Huru

Technical and Coding Interviews

Questions on specific technologies, from networking to Kubernetes, and how the technical rounds themselves work: live coding, take-home assignments, system design and AI-assisted coding interviews.

23 articles

The Huru mascot conducting with a baton at a control console while colorful container blocks are grouped on floating platforms, with one container being replaced by a fresh one

Kubernetes Interview Questions and Answers (2026): Basics to Experienced, With Troubleshooting Scenarios

Kubernetes interview questions with answers, from basics to experienced: cluster architecture (control plane and nodes), Pods, Deployments and rolling updates, StatefulSets, DaemonSets and Jobs, Services and Ingress, ConfigMaps and Secrets, storage, probes, resource requests and limits, autoscaling, scheduling, RBAC and network policies, Helm and GitOps, troubleshooting scenarios (CrashLoopBackOff, Pending, ImagePullBackOff, OOMKilled) with kubectl commands, and experienced-level questions.

6 min read

The Huru mascot typing on a keyboard in front of a dark terminal window with glowing green and amber lines, with three floating command boxes connected by pipes above the screen and a server rack behind

Unix and Linux Interview Questions and Answers (2026): Commands, Shell Scripting and Scenarios

Unix and Linux interview questions with answers: Unix vs Linux, the kernel and shell, the file system, permissions (chmod, umask, setuid, sticky bit), processes and signals, essential commands (find, grep, sed, awk, xargs), pipes and redirection, hard vs soft links, shell scripting, cron, networking commands, one-liner exercises, and troubleshooting scenarios such as a full disk or high CPU.

7 min read

The Huru mascot holding a tablet and pointing at a central server connected by glowing lines to six smaller servers, each holding a colored block split from a large floating data cube

Hadoop Interview Questions and Answers (2026): HDFS, YARN and MapReduce

Hadoop interview questions with short answers from the Apache Hadoop documentation: HDFS architecture (NameNode, DataNodes, blocks, replication and rack-aware placement, heartbeats, safemode, FsImage and EditLog), YARN (ResourceManager, NodeManager, ApplicationMaster), MapReduce (shuffle, sort, combiners), the small files problem, the ecosystem, and scenario questions for developers and administrators.

6 min read