on load
• Self-healing applications (e.g., restarting failed pods)
• Networking, service discovery, and load balancing

Together, they bring consistency, portability, and automation to DevOps workflows.

I use them in my day-to-day work life, and they have significantly improved the way we work and how we develop and deploy applications.

You can learn more about Kubernetes in the Introduction to Kubernetes course.

If you want to dive deeper into the combination of Docker and Kubernetes, I recommend the "Containerization and Virtualization with Docker and Kubernetes" course.

13. How would you implement blue-green deployment?

Blue-green deployment means having two identical production environments (blue=current, green=new). The new application is first deployed to the green environment, where it is tested. Once you are satisfied, traffic is switched from the blue environment to the green environment.

Here’s a high-level approach:

1. Spin up a green environment identical to blue (prod).
2. Deploy the new version to green.
3. Run tests and automated checks.
4. If stable, switch load balancer traffic to the green environment.
5. Keep blue alive briefly for rollback.

This approach allows you to roll back within seconds, as you can simply adapt the load balancer to send traffic to the blue environment again.

14. What is a rolling update vs. a canary release?

A rolling update replaces app instances one by one, leading to no downtime. This option is used when you are confident about your release and want to make it instantly available to all users. 

With a canary release, your new version is only rolled out to a small subset of users (e.g., 5%). First, monitor and ensure everything works fine before expanding your rollout to more users. You can gradually increase it until you then roll it out to all users.

Canary allows you to test in production without affecting a significant number of your users.

15. How do you secure a CI/CD pipeline?

Security often gets overlooked, but it’s critical. 

Some best practices include:

• Use secrets management tools (e.g., Vault, AWS Secrets Manager)
• Run builds in isolated runners
• Validate inputs to avoid injection attacks
• Use signed containers and verify image provenance
• Integrate static and dynamic analysis tools (SAST/DAST)

Don’t hesitate to let a pipeline fail because of security concerns.

16. What is the difference between Docker and a virtual machine (VM)?

This question is quite common to assess your basic understanding of containers. 

Docker is fast, portable, and great for modern app workflows. VMs are still helpful for strict isolation and legacy systems.

If you want to prepare more for Docker-related interview questions, I recommend reading Top 26 Docker Interview Questions and Answers for 2025.

17. How does Kubernetes help in DevOps workflows?

Kubernetes automates the complex parts of running containers at scale:

• Auto-scaling based on CPU/memory
• Rolling updates and rollbacks
• Service discovery and load balancing
• Resource quotas and pod priorities

In DevOps, Kubernetes becomes the backbone for CI/CD, monitoring, and a self-healing infrastructure.

18. What are Helm charts and why use them?

Helm is the package manager for Kubernetes. Helm charts define, install, and upgrade K8s applications using templated YAML.

Their features include:

• Simplified deployments
• Support for versioning and reuse
• Help with environment consistency (dev/staging/prod)

If you’ve ever had to edit massive amounts of YAML files manually over and over again, Helm is the right choice for you.

I use it for all our services that we offer to customers, where they install the same set of YAML with different configs over and over again.

19. How do you handle secrets in DevOps?

Never hardcode secrets in code or config files.

Better alternatives:

• Using secret management tools (e.g., HashiCorp Vault, AWS Secrets Manager)
• Using sealed secrets or encrypted K8s secrets
• Restricting access via RBAC
• Rotating credentials regularly

We sometimes find customers storing sensitive information in their Git repositories, which can lead to serious security breaches. 

20. How do you troubleshoot failing builds?

This is an essential part of a DevOps engineer, as there will always be errors and failing builds.

A systematic approach would be to:

1. Check the logs of your builds first.
2. Try to reproduce the error locally by running the same steps as in the CI step.
3. Check if there are any environment differences (e.g., missing dependencies, environment variables, file paths).
4. Roll back recent changes step by step.

The most common issue in my history was missing environment variables that I had when building and testing locally, but that I had not added to my CI setup.

Advanced DevOps Interview Questions

These questions dive into architecture, scalability, security, and leadership. Expect to discuss trade-offs, design decisions, and how you approach DevOps at scale.

21. What is GitOps and how is it different from DevOps?

GitOps is a subset of DevOps that uses Git as the single source of truth for infrastructure and application delivery.

In GitOps, all changes to the application or infrastructure are made using pull requests to Git repositories. 

A GitOps operator (e.g., ArgoCD, Flux) monitors changes and synchronizes them to the cluster, maintaining a one-to-one relationship between the Git repository and the cluster.

So GitOps brings version control, auditability, and rollbacks to infrastructure workflows.

22. Explain policy-as-code with examples.

Policy-as-code means writing security, compliance, and operational policies as executable code, automated and enforced across your systems.

Examples include:

• Using OPA (Open Policy Agent) to block Kubernetes deployments that expose public services
• Enforce that all Terraform resources tag their owner and environment
• Preventing CI/CD pipelines from deploying to prod without approvals

I once used Gatekeeper (OPA’s K8s integration) to block unscanned container images, improving our security.

23. How would you design a scalable CI/CD system?

Designing a scalable CI/CD system is essential, and addressing design questions is popular, as the interviewer can see how you think and how you articulate your arguments.

A few key components of your design:

• Decoupled stages (build, test, deploy) with clear responsibilities
• Parallelization for speed (e.g., run tests across nodes)
• Dynamic runners on Kubernetes for elasticity
• Caching layers for dependencies and artifacts
• Secrets & access isolation between projects

For scale, consider using tools like Tekton or Gitlab CI with Kubernetes runners.

24. What’s your approach to incident response?

This is an important part, as the interviewer wants to see how you interact with customers, who are mostly pissed because something is broken. Resolving incidents is a crucial part of a DevOps engineer's day-to-day work.

Key principles include:

1. Stay calm
2. Diagnose fast (Network issue? App level? Infra?)
3. Communicate clearly 
4. Document everything
5. Run a post-mortem (identify root cause and learn)

Remember one important thing: Never blame people. 

Instead, focus on systems, processes, and improvements.

25. How do you manage observability across microservices?

Microservices play an essential role in today's DevOps landscape. Therefore, you should also be able to answer basic questions about them, as this demonstrates your general understanding of DevOps.

For observability, you need three components:

1. Logging: Centralized, structured, searchable (e.g., ELK, Loki)
2. Metrics: Prometheus-style time-series + dashboards (e.g., Grafana)
3. Tracing: Distributed tracing tools like Jaeger or OpenTelemetry

Put it all together using correlation IDs to track requests across services.

26. How would you optimize slow pipelines?

This happens quite often, and there are some typical steps you should follow:

• Measure first: Use pipeline metrics and step timings to optimize your workflow.
• Cache smartly: Dependencies, Docker layers, test results.
• Split tests: Parallelize test suites by type or module.
• Use pre-commit hooks: Catch errors early.
• Skip unnecessary steps: Use conditional logic (e.g., only build Docker if code changed in respective code location).

Sometimes, adding faster hardware alone doesn’t solve the problem, but implementing your pipelines more efficiently does.

27. How do you approach compliance in DevOps workflows?

Compliance should be proactively integrated from the beginning of the software development cycle. 

Steps to follow:

• Version control everything (code, infra, policies)
• Audit trails through Git, CI/CD logs, and monitoring tools
• Automated compliance checks (e.g., CIS benchmarks, security scanners)
• Access control via RBAC and least-privilege
• Secrets management with rotation policies

28. Can you explain service meshes in the context of DevOps?

A service mesh (e.g., Istio, Linkerd) manages service-to-service communication with features like:

• Traffic control (e.g., retries, timeouts, routing)
• Security (mTLS between services)
• Observability (per-service telemetry)

Instead of embedding this logic in each app, the mesh handles it through sidecar proxies.

29. How do you architect zero-downtime deployments?

Zero-downtime deployments are essential, as they enable you to roll out changes without disrupting the user experience.

Strategies for a zero-downtime deployment include:

• Blue-green or canary deployments to shift traffic safely
• Database migrations handled with backward compatibility
• Load balancer health checks before adding new instances
• Graceful shutdowns so in-flight requests complete

30. What is chaos engineering, and have you used it?

Chaos engineering involves intentionally injecting failures into your systems to test resilience.

Example tools: 

• Gremlin
• Chaos Monkey
• Litmus

Scenarios simulated to test your system's stability include:

• Killing of random pods
• Simulate network latency
• Drop DB connections

Chaos engineering is also heavily used by Netflix. 

It helps to simulate different scenarios and see how your system behaves.

Behavioral and Scenario-Based DevOps Interview Questions

These questions assess your ability to respond effectively in real-world scenarios. The interviewer wants to see how you handle real-world scenarios and check if you have merely memorized concepts or if you truly understand DevOps. 

Expect questions that dig into your experience, judgment, and ability to work under pressure or collaborate across teams.

31. Tell me about a time you fixed a broken deployment.

Here’s your chance to walk through a real issue. 

Interviewers want:

• The situation: What broke?
• The impact: How bad was it?
• Your approach: What steps did you take?
• The lesson: What would you do differently next time?

An example could be: 

I once encountered a failed deployment that silently overwrote a critical configuration file in production. Our application was down for 1 hour until I manually rolled it back to an older version. A total of 30 users were blocked for 1 hour. I diagnosed the issue through Git diffs, added a validation step to our CI, and implemented rollback support. The problem never happened again.

32. Describe a conflict with a developer. How did you handle it?

As DevOps sits at the intersection of multiple teams, conflicts happen. The interviewer here wants to see that you have some emotional intelligence.

Frame it like:

• The root of the conflict (e.g., rushed release, unclear ownership)
• How you approached the conversation (empathy + data)
• The resolution (e.g., updated process, clarified responsibilities)

Just be honest and avoid finger-pointing at the developer. Always point out how you tried to focus on a good collaboration.

And always keep this in mind: Developers and DevOps engineers often have different priorities. Developers want to ship features fast, while you might be focused on security, stability, and long-term maintainability. That tension is normal, and understanding their perspective can help you handle conflicts more constructively.

33. How do you balance speed vs. stability in release cycles?

This is a never-ending tension of DevOps.

You can focus on: 

• Feature flags: Enable or disable features in production.
• Deployment Strategy: Canary or blue-green deployments
• Agile methods: Use agile methods to iterate fast.
• Monitoring: Strong observability, allowing you to react quickly if something breaks.
• Communication: Establish an open feedback culture and continuous learning from mistakes.
• Automation: Automate as much as possible, and where it makes sense to achieve faster and more stable results.

You don’t have to decide between speed and safety, as you can design your DevOps system to improve both.

34. Can you walk me through your process after a production outage?

Systems will occasionally fail. Therefore, being able to return them to normal as quickly as possible is crucial. 

Therefore, you can follow the steps below to get your systems back to normal: 

1. Acknowledge and contain: Alert the relevant parties and communicate promptly.
2. Diagnose quickly: Check the logs, metrics, and dashboards to identify the issue.
3. Fix the issue: Apply a patch, roll back your application, or reconfigure to bring it back online.
4. Post-mortem: Document the time it took to find the issue and fix it, the root cause, and action items to avoid such problems from happening in the future.

If you’ve never led an incident call, practice it. It’s a skill that senior engineers are expected to have.

35. Can you describe your experience working with cross-functional teams?

As a DevOps engineer, you will work with a lot of different cross-functional teams. Good collaboration is therefore essential, and interviewers will take a detailed look at your collaboration skills.

You could talk about:

• How you bridged the gaps between dev and ops
• How you helped data scientists adopt CI/CD
• How do you resolve an issue between security and product teams (they fight a lot, trust me)

If you’ve ever created documentation or internal tooling to help others move more efficiently, mention that too, as it demonstrates initiative.

36. Have you ever automated yourself out of a task?

This one’s my favorite.

Let’s be real: one of the core goals of DevOps is to automate repetitive workflows. But when you automate everything, what’s left to do? It’s not uncommon for DevOps engineers to automate themselves out of their tasks.

Still, automation is the point. You want to demonstrate that it’s integrated into your thought process. Manual work should feel like a red flag, something to eliminate, not tolerate.

Example:

“I used to deploy our staging environment every Monday manually. I wrote a script to handle it with a single command, then wrapped it in a GitHub Action so the team could trigger it anytime.”

The goal is to prove that you think like a DevOps engineer: reduce friction, remove bottlenecks, and free humans to solve more complex problems.

37. How do you onboard junior engineers into DevOps practices?

This question tests your leadership and team collaboration skills. 

Some ideas for onboarding junior engineers:

• Creating a “Getting Started” documentation page with all relevant information and links
• Pair programming or co-debugging sessions
• Documenting runbooks and workflows
• Creating sandbox environments for safe experimentation
• Hosting internal workshops on Docker/Kubernetes basics

The difference between a good and a great engineer lies in teaching skills.

38. Describe a DevOps project you're proud of.

This is your moment to talk about a creative success of yours. Take something where you’ve created something remarkable and where you can talk a lot about.

You can talk about:

• The problem you solved
• The impact (e.g., improved release speed, reduced MTTR)
• The tools and architecture you used
• What you learned

I was once part of a team that built a small MLOps platform. This platform was rolled out as a Helm chart. Initially, we rolled it out to the different namespaces in Kubernetes using a bash script, where we had to check whether the Helm chart was being updated successfully manually, and a release would take nearly a day. I then implemented GitOps with ArgoCD to roll out our platform chart to all namespaces with just a simple click, reducing the release time to a few minutes.

39. What would you improve in your current DevOps pipeline?

This question demonstrates your self-critical and forward-thinking nature.

Avoid saying “nothing”. Instead, you could:

• Mention a bottleneck (e.g., slow test suite)
• A tooling upgrade you’re planning (e.g., moving from Jenkins to Tekton)
• An observability gap you’re fixing
• Or even a cultural tweak (e.g., better documentation)

You’re being evaluated not just for what you know, but how you think.

40. Tell me about a time you introduced a new tool or practice. How did you get buy-in?

As a DevOps engineer, you enhance workflows and automate tasks. This means you change the status quo, which often leads to people being hesitant, as they don’t want change.

You need to show that you can handle such situations calmly and professionally. 

You can include in your answer:

• Why did you push for the tool/practice?
• How did you pitch it to the team?
• How did you deal with resistance?
• What was the outcome?

For example: “I proposed adopting Terraform to replace manual AWS provisioning. Some teammates were hesitant, so I demoed a repeatable workflow, added documentation, and helped with onboarding.”

Interview Preparation Strategies

DevOps interviews test more than just technical know-how. They test your ability to solve problems, collaborate, and think critically under pressure. 

The following sections show practical ways to sharpen your skills and stand out.

Technical deep dives

Only having a surface-level understanding of systems isn’t enough at the mid or senior level. You need to understand how systems function internally.

You should go deep into:

• Kubernetes: Learn how to deploy, scale, and troubleshoot clusters. Focus on networking, persistent volumes, and Helm.
• Terraform: Understand state management, modules, and how to use remote backends.
• CI/CD patterns: Learn how to decouple stages, cache builds, and secure pipelines.

If you’re building skills from scratch, start with DataCamp’s Introduction to Kubernetes and DevOps Concepts.

I also always recommend doing hands-on projects, as they are where you’ll learn the most. You could build an app, containerize it, and deploy it using Terraform and Kubernetes with automated pipelines.

Resource recommendations

You don’t need to rely on learning on your own. Numerous online resources are available to streamline your learning journey. 

Some good resources include:

• Mock interviews: Try services like Pramp, Interviewing.io, or do peer interviews with friends or coworkers.
• Books:
• The Phoenix Project (for culture and a story on how DevOps helped a business to improve)
• Site Reliability Engineering by Google (for depth)
• Terraform Up & Running by Yevgeniy Brikman (for IaC mastery)
• Cheat sheets: Print Kubernetes CLI references, Git workflows, or Linux commands you use daily.
• Communities:
• DevOps Discord groups
• r/devops on Reddit
• Dev.to, Medium, and DataCamp blogs
• Courses:
• DevOps Concepts: Foundation for delivery pipelines and system reliability.
• Containerization and Virtualization with Docker and Kubernetes: Essential for Deployment-Focused Questions
• CI/CD for Machine Learning and Fully Automated MLOps: If you’re in a hybrid ML+DevOps role.
• Other interview preparation articles:
• Sometimes, it makes sense to delve deeper into other interview preparation articles for related fields. Examples include:
• 31 Top Azure DevOps Interview Questions For All Levels
• Top 24 AWS DevOps Interview Questions
• Top 34 Cloud Engineer Interview Questions and Answers in 2025
• Top 30 Cloud Computing Interview Questions and Answers (2025)
• Top 30 MLOps Interview Questions and Answers for 2025

If you want to stand out, you need to go beyond simply memorizing things. Build something, break it on purpose, and improve.

Preparing for scenario-based and real-world questions

This is where most people stumble. It’s one thing to explain what CI/CD is. It’s another to talk through a 2 AM production outage calmly, you handled (or would handle).

Here’s how to prepare:

• Revisit old incidents: What went wrong? What fixed it? What would you change now?
• Do post-mortem reviews: Also for your personal projects. Practice writing one out in STAR format.
• Think like a stakeholder: If you had to explain a failed release to a product owner, how would you do it clearly and without blame?
• Practice trade-off thinking: Blue-green or canary? Terraform or Pulumi? Jenkins or GitHub Actions? What are the trade-offs?

The best prep is experience, but simulated scenarios come close. Reflect on your stories, and if you don’t have many, borrow from open-source projects, case studies, or your labs.

Conclusion

DevOps is more than a fancy job title. It’s a mindset. 

It’s not about memorizing commands or listing tools on your resume. It’s about showing how you think, how you collaborate, and how you build systems that don’t fall apart when things get real.

In this guide, we covered foundational questions to advanced architecture, from tool-specific knowledge to behavioral insights. If you’ve made it this far, you’re already ahead of the curve because most candidates don’t prepare with this level of structure.

But don’t stop here:

• Build something.
• Break something.
• Write about it.
• Share it with others.
• Reflect on what went wrong—and how you’d fix it next time.

DevOps is more about doing, rather than just theory. So remember that when you are in the interview. Always explain your thought process and focus more on your own experiences. 

If you’re looking for some hands-on tutorials, be sure to check out our Azure DevOps Tutorial. 

I wish you all the best for your interviews and hope this guide is of help to you.