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:
# File operations
ls -la # List files with details
cd /var/log # Change directory
cat /etc/hosts # Display file content
tail -f /var/log/app.log # Follow log file in real-time
grep "error" app.log # Search for patterns
# Process management
ps aux | grep nginx # List processes
top # Monitor system resources
kill -9 1234 # Force kill process
systemctl status nginx # Check service status
systemctl restart nginx # Restart service
# File permissions
chmod 755 script.sh # Change file permissions
chown user:group file # Change ownership
ls -l # View permissions
# Disk usage
df -h # Disk space usage
du -sh /var/log # Directory size
free -h # Memory usage
# Network
netstat -tulpn # Show listening ports
curl https://api.com # Make HTTP request
ping google.com # Test connectivity
ssh user@server # Remote loginRarity: Very Common
Difficulty: Easy
2. How do you troubleshoot a service that's not starting on Linux?
Answer: Systematic troubleshooting approach:
# 1. Check service status
systemctl status nginx
# Look for error messages
# 2. Check logs
journalctl -u nginx -n 50
# or
tail -f /var/log/nginx/error.log
# 3. Check configuration syntax
nginx -t
# 4. Check if port is already in use
netstat -tulpn | grep :80
# or
lsof -i :80
# 5. Check file permissions
ls -l /etc/nginx/nginx.conf
ls -ld /var/log/nginx
# 6. Check disk space
df -h
# 7. Try starting manually for more details
nginx -g 'daemon off;'
# 8. Check SELinux/AppArmor (if enabled)
getenforce
ausearch -m avc -ts recentCommon 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:
# Initialize repository
git init
git clone https://github.com/user/repo.git
# Check status
git status
git log --oneline
# Basic workflow
git add . # Stage changes
git commit -m "Add feature" # Commit changes
git push origin main # Push to remote
# Branching
git branch feature-x # Create branch
git checkout feature-x # Switch branch
git checkout -b feature-y # Create and switch
# Merging
git checkout main
git merge feature-x
# Pull latest changes
git pull origin main
# Undo changes
git reset --hard HEAD # Discard local changes
git revert abc123 # Revert specific commit
# Stash changes
git stash # Save changes temporarily
git stash pop # Restore stashed changes
# View differences
git diff # Unstaged changes
git diff --staged # Staged changesBest 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:
# 1. Attempt merge
git merge feature-branch
# Auto-merging file.txt
# CONFLICT (content): Merge conflict in file.txt
# 2. Check conflicted files
git status
# Unmerged paths:
# both modified: file.txt
# 3. Open conflicted file
cat file.txt
# <<<<<<< HEAD
# Current branch content
# =======
# Incoming branch content
# >>>>>>> feature-branch
# 4. Edit file to resolve conflict
# Remove conflict markers and keep desired changes
# 5. Stage resolved file
git add file.txt
# 6. Complete merge
git commit -m "Resolve merge conflict"
# Alternative: Abort merge
git merge --abortConflict 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:
# .github/workflows/ci-cd.yml
name: CI/CD Pipeline
on:
push:
branches: [ main ]
pull_request:
branches: [ main ]
jobs:
build-and-test:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v3
- name: Setup Node.js
uses: actions/setup-node@v3
with:
node-version: '18'
- name: Install dependencies
run: npm ci
- name: Run tests
run: npm test
- name: Build application
run: npm run build
- name: Run linter
run: npm run lint
deploy:
needs: build-and-test
runs-on: ubuntu-latest
if: github.ref == 'refs/heads/main'
steps:
- name: Deploy to production
run: |
echo "Deploying to production..."
# Add deployment commands hereKey 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
# Example Dockerfile
FROM node:18-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
EXPOSE 3000
CMD ["node", "server.js"]Rarity: Very Common
Difficulty: Easy
8. Explain common Docker commands.
Answer: Essential Docker commands:
# Images
docker pull nginx:latest # Download image
docker images # List images
docker rmi nginx:latest # Remove image
docker build -t myapp:1.0 . # Build image
# Containers
docker run -d -p 80:80 nginx # Run container
docker ps # List running containers
docker ps -a # List all containers
docker stop container_id # Stop container
docker start container_id # Start container
docker restart container_id # Restart container
docker rm container_id # Remove container
# Logs and debugging
docker logs container_id # View logs
docker logs -f container_id # Follow logs
docker exec -it container_id bash # Enter container
docker inspect container_id # Detailed info
# Cleanup
docker system prune # Remove unused data
docker volume prune # Remove unused volumes
# Docker Compose
docker-compose up -d # Start services
docker-compose down # Stop services
docker-compose logs -f # View logsRarity: Very Common
Difficulty: Easy
9. Write a docker-compose.yml for a web application with a database.
Answer: Example multi-container application:
version: '3.8'
services:
web:
build: .
ports:
- "3000:3000"
environment:
- NODE_ENV=production
- DB_HOST=db
- DB_PORT=5432
- DB_NAME=myapp
depends_on:
- db
volumes:
- ./logs:/app/logs
restart: unless-stopped
db:
image: postgres:15-alpine
environment:
- POSTGRES_DB=myapp
- POSTGRES_USER=admin
- POSTGRES_PASSWORD=secret
volumes:
- postgres_data:/var/lib/postgresql/data
ports:
- "5432:5432"
restart: unless-stopped
redis:
image: redis:7-alpine
ports:
- "6379:6379"
restart: unless-stopped
volumes:
postgres_data: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:
aws ec2 run-instances \
--image-id ami-0abcdef1234567890 \
--instance-type t2.micro \
--key-name my-key-pair \
--security-group-ids sg-0123456789abcdef0 \
--subnet-id subnet-0123456789abcdef0 \
--tag-specifications 'ResourceType=instance,Tags=[{Key=Name,Value=WebServer}]'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:
# main.tf
provider "aws" {
region = "us-east-1"
}
resource "aws_instance" "web" {
ami = "ami-0c55b159cbfafe1f0"
instance_type = "t2.micro"
tags = {
Name = "WebServer"
Environment = "Production"
}
}
resource "aws_security_group" "web_sg" {
name = "web-sg"
description = "Allow HTTP traffic"
ingress {
from_port = 80
to_port = 80
protocol = "tcp"
cidr_blocks = ["0.0.0.0/0"]
}
egress {
from_port = 0
to_port = 0
protocol = "-1"
cidr_blocks = ["0.0.0.0/0"]
}
}Rarity: Very Common
Difficulty: Medium
13. Explain basic Terraform workflow.
Answer: Terraform workflow steps:
# 1. Initialize Terraform
terraform init
# Downloads providers and modules
# 2. Format code
terraform fmt
# Formats .tf files
# 3. Validate configuration
terraform validate
# Checks syntax
# 4. Plan changes
terraform plan
# Shows what will be created/modified/destroyed
# 5. Apply changes
terraform apply
# Creates/updates infrastructure
# Prompts for confirmation
# 6. View state
terraform show
# Shows current state
# 7. Destroy infrastructure
terraform destroy
# Removes all resourcesTerraform file structure:
project/
├── main.tf # Main configuration
├── variables.tf # Input variables
├── outputs.tf # Output values
├── terraform.tfvars # Variable values
└── .terraform/ # Provider plugins
Example variables:
# variables.tf
variable "instance_type" {
description = "EC2 instance type"
type = string
default = "t2.micro"
}
variable "environment" {
description = "Environment name"
type = string
}
# terraform.tfvars
environment = "production"
instance_type = "t2.small"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:
# Average response time
rate(http_request_duration_seconds_sum[5m])
/ rate(http_request_duration_seconds_count[5m])
# Error rate
sum(rate(http_requests_total{status=~"5.."}[5m]))
/ sum(rate(http_requests_total[5m]))
# CPU usage
100 - (avg by (instance) (irate(node_cpu_seconds_total{mode="idle"}[5m])) * 100)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:
# filebeat.yml
filebeat.inputs:
- type: log
enabled: true
paths:
- /var/log/app/*.log
fields:
app: myapp
environment: production
output.elasticsearch:
hosts: ["elasticsearch:9200"]
index: "app-logs-%{+yyyy.MM.dd}"
processors:
- add_host_metadata: ~
- add_cloud_metadata: ~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:
apiVersion: v1
kind: Pod
metadata:
name: nginx-pod
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:latest
ports:
- containerPort: 802. Deployment:
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
spec:
replicas: 3
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.21
ports:
- containerPort: 803. Service:
apiVersion: v1
kind: Service
metadata:
name: nginx-service
spec:
selector:
app: nginx
ports:
- protocol: TCP
port: 80
targetPort: 80
type: LoadBalancerCommon kubectl Commands:
# Get resources
kubectl get pods
kubectl get deployments
kubectl get services
# Describe resource
kubectl describe pod nginx-pod
# Create from file
kubectl apply -f deployment.yaml
# Delete resource
kubectl delete pod nginx-pod
# View logs
kubectl logs nginx-pod
# Execute command in pod
kubectl exec -it nginx-pod -- /bin/bash
# Port forwarding
kubectl port-forward pod/nginx-pod 8080:80Rarity: 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:
# inventory.ini
[webservers]
web1.example.com
web2.example.com
[databases]
db1.example.com
[all: vars]
ansible_user=ubuntu
ansible_ssh_private_key_file=~/.ssh/id_rsaSimple Playbook:
# playbook.yml
---
- name: Setup Web Servers
hosts: webservers
become: yes
vars:
app_port: 8080
app_user: webapp
tasks:
- name: Update apt cache
apt:
update_cache: yes
cache_valid_time: 3600
- name: Install required packages
apt:
name:
- nginx
- python3
- git
state: present
- name: Create application user
user:
name: "{{ app_user }}"
shell: /bin/bash
create_home: yes
- name: Copy nginx configuration
template:
src: templates/nginx.conf.j2
dest: /etc/nginx/sites-available/default
notify: Restart nginx
- name: Ensure nginx is running
service:
name: nginx
state: started
enabled: yes
- name: Deploy application
git:
repo: https://github.com/example/app.git
dest: /var/www/app
version: main
become_user: "{{ app_user }}"
handlers:
- name: Restart nginx
service:
name: nginx
state: restartedTemplate Example:
# templates/nginx.conf.j2
server {
listen {{ app_port }};
server_name {{ ansible_hostname }};
location / {
proxy_pass http://localhost:3000;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
}
}Running Playbooks:
# Check syntax
ansible-playbook playbook.yml --syntax-check
# Dry run (check mode)
ansible-playbook playbook.yml --check
# Run playbook
ansible-playbook -i inventory.ini playbook.yml
# Run with specific tags
ansible-playbook playbook.yml --tags "deploy"
# Limit to specific hosts
ansible-playbook playbook.yml --limit webserversAnsible Roles Structure:
roles/
└── webserver/
├── tasks/
│ └── main.yml
├── handlers/
│ └── main.yml
├── templates/
│ └── nginx.conf.j2
├── files/
├── vars/
│ └── main.yml
└── defaults/
└── main.yml
Using Roles:
---
- name: Setup Infrastructure
hosts: all
become: yes
roles:
- common
- webserver
- monitoringAd-hoc Commands:
# Ping all hosts
ansible all -i inventory.ini -m ping
# Run command on all hosts
ansible all -i inventory.ini -a "uptime"
# Install package
ansible webservers -i inventory.ini -m apt -a "name=nginx state=present" --become
# Copy file
ansible all -i inventory.ini -m copy -a "src=/local/file dest=/remote/file"
# Restart service
ansible webservers -i inventory.ini -m service -a "name=nginx state=restarted" --becomeRarity: Common
Difficulty: Medium
Scripting & Automation
18. Write a bash script to automate a common DevOps task.
Answer: Bash scripting is essential for automation in DevOps.
Example 1: Backup Script
#!/bin/bash
# Database backup script with rotation
set -e # Exit on error
set -u # Exit on undefined variable
# Configuration
DB_NAME="myapp"
DB_USER="backup_user"
BACKUP_DIR="/var/backups/mysql"
RETENTION_DAYS=7
DATE=$(date +%Y%m%d_%H%M%S)
BACKUP_FILE="${BACKUP_DIR}/${DB_NAME}_${DATE}.sql.gz"
LOG_FILE="/var/log/mysql_backup.log"
# Function to log messages
log() {
echo "[$(date '+%Y-%m-%d %H:%M:%S')] $1" | tee -a "$LOG_FILE"
}
# Function to send notification
send_notification() {
local status=$1
local message=$2
# Send to Slack
curl -X POST -H 'Content-type: application/json' \
--data "{\"text\":\"Backup ${status}: ${message}\"}" \
"$SLACK_WEBHOOK_URL"
}
# Create backup directory if it doesn't exist
mkdir -p "$BACKUP_DIR"
# Start backup
log "Starting backup of database: $DB_NAME"
# Perform backup
if mysqldump -u "$DB_USER" -p"$DB_PASSWORD" "$DB_NAME" | gzip > "$BACKUP_FILE"; then
log "Backup completed successfully: $BACKUP_FILE"
# Get file size
SIZE=$(du -h "$BACKUP_FILE" | cut -f1)
log "Backup size: $SIZE"
# Remove old backups
log "Removing backups older than $RETENTION_DAYS days"
find "$BACKUP_DIR" -name "${DB_NAME}_*.sql.gz" -mtime +$RETENTION_DAYS -delete
# Upload to S3 (optional)
if command -v aws &> /dev/null; then
log "Uploading backup to S3"
aws s3 cp "$BACKUP_FILE" "s3://my-backups/mysql/" --storage-class GLACIER
fi
send_notification "SUCCESS" "Database $DB_NAME backed up successfully ($SIZE)"
else
log "ERROR: Backup failed"
send_notification "FAILED" "Database $DB_NAME backup failed"
exit 1
fi
log "Backup process completed"Example 2: Health Check Script
#!/bin/bash
# Service health check script
SERVICES=("nginx" "mysql" "redis")
ENDPOINTS=("http://localhost:80" "http://localhost:8080/health")
ALERT_EMAIL="ops@example.com"
check_service() {
local service=$1
if systemctl is-active --quiet "$service"; then
echo "✓ $service is running"
return 0
else
echo "✗ $service is NOT running"
return 1
fi
}
check_endpoint() {
local url=$1
local response=$(curl -s -o /dev/null -w "%{http_code}" "$url")
if [ "$response" -eq 200 ]; then
echo "✓ $url is healthy (HTTP $response)"
return 0
else
echo "✗ $url is unhealthy (HTTP $response)"
return 1
fi
}
check_disk_space() {
local threshold=80
local usage=$(df -h / | awk 'NR==2 {print $5}' | sed 's/%//')
if [ "$usage" -lt "$threshold" ]; then
echo "✓ Disk usage: ${usage}%"
return 0
else
echo "✗ Disk usage critical: ${usage}%"
return 1
fi
}
# Main health check
echo "=== System Health Check ==="
echo "Date: $(date)"
echo
failed_checks=0
# Check services
echo "Checking services..."
for service in "${SERVICES[@]}"; do
if ! check_service "$service"; then
((failed_checks++))
fi
done
echo
# Check endpoints
echo "Checking endpoints..."
for endpoint in "${ENDPOINTS[@]}"; do
if ! check_endpoint "$endpoint"; then
((failed_checks++))
fi
done
echo
# Check disk space
echo "Checking disk space..."
if ! check_disk_space; then
((failed_checks++))
fi
echo
# Report results
if [ $failed_checks -eq 0 ]; then
echo "All checks passed!"
exit 0
else
echo "Failed checks: $failed_checks"
# Send alert email
echo "Health check failed. $failed_checks issues detected." | \
mail -s "Health Check Alert" "$ALERT_EMAIL"
exit 1
fiExample 3: Deployment Script
#!/bin/bash
# Application deployment script
APP_NAME="myapp"
APP_DIR="/var/www/$APP_NAME"
REPO_URL="https://github.com/example/myapp.git"
BRANCH="main"
BACKUP_DIR="/var/backups/deployments"
deploy() {
echo "Starting deployment of $APP_NAME"
# Create backup
echo "Creating backup..."
BACKUP_FILE="${BACKUP_DIR}/${APP_NAME}_$(date +%Y%m%d_%H%M%S).tar.gz"
tar -czf "$BACKUP_FILE" -C "$APP_DIR" .
# Pull latest code
echo "Pulling latest code from $BRANCH..."
cd "$APP_DIR" || exit 1
git fetch origin
git checkout "$BRANCH"
git pull origin "$BRANCH"
# Install dependencies
echo "Installing dependencies..."
npm ci --production
# Run database migrations
echo "Running migrations..."
npm run migrate
# Build application
echo "Building application..."
npm run build
# Restart application
echo "Restarting application..."
pm2 restart "$APP_NAME"
# Health check
echo "Performing health check..."
sleep 5
if curl -f http://localhost:3000/health > /dev/null 2>&1; then
echo "✓ Deployment successful!"
return 0
else
echo "✗ Health check failed. Rolling back..."
rollback "$BACKUP_FILE"
return 1
fi
}
rollback() {
local backup_file=$1
echo "Rolling back to previous version..."
cd "$APP_DIR" || exit 1
rm -rf ./*
tar -xzf "$backup_file" -C .
pm2 restart "$APP_NAME"
echo "Rollback completed"
}
# Run deployment
deployBest 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!




