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DevOps Interview & Career Prep

403 concept- and troubleshooting-focused questions across 8 tracks: Linux, networking, CI/CD, IaC, cloud, observability, containers, and Kubernetes — built for interviews and career development.

Ryno Tools DevOps covers 8 tracks and 403 questions: Core Concepts & Culture (DevOps principles, DORA metrics, SRE, Agile/Lean), Containers & Kubernetes (Docker, pods, services, storage), Linux Fundamentals (processes, filesystems, permissions, shell), Networking for DevOps (DNS, TCP/IP, TLS, load balancers, HTTP), CI/CD Pipelines (GitHub Actions, Jenkins, GitLab CI, deployment strategies), Infrastructure as Code (Terraform, Ansible, Pulumi), Cloud Platforms (AWS, GCP, Azure, architecture patterns), and Monitoring & Observability (metrics, logs, traces, alerting, SLI/SLO/SLA). All questions are interview-style and concept-focused, not syntax recall.

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Practice Tracks

Core Concepts & Culture 50 questions covering DevOps culture, CI/CD principles, SRE and reliability engineering (error budgets, SLI/SLO/SLA), Agile and Lean fundamentals, and DORA metrics — sourced from Google SRE Book, Accelerate, Team Topologies, and the Agile Manifesto.
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Containers & Kubernetes 53 questions covering container fundamentals, image layers and registries, Kubernetes pods and workloads, services and networking, storage (PV/PVC), and troubleshooting (CrashLoopBackOff, OOMKilled, ImagePullBackOff) — sourced from kubernetes.io and docs.docker.com.
53 questions Practice →
Linux Fundamentals 50 questions covering process management, filesystems and storage, users and permissions, networking basics, and shell and text processing — sourced from Linux man pages, kernel.org, Red Hat docs, and the Filesystem Hierarchy Standard.
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Networking for DevOps 50 questions covering DNS and name resolution, TCP/IP and routing, TLS and certificate management, load balancers and proxies, and HTTP and application protocols — sourced from RFCs, NGINX docs, Cloudflare Learning Center, and MDN.
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CI/CD Pipelines 50 questions covering pipeline fundamentals, GitHub Actions, Jenkins and GitLab CI, testing and quality gates, and deployment strategies (blue/green, canary, rolling, feature flags) — sourced from GitHub Actions docs, GitLab CI docs, Jenkins docs, and Humble & Farley's Continuous Delivery.
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Infrastructure as Code 50 questions covering Terraform core concepts and state management, Ansible fundamentals and advanced patterns, and IaC principles including Pulumi, GitOps, immutable infrastructure, and policy-as-code — sourced from Terraform docs, Ansible docs, Pulumi docs, and Kief Morris's Infrastructure as Code.
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Cloud Platforms 50 questions covering cloud fundamentals, AWS core services (EC2, S3, IAM, RDS/DynamoDB), GCP and Azure patterns, networking and security (VPC, WAF, KMS), and architecture patterns (HA, DR, RPO/RTO, serverless) — sourced from AWS, GCP, and Azure Well-Architected Frameworks.
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Monitoring & Observability 50 questions covering metrics and dashboards (Prometheus, Grafana), logging (structured logs, ELK, Loki), distributed tracing (OpenTelemetry, Jaeger), alerting and on-call practices, and reliability concepts (SLI/SLO/SLA, error budgets, four golden signals) — sourced from OpenTelemetry spec, Google SRE Book, and Prometheus docs.
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About DevOps Exam Prep on Ryno Tools

The Ryno Tools DevOps quiz is designed for people pursuing a DevOps or platform engineering career who need fluency in core concepts — not code syntax. Every question is framed as a concept or troubleshooting scenario of the kind you encounter in interviews and on the job: 'why does X happen', 'what would you check if Y', 'what does this metric tell you'. All 403 questions across 8 tracks are sourced from authoritative references and cite their source in the explanation.

The foundational tracks build the substrate for everything else. Linux Fundamentals covers process management, filesystem layout (FHS), user permissions, networking commands, and shell skills — the knowledge assumed by every other DevOps tool. Networking for DevOps covers DNS, TCP/IP, TLS and certificate management, load balancer concepts, and HTTP semantics — the plumbing behind every distributed system.

The automation tracks apply that foundation. CI/CD Pipelines covers pipeline-as-code, GitHub Actions, Jenkins and GitLab CI, testing quality gates, and deployment strategies (blue/green, canary, rolling, feature flags). Infrastructure as Code covers Terraform (state, modules, drift detection), Ansible (idempotency, roles, vault), and IaC principles including GitOps and policy-as-code (Pulumi, OPA/Sentinel).

Cloud Platforms and Monitoring & Observability close the loop. Cloud covers IaaS/PaaS/SaaS, the shared responsibility model, AWS core services (EC2, S3, IAM, RDS/DynamoDB), GCP and Azure patterns, VPC networking, and architecture decisions (HA, fault tolerance, RPO/RTO, serverless trade-offs). Observability covers the three pillars (metrics, logs, traces), Prometheus data model and PromQL, the ELK stack and Loki, OpenTelemetry distributed tracing, SLO-based alerting and burn rate, and the four golden signals from the Google SRE Book.

Core Concepts & Culture and Containers & Kubernetes round out the full picture — DevOps organizational principles (DORA metrics, blameless postmortems, Team Topologies), SRE practices (error budgets, SLI/SLO/SLA), and the container and Kubernetes fundamentals that underlie modern cloud-native deployments.

Frequently Asked Questions

What is DevOps and why does it matter for interviews?

DevOps is a set of cultural practices, organizational patterns, and technical capabilities that improve an organization's ability to deliver software reliably and rapidly. Interviewers probe DevOps knowledge to assess whether a candidate understands how modern software teams operate — not just individual tool syntax. Core topics include the three-way handshake between development, operations, and security; measurement via DORA metrics (deployment frequency, lead time for changes, change failure rate, time to restore service); and cultural practices such as blameless postmortems and shared ownership.

What is an SRE error budget?

An error budget is the allowable amount of unreliability derived from an SLO (Service Level Objective). If your SLO is 99.9% availability, your error budget is 0.1% downtime — approximately 8.7 hours per year. The error budget is consumed by outages, degradations, and planned maintenance. When the budget is depleted, new feature releases are halted until reliability is restored, creating a shared incentive between product and reliability teams. The concept originates from the Google SRE book (Beyer et al.).

What are the four DORA metrics?

The four DORA metrics (from Forsgren, Humble, and Kim's Accelerate research) measure software delivery performance: (1) Deployment Frequency — how often code is deployed to production; (2) Lead Time for Changes — time from code commit to production deployment; (3) Change Failure Rate — percentage of deployments that cause a production incident; (4) Time to Restore Service — how long it takes to recover from a production failure. Elite performers (top quartile) deploy multiple times per day, have lead times under one hour, change failure rates under 5%, and restore service in under one hour.

What is the difference between a container and a VM?

A virtual machine (VM) includes a full operating system kernel, which is managed by a hypervisor. A container shares the host OS kernel and isolates processes using Linux namespaces (PID, network, mount, UTS, IPC) and cgroups (resource limits). Containers start in milliseconds, have megabyte-level overhead, and are portable across any host running the same container runtime. VMs provide stronger isolation but have gigabyte-level overhead and seconds-to-minutes startup times. In practice, containers and VMs are complementary: containers run inside VMs in most cloud environments.

What Linux topics should I know for a DevOps interview?

DevOps interviewers commonly test: process management (how to identify and kill processes, what systemd does, what a zombie process is), file permissions (chmod octal notation, setuid/setgid, umask), filesystem layout (what lives in /var, /tmp, /proc, and why), networking basics (how to check open ports with ss, what /etc/resolv.conf controls, how iptables chains work), and shell fundamentals (exit codes, pipe vs redirection, cron syntax). You don't need to memorize every flag, but you should be able to explain the concepts and describe how you'd diagnose common problems.

What is the difference between blue/green and canary deployments?

Blue/green deployment maintains two identical environments (blue = current live, green = new version). Traffic switches entirely from blue to green at cutover. Rollback is instant — switch traffic back to blue. Canary deployment gradually shifts a small percentage of traffic to the new version (e.g., 1% → 5% → 25% → 100%), monitoring error rates and latency at each step before proceeding. Blue/green is simpler and provides faster rollback; canary reduces blast radius by exposing a small fraction of users to the new version first. Canary is preferred when changes are higher risk or when you need real traffic validation.

What is Infrastructure as Code (IaC) and why does it matter?

Infrastructure as Code means managing and provisioning infrastructure (servers, networks, databases, security groups) through machine-readable configuration files rather than manual processes or interactive UIs. The key benefits are repeatability (the same config produces the same infrastructure every time), version control (infra changes go through code review, can be diffed and reverted), and auditability (the git history is the change log). Terraform (declarative, HCL) and Ansible (procedural for configuration management) are the most common IaC tools. Pulumi uses general-purpose programming languages instead of a DSL. IaC is a prerequisite for reliable CI/CD and GitOps workflows.

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