Each question comes with a likelihood badge, difficulty level, model answer, why interviewers ask it, and common mistakes to avoid.
Tests real on-call experience with K8s node failures
Start with kubectl get nodes to confirm which nodes are NotReady, then kubectl describe node <name> to check conditions and events. Check kubelet status on the node — systemctl status kubelet. Review node resource pressure (CPU/memory/disk). Check cloud provider console for underlying instance health. If node group auto-scaling, verify ASG health...
State locking is a common production gap for junior engineers
Use remote state with a backend that supports locking — S3 + DynamoDB for AWS, GCS for GCP. When one apply runs, it acquires the lock. The second engineer sees a lock error with the lock ID...
Every question is tagged by how likely it is to appear. Focus your prep time on what actually matters.
Core check — asked in nearly every interview
Depth probe — expect at least half of these
Differentiator — separates senior candidates
InterviewDrill has built company profiles based on known interview patterns, Glassdoor reports, and role-specific hiring signals. Each company has a curated "interview style" — for example, Amazon interviews weave in Leadership Principles, while Datadog focuses on observability-first thinking and SLO design.
Yes. There is an optional "Add Job Description" field. When you paste a JD, the AI reads the specific tech stack, seniority signals, and requirements listed — and biases your questions heavily towards what that exact role needs.
These are the core questions that interviewers in that track ask in almost every panel. If you can answer these confidently, you will pass the technical screen. They are ranked by frequency of appearance across real interview reports.
Each question comes with a complete, ideal answer written by the AI — the same level of detail a senior engineer who scored 10/10 would give. You can reveal it with one click after attempting to answer yourself.
Yes. Each generation produces a fresh set of questions. The AI randomises which specific questions to include within the topic distribution, so you can generate multiple times and get different coverage each time.
AWS, Azure, Kubernetes, GCP, Terraform, CI/CD, Docker, Linux, System Design, Behavioural, and Python for DevOps — 11 tracks with role-specific question sets.
Yes. Each question has a checkbox. As you study and feel confident, tick it off. A prep progress bar tracks how ready you are. When ready, one click starts a live AI interview session on the same track and company.
Single Session: 3 generations × 15 questions. System Design: 8 × 20. Session Pack: 20 × 25. All Access: Unlimited × 30 questions per generation.
Predicted Questions requires a paid plan. You can explore the homepage JD Analyzer for free, and sign up to see the question configuration interface before purchasing.
Absolutely — that is the recommended workflow. Use Predicted Questions to study what will come up, then jump into a live AI Mock Interview session to practice answering under real pressure.
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