Junior DevOps Engineer Interview Questions: Complete Guide

Milad Bonakdar
Author
Master essential DevOps fundamentals with comprehensive interview questions covering Linux, Git, CI/CD, Docker, cloud basics, and Infrastructure as Code for junior DevOps engineers.
Introduction
DevOps engineering bridges development and operations, focusing on automation, collaboration, and continuous improvement. As a junior DevOps engineer, you'll need foundational knowledge of Linux, version control, CI/CD pipelines, containerization, and cloud platforms.
This guide covers essential interview questions for junior DevOps engineers, organized by topic to help you prepare effectively. Each question includes detailed answers, practical examples, and hands-on code snippets.
Linux Fundamentals
1. Explain common Linux commands you use daily as a DevOps engineer.
Answer: Essential Linux commands for DevOps work:
Rarity: Very Common
Difficulty: Easy
2. How do you troubleshoot a service that's not starting on Linux?
Answer: Systematic troubleshooting approach:
Common issues:
- Configuration syntax errors
- Port already in use
- Permission denied
- Missing dependencies
- Insufficient disk space
Rarity: Very Common
Difficulty: Medium
Version Control with Git
3. Explain the basic Git workflow and common commands.
Answer: Git workflow for daily DevOps tasks:
Best practices:
- Write clear commit messages
- Commit often, push regularly
- Use feature branches
- Pull before pushing
- Review changes before committing
Rarity: Very Common
Difficulty: Easy
4. How do you resolve a merge conflict in Git?
Answer: Step-by-step conflict resolution:
Conflict markers:
<<<<<<< HEAD- Your current branch=======- Separator>>>>>>> branch-name- Incoming changes
Rarity: Common
Difficulty: Easy-Medium
CI/CD Basics
5. What is CI/CD and why is it important?
Answer: CI/CD stands for Continuous Integration and Continuous Deployment/Delivery.
Continuous Integration (CI):
- Automatically build and test code on every commit
- Catch bugs early
- Ensure code integrates properly
Continuous Deployment (CD):
- Automatically deploy to production after tests pass
- Faster release cycles
- Reduced manual errors
Benefits:
- Faster feedback loops
- Reduced integration problems
- Automated testing
- Consistent deployments
- Faster time to market
Rarity: Very Common
Difficulty: Easy
6. Explain a basic CI/CD pipeline using GitHub Actions.
Answer: Example GitHub Actions workflow:
Key concepts:
- Triggers: When pipeline runs (push, PR, schedule)
- Jobs: Independent tasks that can run in parallel
- Steps: Individual commands within a job
- Artifacts: Files passed between jobs
Rarity: Very Common
Difficulty: Medium
Docker & Containerization
7. What is Docker and why do we use containers?
Answer: Docker is a platform for developing, shipping, and running applications in containers.
Containers vs VMs:
- Containers share host OS kernel (lightweight)
- VMs include full OS (heavy)
- Containers start in seconds
- Better resource utilization
Benefits:
- Consistency: Same environment everywhere
- Isolation: Apps don't interfere
- Portability: Run anywhere
- Efficiency: Lightweight and fast
Rarity: Very Common
Difficulty: Easy
8. Explain common Docker commands.
Answer: Essential Docker commands:
Rarity: Very Common
Difficulty: Easy
9. Write a docker-compose.yml for a web application with a database.
Answer: Example multi-container application:
Key concepts:
- services: Define containers
- depends_on: Service dependencies
- volumes: Persistent data storage
- environment: Environment variables
- ports: Port mapping
- restart: Restart policy
Rarity: Common
Difficulty: Medium
Cloud Basics
10. Explain the difference between IaaS, PaaS, and SaaS.
Answer: Cloud service models:
IaaS (Infrastructure as a Service):
- Provides: Virtual machines, storage, networks
- You manage: OS, runtime, applications
- Examples: AWS EC2, Azure VMs, Google Compute Engine
- Use case: Full control over infrastructure
PaaS (Platform as a Service):
- Provides: Runtime environment, databases, middleware
- You manage: Applications and data
- Examples: AWS Elastic Beanstalk, Heroku, Google App Engine
- Use case: Focus on code, not infrastructure
SaaS (Software as a Service):
- Provides: Complete applications
- You manage: User data and settings
- Examples: Gmail, Salesforce, Office 365
- Use case: Ready-to-use applications
Rarity: Common
Difficulty: Easy
11. What are the basic AWS services a DevOps engineer should know?
Answer: Essential AWS services:
Compute:
- EC2: Virtual servers
- Lambda: Serverless functions
- ECS/EKS: Container orchestration
Storage:
- S3: Object storage
- EBS: Block storage for EC2
- EFS: Shared file storage
Networking:
- VPC: Virtual private cloud
- Route 53: DNS service
- CloudFront: CDN
- ELB: Load balancing
Database:
- RDS: Managed relational databases
- DynamoDB: NoSQL database
DevOps Tools:
- CodePipeline: CI/CD service
- CodeBuild: Build service
- CloudWatch: Monitoring and logging
- IAM: Access management
Example: Launch EC2 instance with AWS CLI:
Rarity: Very Common
Difficulty: Medium
Infrastructure as Code
12. What is Infrastructure as Code (IaC) and why is it important?
Answer: IaC is managing infrastructure through code rather than manual processes.
Benefits:
- Version Control: Track infrastructure changes
- Reproducibility: Create identical environments
- Automation: Reduce manual errors
- Documentation: Code serves as documentation
- Consistency: Same configuration everywhere
Popular IaC tools:
- Terraform: Multi-cloud provisioning
- Ansible: Configuration management
- CloudFormation: AWS-specific
- Pulumi: Code-based IaC
Example Terraform:
Rarity: Very Common
Difficulty: Medium
13. Explain basic Terraform workflow.
Answer: Terraform workflow steps:
Terraform file structure:
Example variables:
Rarity: Common
Difficulty: Medium
Monitoring & Logging
14. What metrics would you monitor for a web application?
Answer: Key monitoring metrics:
Application Metrics:
- Response time / latency
- Request rate (requests per second)
- Error rate (4xx, 5xx errors)
- Throughput
System Metrics:
- CPU usage
- Memory usage
- Disk I/O
- Network I/O
Infrastructure Metrics:
- Container/pod status
- Service availability
- Load balancer health
Example Prometheus query:
Alerting thresholds:
- Response time > 500ms
- Error rate > 1%
- CPU usage > 80%
- Memory usage > 85%
- Disk usage > 90%
Rarity: Common
Difficulty: Medium
15. How do you centralize logs from multiple servers?
Answer: Centralized logging architecture:
Common stack (ELK):
- Elasticsearch: Store and index logs
- Logstash/Fluentd: Collect and process logs
- Kibana: Visualize and search logs
Example Filebeat configuration:
Best practices:
- Use structured logging (JSON)
- Include correlation IDs
- Set retention policies
- Index strategically
- Monitor log volume
Rarity: Common
Difficulty: Medium
Kubernetes Basics
16. What is Kubernetes and what are its basic components?
Answer: Kubernetes is a container orchestration platform that automates deployment, scaling, and management of containerized applications.
Basic Components:
Control Plane:
- API Server: Entry point for all commands
- etcd: Key-value store for cluster data
- Scheduler: Assigns pods to nodes
- Controller Manager: Maintains desired state
Worker Nodes:
- kubelet: Manages pods on the node
- kube-proxy: Network routing
- Container Runtime: Runs containers (Docker, containerd)
Basic Kubernetes Objects:
1. Pod:
2. Deployment:
3. Service:
Common kubectl Commands:
Rarity: Very Common
Difficulty: Easy
Configuration Management
17. Explain Ansible basics and write a simple playbook.
Answer: Ansible is an agentless configuration management tool that uses SSH to configure servers.
Key Concepts:
- Inventory: List of servers to manage
- Playbook: YAML file defining tasks
- Modules: Reusable units of work
- Roles: Organized collection of tasks
Inventory File:
Simple Playbook:
Template Example:
Running Playbooks:
Ansible Roles Structure:
Using Roles:
Ad-hoc Commands:
Rarity: Common
Difficulty: Medium
Scripting & Automation
18. Write a bash script to automate a common DevOps task.
Answer: Bash scripting is essential for automation in DevOps.
Example 1: Backup Script
Example 2: Health Check Script
Example 3: Deployment Script
Best Practices:
- Use
set -eto exit on errors - Use
set -uto catch undefined variables - Add logging and error handling
- Make scripts idempotent
- Use functions for reusability
- Add comments and documentation
- Validate inputs
- Use meaningful variable names
Rarity: Very Common
Difficulty: Medium
Conclusion
Preparing for a junior DevOps engineer interview requires hands-on experience with core tools and concepts. Focus on:
- Linux fundamentals: Command line proficiency and troubleshooting
- Version control: Git workflows and collaboration
- CI/CD: Understanding automation pipelines
- Containers: Docker basics and orchestration
- Cloud platforms: AWS/Azure/GCP core services
- IaC: Terraform or Ansible basics
- Monitoring: Metrics and centralized logging
Practice these concepts in real projects, set up your own CI/CD pipelines, and deploy applications to cloud platforms. Hands-on experience is the best preparation. Good luck!



