1500 interview questions that mirror what real DevOps and Cloud interviews actually ask, each with a clear, correct answer, a working code example, and the follow-up questions that come next. Covering Linux, Kubernetes, Docker, AWS, Terraform, ArgoCD, CI/CD and more, from fresher fundamentals to senior solution-architect design questions.
It's rarely about ability. It's about not being ready for the way the questions get asked.
Linux, K8s, Docker, AWS, Terraform, CI/CD, networking… you never know where to focus or when you've covered "enough".
"A pod is in CrashLoopBackOff, walk me through it." Theory alone won't save you when they want your real thinking.
You answer one question and they immediately dig deeper. Most prep material stops at the first answer.
No fluff. Each section is structured so you can drill one topic at a time until it's second nature.
Processes, permissions, storage & real troubleshooting.
Pods, deployments, services, scaling & debugging.
Images, Dockerfiles, networking & runtime.
IAM, EC2, VPC, S3 & core DevOps services.
OSI, TCP/IP, DNS, HTTP & connectivity debugging.
Scripts, loops & safe shell habits.
APIs, boto3, parsing & CLI tools.
State, modules & safe changes.
Pipelines, Jenkins & GitHub Actions.
Sync, App-of-Apps, ApplicationSets & GitOps at scale.
Multi-tool incidents that test how you think.
"Here's what broke, walk me through fixing it."
Design, walkthroughs & multi-cluster scenarios (senior).
The deeper questions interviewers ask next.
Phrased the way an interviewer actually asks it. Direct, and often as an open scenario you have to reason through out loud.
A concise, technically-correct explanation pitched at the right depth for 0-5 year roles, written to build real understanding, not rote memorisation.
Every answer includes a real command, manifest or config you can actually run, turning abstract theory into something concrete you'll remember.
Each entry lists the deeper follow-ups that come next, so you're ready for the full back-and-forth, not just the opening question.
This is exactly how all 1500 questions are formatted.
CrashLoopBackOff. The pod logs show exec format error. What causes this and how do you fix it?exec format error means the binary inside the container image cannot be executed on the current CPU architecture. This happens when a cluster upgrade changes node architecture (e.g., from AMD64 to ARM64 nodes are added and pods are scheduled there), or when a multi-arch image is missing a specific platform variant. First, check the node architecture on which the pod is scheduled: kubectl get node -o wide shows the OS/Arch column. Then inspect the container image. Use docker manifest inspect or crane to list available platforms. If the image only supports linux/amd64 but the node is linux/arm64, the pod will fail. Fix by either building a multi-arch image, using node affinity to pin pods to AMD64 nodes, or using node labels with kubernetes.io/arch.# Check pod error
kubectl logs crash-pod-xyz -n prod
# standard_init_linux.go:228: exec user process caused: exec format error
# Check node architecture
kubectl get nodes -o wide
# NAME OS-IMAGE KERNEL ARCH
# node-arm-1 Ubuntu 5.x arm64 <-- ARM node
# node-amd-1 Ubuntu 5.x amd64
# Check where the pod is scheduled
kubectl get pod crash-pod-xyz -n prod -o wide
# NODE: node-arm-1 <-- scheduled on ARM!
# Pin the deployment to AMD64 nodes via node affinity
kubectl patch deployment myapp -n prod --type='json' -p='[
{"op":"add","path":"/spec/template/spec/affinity","value":{
"nodeAffinity":{"requiredDuringSchedulingIgnoredDuringExecution":{
"nodeSelectorTerms":[{"matchExpressions":[{
"key":"kubernetes.io/arch","operator":"In","values":["amd64"]
}]}]
}}
}}
]'
kubectl rollout status deployment myapp -n prod
# deployment "myapp" successfully rolled out
docker buildx?RuntimeClass in Kubernetes and when would you use it?Breaking into DevOps/Cloud roles.
Switching into DevOps/SRE.
Aiming for a better role or hike.
Interview this week? Drill fast.
Scattered, last-minute prep is exactly why capable engineers still get rejected. This fixes that.
Stop stitching together random videos, blog posts and outdated PDFs. 1500 questions across every topic. Consistent, organised, and ready to drill.
Including the scenario and troubleshooting questions that decide most interviews, the part theory-only prep never prepares you for.
Most material stops at the first answer. The built-in follow-ups get you ready for the deeper questions that actually separate candidates.
Skip months of hunting and second-guessing what to study. One structured resource, for less than the cost of an hour of tutoring.
Fair question. AI can answer a question you give it. It can't tell you which questions interviewers actually ask. That's exactly what we curated.
The whole point: study what actually gets asked. We did the hard part of curating 1,500 real interview questions, so you don't have to guess.
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