Question 1
Difficulty: medium
Tell me about your experience with Linux and how you would troubleshoot a server that is running slowly.
Sample answer
I’ve worked mostly in Linux-based environments, so I’m comfortable navigating the shell, checking logs, and using basic system tools to understand what’s happening. If a server is running slowly, I start by narrowing down whether the issue is CPU, memory, disk, or network related. I’d use commands like top or htop to look at process usage, df and du to check disk space, free to review memory pressure, and iostat or vmstat if I suspect I/O bottlenecks. I also check application and system logs for errors or repeated warnings. If needed, I look at recent deployments or configuration changes to see whether the slowdown started after a change. My approach is to gather facts first, avoid guesswork, and then make the smallest safe change possible. If I can’t solve it quickly, I’d escalate with clear notes on what I’ve already checked.
Question 2
Difficulty: easy
How would you explain CI/CD to someone on a product team who is not technical?
Sample answer
I’d explain CI/CD as a way to make software changes safer and faster. Continuous Integration means developers combine their changes often, so problems are caught early instead of piling up at the end. Continuous Delivery or Deployment means those changes can move through testing and into production in a more reliable, repeatable way. For a product team, I’d compare it to an organized assembly line with quality checks built in at each step. The goal is not to ship recklessly; it’s to reduce manual work, lower the chance of mistakes, and give the team confidence when releasing features. I’d also mention that CI/CD helps the team respond faster to feedback because small changes are easier to test and roll back. In practice, that means less waiting, fewer surprise release issues, and more predictable delivery of product improvements.
Question 3
Difficulty: medium
Describe a time you found and fixed a deployment issue. What was your process?
Sample answer
In a previous project, a deployment to a staging environment kept failing even though the code itself had already passed local testing. I started by reviewing the pipeline logs instead of guessing, and I noticed the failure happened during a configuration step rather than during the build. The issue turned out to be an environment variable that was missing in staging but present in development. I confirmed that by comparing the pipeline settings and the application startup logs. Once I identified the gap, I updated the environment configuration, reran the deployment, and then added a checklist item so the same issue would not happen again. What I learned from that situation is that deployment failures are often caused by environment drift, not just code problems. I like working this way because it keeps the process calm and structured: check the logs, isolate the failure point, verify the difference, fix the root cause, and document the lesson.
Question 4
Difficulty: medium
What steps would you take to secure a basic cloud server you were asked to manage?
Sample answer
I’d start with the basics and make sure the server is not exposed more than necessary. First, I would review network access rules so only required ports are open, and I’d verify that SSH access is restricted to trusted users or IP ranges if possible. Then I’d check that the system is fully updated with security patches and that default accounts or weak passwords are not in use. I’d also confirm that key-based authentication is enabled, root login is limited or disabled, and least-privilege permissions are applied to users and services. After that, I’d look at logging and monitoring so suspicious activity can be detected early. If the environment supports it, I’d recommend enabling automated backups and testing recovery. For me, security is not a one-time task. It’s about reducing risk in layers and making the server easier to monitor, maintain, and recover if something goes wrong.
Question 5
Difficulty: hard
How do you handle a situation where a production incident is happening and you are not sure what the cause is?
Sample answer
If a production incident is happening and I’m not sure of the cause, my first priority is to stay calm and help stabilize the system. I would quickly gather the symptoms: what is failing, who is affected, when it started, and whether anything changed recently. Then I would check dashboards, logs, and alerts to identify whether the issue is isolated or widespread. If there is an obvious safe action, like restarting a stuck service or rolling back a recent deployment, I’d coordinate that with the team rather than acting alone. I also believe in clear communication during incidents, so I would keep stakeholders updated with what we know, what we’re testing, and what the next step is. Even if I’m not the person with the final answer, I can still be useful by organizing information, documenting actions, and helping the team move from uncertainty to a focused investigation.
Question 6
Difficulty: medium
What is Infrastructure as Code, and why is it useful for a Junior DevOps Engineer?
Sample answer
Infrastructure as Code, or IaC, is the practice of defining infrastructure in files instead of setting it up manually through a console or clicking around in a portal. Tools like Terraform or CloudFormation let teams describe servers, networks, security settings, and related resources in a repeatable way. For a Junior DevOps Engineer, this is useful because it reduces human error and makes environments easier to understand and recreate. If a setup is in code, you can review it, test it, version it, and apply the same standards across development, staging, and production. That also makes collaboration easier because the whole team can see what changed and why. I like IaC because it creates consistency and accountability. It’s much easier to troubleshoot a system when the infrastructure is documented in code rather than hidden in someone’s memory or in a manual process that no one can fully reproduce.
Question 7
Difficulty: easy
Give an example of a time you automated a repetitive task. What was the result?
Sample answer
I once worked on a task where logs had to be collected from several machines every week for a support review. The process was manual and took a long time because someone had to log into each server, copy the files, and organize them by date. I wrote a simple shell script to gather the logs automatically, compress them, and store them in a central location with consistent naming. I also added basic error handling so we could tell if a server was unreachable or if a file was missing. The result was that the process went from taking well over an hour to a few minutes, and it became much less error-prone. More importantly, the support team got the information faster, which helped them respond to issues sooner. That experience showed me that automation does not have to be complex to be valuable. If a task is repeated often, even a small automation can save a lot of time and reduce mistakes.
Question 8
Difficulty: medium
How would you debug a failed pipeline in Jenkins, GitHub Actions, or a similar CI tool?
Sample answer
I’d debug a failed pipeline by first identifying the exact stage where it failed and reading the logs carefully rather than focusing only on the final error message. The goal is to find whether the failure happened during code checkout, dependency installation, tests, build, or deployment. Once I know the stage, I’d check whether the problem is related to the code, the environment, or the pipeline configuration itself. For example, if dependencies are failing to install, I’d look at package versions, network access, or cache issues. If tests fail, I’d try to reproduce the problem locally or in a similar environment. I also pay attention to recent changes in the pipeline file because a small syntax or permission issue can break everything. My approach is to isolate variables one by one. I want to understand not just how to fix the run, but why the pipeline broke so the team can prevent the same issue later.
Question 9
Difficulty: medium
How do you prioritize your work when you have several alerts, tickets, and requests at once?
Sample answer
When I have multiple alerts and requests at the same time, I prioritize based on user impact, urgency, and risk. If something is affecting production or customer-facing services, that comes first because it has the biggest business impact. Next, I look at whether the issue is getting worse or could become worse quickly, such as a disk filling up or a service repeatedly crashing. After that, I handle lower-priority tickets that are important but not immediately critical. I also make sure I’m communicating clearly with the team so people know what I’m working on and what they should expect. If needed, I’ll ask for help or escalate rather than trying to do everything alone. I’ve learned that good prioritization is not just about speed; it’s about making the right decision with limited time. Staying organized and transparent helps me avoid missing something important while still moving work forward.
Question 10
Difficulty: easy
Why do you want to work in DevOps, and what do you think a Junior DevOps Engineer should focus on first?
Sample answer
I want to work in DevOps because I like the combination of systems thinking, automation, and collaboration. It’s a role where small improvements can have a real impact on how teams deliver software and respond to problems. I also enjoy being close to both development and operations because it gives me a broader view of how software behaves in real environments. For a Junior DevOps Engineer, I think the first focus should be on fundamentals: Linux basics, networking concepts, version control, scripting, and understanding how applications move from code to production. It’s also important to learn how to read logs, interpret alerts, and communicate well with developers and support teams. I would not try to solve everything with tools alone. The best early habit is understanding the system before automating it. If you understand the workflow and the failure points, then automation becomes much more effective and much safer.
