DevOps Coding Interview Questions with Answers

DevOps has become the backbone of modern software delivery. Companies want engineers who not only write clean code but also automate, deploy, and monitor it seamlessly in production. That’s why DevOps coding interview questions are now a core part of technical interviews for DevOps engineers, SREs, and cloud professionals.

Recruiters use these questions to see if you understand both the “Dev” and the “Ops” side of the equation. They want to know if you can write scripts that automate repetitive tasks, debug failing pipelines, and optimize deployments for speed and reliability. The focus is always on practical skills, like your ability to apply knowledge to real-world challenges.

In this guide, we’ll cover everything you need to cover in your coding interview prep roadmap: from basic concepts like CI/CD and containers to intermediate scripting and pipeline management to advanced automation, optimization, and deployment scenarios. You’ll also find step-by-step coding exercises, debugging questions, and behavioral scenarios that mirror real-world situations.

If you’re preparing for DevOps coding interview questions, this guide will help you feel confident and ready.

Why Companies Ask DevOps Coding Interview Questions

The rise of cloud-native development, microservices, and rapid release cycles has made DevOps a must-have skill. Companies across industries, like fintech, healthcare, e-commerce, and SaaS, rely on DevOps to deliver reliable, scalable, and secure software faster than ever. This is why these coding interview questions are a staple in technical hiring, just like Java coding interview questions.

When recruiters test you, they’re evaluating four major areas:

Conceptual knowledge: Do you understand the principles of CI/CD pipelines, infrastructure as code, and container orchestration? Can you explain concepts like blue-green deployments or GitOps clearly?
Implementation skills: Can you write Bash or Python scripts to automate tasks? Can you configure a Jenkins pipeline or deploy a container to Kubernetes?
Optimization: Do you know how to improve build times, reduce pipeline failures, or optimize Docker images? Can you think about scalability and performance under real-world loads?
Deployment readiness: Can you take a model or application from development to production? Do you understand how to handle secrets securely, monitor applications, and maintain reliability in cloud environments?

These questions aren’t about memorizing commands. They’re about demonstrating that you can build systems that are automated, repeatable, and resilient.

Core Concepts to Master Before the Interview

Before you dive into scripts and coding challenges, you need to understand the core principles and how to practice for coding interviews. Most DevOps coding interview questions revolve around these topics.

CI/CD Pipelines

A CI/CD pipeline is the foundation of DevOps. You should understand:

Continuous Integration (CI): Automating builds and tests whenever code changes.
Continuous Delivery (CD): Ensuring code is always deployable.
Continuous Deployment: Automatically pushing code to production after passing tests.

Be familiar with tools like Jenkins, GitHub Actions, GitLab CI, or CircleCI.

Containers & Orchestration

Containers (e.g., Docker) package code and dependencies together. You’ll often get questions about:

Writing Dockerfiles.
Managing container volumes and networking.
Optimizing image sizes.

Kubernetes is the industry standard for orchestration. You should know:

Pods, deployments, and services.
Scaling applications with replicas.
Rolling updates and rollbacks.

Infrastructure as Code (IaC)

With IaC, you define infrastructure in files instead of manual steps. You should be comfortable with:

Terraform: declarative syntax, state files, providers.
Ansible: playbooks, roles, idempotency.
AWS CloudFormation: managing AWS resources with templates.

Expect interviewers to ask you to write or debug small IaC snippets.

Monitoring & Logging

DevOps is about keeping systems healthy. Know the basics of:

Monitoring tools: Prometheus, Grafana, CloudWatch.
Logging stacks: ELK (Elasticsearch, Logstash, Kibana).
Alerting: setting up thresholds and escalation rules.

Scripting Skills

Strong scripting is non-negotiable in DevOps roles. Be ready to:

Write Bash scripts for system monitoring and automation.
Use Python for more complex tasks (parsing logs, API calls).
Debug and optimize scripts under time pressure.

Mastering these fundamentals will help you answer even tough DevOps coding interview questions with confidence. You can also use Educative’s Grokking the Coding Interview Patterns for further preparation.

Basic DevOps Coding Interview Questions

These questions test whether you understand the essentials of DevOps practices and tools.

1. What is DevOps, and how is it different from Agile?

Answer:
- Agile focuses on iterative software development and collaboration between devs and stakeholders.
- DevOps extends Agile by focusing on automation, CI/CD, and collaboration between development and operations.
- Together, they ensure faster and more reliable software delivery.

2. Explain the CI/CD process.

Answer:
- CI (Continuous Integration): Automates builds and testing whenever new code is pushed.
- CD (Continuous Delivery/Deployment): Automates releases to staging or production environments.

# Example GitHub Actions CI workflow

name: CI

on: [push]

jobs:

  build:

    runs-on: ubuntu-latest

    steps:

      – uses: actions/checkout@v2

      – name: Install dependencies

        run: npm install

      – name: Run tests

        run: npm test

3. What are containers, and why are they used?

Answer:
- Containers (e.g., Docker) bundle applications with their dependencies.
- They solve “works on my machine” issues by providing a consistent runtime environment.

# Simple Dockerfile

FROM python:3.9

WORKDIR /app

COPY requirements.txt .

RUN pip install -r requirements.txt

COPY . .

CMD [“python”, “app.py”]

      – name: Run tests

        run: npm test

4. What’s the difference between continuous deployment and continuous delivery?

Answer:
- Continuous Delivery: Code is always deployable, but release to production may still require manual approval.
- Continuous Deployment: Every change that passes tests is deployed automatically to production.

These basic DevOps coding interview questions confirm that you know the fundamentals before moving into coding-heavy tasks.

Intermediate DevOps Coding Interview Questions

At this level, interviewers expect you to solve practical automation and deployment problems.

1. Write a Bash script to monitor CPU usage.

Answer:

#!/bin/bash

THRESHOLD=80

USAGE=$(top -bn1 | grep “Cpu(s)” | awk ‘{print $2 + $4}’)

if (( $(echo “$USAGE > $THRESHOLD” | bc -l) )); then

  echo “High CPU usage: $USAGE%”

fi

This checks CPU usage and alerts if it exceeds the threshold.

2. Explain how Docker volumes work.

Answer:
- Docker volumes persist data outside of containers.
- Useful for databases and stateful applications.

docker run -d -v myvolume:/data myapp

3. How do you roll back a failed deployment in Kubernetes?

Answer:
- Kubernetes keeps deployment history. You can roll back using:

kubectl rollout undo deployment/my-deployment

4. What is blue-green deployment, and when would you use it?

Answer:
- Run two identical environments (Blue = current, Green = new).
- Route traffic to Green when it’s ready.
- Ensures zero-downtime releases.

5. Write a script to parse log files and count errors.

Answer:

#!/bin/bash

grep -i “error” app.log | wc -l

Simple script to count error lines in a log file.

These intermediate DevOps coding interview questions show if you can script, manage pipelines, and handle common DevOps scenarios.

Advanced DevOps Coding Interview Questions

These focus on scalability, security, and automation at production scale.

1. How do you scale microservices in Kubernetes?

Answer:
- Use kubectl scale to manually adjust replicas.
- Configure Horizontal Pod Autoscaler (HPA) for automatic scaling.

kubectl autoscale deployment my-app –cpu-percent=50 –min=2 –max=10

2. Explain GitOps and how it differs from traditional CI/CD.

Answer:
- GitOps: Uses Git as the source of truth for deployments. Changes to Git automatically trigger updates.
- Traditional CI/CD: Pipelines push code to environments, not always source-controlled.

3. How do you handle secrets in pipelines securely?

Answer:
- Use secret managers (Vault, AWS Secrets Manager, Kubernetes Secrets).
- Avoid hardcoding secrets in scripts.

# Example using GitHub Actions secret

– name: Use secret

  run: echo “${{ secrets.MY_SECRET }}”

4. Write a Python script to automate infrastructure provisioning.

Answer:

import boto3

ec2 = boto3.resource(‘ec2′)

instance = ec2.create_instances(

    ImageId=’ami-12345678′,

    MinCount=1,

    MaxCount=1,

    InstanceType=’t2.micro’

)

print(“Launched instance:”, instance[0].id)

5. Discuss strategies for zero-downtime deployments.

Answer:
- Blue-green deployments.
- Rolling updates.
- Canary releases (gradual traffic shift).

These advanced DevOps coding interview questions separate candidates who can handle production-scale systems from those who only know the basics.

Debugging & Optimization DevOps Coding Interview Questions

These questions show how you think under pressure. They test strategy, not just syntax.

1) Your CI job fails intermittently. How do you debug it?

Stabilize the signal.
- Re-run with the same commit. Note flakiness.
- Disable parallelism temporarily.
Trace the path.
- Add timestamps and set -euxo pipefail to scripts.
- Capture artifacts (logs, screenshots, test reports).
Quarantine flakes.
- Isolate suspect tests with retries and backoff.
- Turn off cache; compare warm vs cold runs.
Check environment parity.
- Pin tool versions. Containerize the job.
Harden the pipeline.
- Add retry wrappers around network calls.
- Use exponential backoff, circuit breakers.

# Bash: safer scripts

set -euxo pipefail

retry() { n=0; until “$@” || [ $n -ge 4 ]; do n=$((n+1)); sleep $((2**n)); done; }

retry curl -sSf https://internal-service/health

2) How do you optimize Docker image builds?

Multi-stage builds to keep runtime lean.
Layer hygiene: .dockerignore, combine RUN steps, clean caches.
Pin versions for reproducible builds.
Use smallest base image that meets needs.

# Multi-stage Node example

FROM node:20 as build

WORKDIR /app

COPY package*.json ./

RUN npm ci

COPY . .

RUN npm run build

FROM gcr.io/distroless/nodejs20

WORKDIR /app

COPY –from=build /app/dist ./dist

USER nonroot

CMD [“dist/server.js”]

3) A Kubernetes Pod is CrashLoopBackOff. What do you do?

Read logs.

 kubectl logs deploy/api -c api –previous

Describe the pod for events.

 kubectl describe pod <name>

Check readiness/liveness probes and resource limits.
Verify secrets, config, and image pulls.
Reproduce locally with the same command/args/env.

4) How do you reduce pipeline execution time?

Parallelize independent stages.
Cache dependencies between jobs.
Matrix builds to split test suites.
Shallow clones and paths filters.
Self-hosted runners for faster I/O.

# GitHub Actions: Node deps cache

– uses: actions/cache@v3

  with:

    path: ~/.npm

    key: npm-${{ hashFiles(‘package-lock.json’) }}

    restore-keys: |

      npm-

Hands-On DevOps Coding Interview Questions (Step-by-Step Solutions)

Each task mirrors real work. You write, run, and explain.

Task 1 — Bash: Disk space alert with thresholds

Goal: Alert when any filesystem exceeds N% usage.

Why it’s asked: Tests shell, parsing, and defensive scripting.

#!/usr/bin/env bash

set -euo pipefail

THRESHOLD=”${1:-85}”

while read -r use mount; do

  pct=”${use%%%}”      # strip %

  if (( pct >= THRESHOLD )); then

    echo “ALERT: $mount at ${pct}%”

    # hook: send to Slack/email here

  fi

done < <(df -P -h | awk ‘NR>1{print $5,$6}’)

Explain:

Portable df -P.
Safe parsing.
Pluggable notifier.

Task 2 — Jenkins Declarative Pipeline: Build → Test → Docker → Push → K8s

Goal: End-to-end CI/CD with gated deploy.

Why it’s asked: Validates pipeline thinking and promotion control.

pipeline {

  agent any

  environment {

    REGISTRY = “registry.example.com/app”

    IMAGE_TAG = “${env.BUILD_NUMBER}”

    KUBECONFIG_CRED = ‘kubeconfig-cred-id’

  }

  stages {

    stage(‘Checkout’){ steps { checkout scm } }

    stage(‘Build’){ steps { sh ‘npm ci && npm run build’ } }

    stage(‘Test’){ steps { sh ‘npm test — –ci –reporters=jest-junit’ } }

    stage(‘Docker Build & Push’){

      steps {

        sh “””

          docker build -t $REGISTRY:$IMAGE_TAG .

          echo “$REGISTRY_PASS” | docker login $REGISTRY -u “$REGISTRY_USER” –password-stdin

          docker push $REGISTRY:$IMAGE_TAG

        “””

      }

    }

    stage(‘Deploy to Staging’){

      steps {

        withCredentials([file(credentialsId: env.KUBECONFIG_CRED, variable: ‘KUBECONFIG’)]) {

          sh ‘kubectl set image deploy/app app=$REGISTRY:$IMAGE_TAG -n staging’

        }

      }

    }

    stage(‘Smoke Test’){ steps { sh ‘curl -fsS https://staging.example.com/health’ } }

    stage(‘Manual Approval’){ when { branch ‘main’ } steps { input ‘Promote to Production?’ } }

    stage(‘Deploy to Prod’){

      when { branch ‘main’ }

      steps {

        withCredentials([file(credentialsId: env.KUBECONFIG_CRED, variable: ‘KUBECONFIG’)]) {

          sh ‘kubectl set image deploy/app app=$REGISTRY:$IMAGE_TAG -n prod’

        }

      }

    }

  }

  post { always { junit ‘**/junit.xml’; archiveArtifacts ‘**/coverage/**’ } }

}

Explain:

Separates build/test/deploy.
Uses creds securely.
Manual gate for prod.

Task 3 — Python: List unhealthy Kubernetes Pods

Goal: Print pods not Ready.

Why it’s asked: Checks Python + K8s client usage.

#!/usr/bin/env python3

from kubernetes import client, config

def is_ready(cond):

    return cond.type == “Ready” and cond.status == “True”

def main(namespace=”default”):

    config.load_kube_config()  # or load_incluster_config()

    v1 = client.CoreV1Api()

    pods = v1.list_namespaced_pod(namespace).items

    for p in pods:

        conds = p.status.conditions or []

        ready = any(is_ready(c) for c in conds)

        if not ready:

            print(f”{p.metadata.name}: NOT READY”)

            # Optional: print reason

            if p.status.container_statuses:

                for cs in p.status.container_statuses:

                    if cs.state.waiting:

                        print(”  waiting:”, cs.state.waiting.reason)

if __name__ == “__main__”:

    main()

Explain:

Works locally or in-cluster.
Surfaces waiting reasons.

Task 4 — Ansible: Idempotent Nginx setup

Goal: Install and start Nginx with a managed config.

Why it’s asked: Verifies IaC style and idempotency.

# site.yml

– hosts: web

  become: yes

  vars:

    nginx_port: 8080

  tasks:

    – name: Install Nginx

      apt:

        name: nginx

        state: present

        update_cache: yes

    – name: Push nginx.conf

      template:

        src: nginx.conf.j2

        dest: /etc/nginx/nginx.conf

      notify: Reload nginx

    – name: Ensure nginx enabled and running

      service:

        name: nginx

        state: started

        enabled: yes

  handlers:

    – name: Reload nginx

      service:

        name: nginx

        state: reloaded

# templates/nginx.conf.j2 (snippet)

events {}

http {

  server {

    listen {{ nginx_port }};

    location / { return 200 “ok\n”; }

  }

}

Explain:

Templates keep config DRY.
Handler reloads only on change.

Task 5 — GitHub Actions: Build container → Push to ECR → Update ECS

Goal: Cloud deployment via workflow.

Why it’s asked: Tests cloud auth, registries, and rollout.

name: ci-cd

on:

  push:

    branches: [ “main” ]

jobs:

  build-and-deploy:

    runs-on: ubuntu-latest

    permissions:

      id-token: write

      contents: read

    steps:

      – uses: actions/checkout@v4

      – name: Configure AWS

        uses: aws-actions/configure-aws-credentials@v4

        with:

          role-to-assume: ${{ secrets.AWS_ROLE_ARN }}

          aws-region: us-east-1

      – name: Login to ECR

        uses: aws-actions/amazon-ecr-login@v2

      – name: Build, tag, push

        env:

          ECR: ${{ secrets.ECR_REPO }}

          IMAGE_TAG: ${{ github.sha }}

        run: |

          docker build -t $ECR:$IMAGE_TAG .

          docker push $ECR:$IMAGE_TAG

      – name: Deploy to ECS

        uses: aws-actions/amazon-ecs-deploy-task-definition@v2

        with:

          task-definition: taskdef.json

          service: my-ecs-service

          cluster: my-ecs-cluster

          wait-for-service-stability: true

Explain:

OIDC to assume role (no long-lived keys).
Immutable tag = commit SHA.
One job, clear promotion path.

(Optional) Task 6 — Terraform: Minimal S3 bucket with tags

Goal: Show declarative infra.

Why it’s asked: Confirms Terraform basics.

provider “aws” { region = “us-east-1” }

resource “aws_s3_bucket” “logs” {

  bucket = “org-example-logs-${random_id.suffix.hex}”

  tags = {

    env = “staging”

    owner = “devops”

  }

}

resource “random_id” “suffix” { byte_length = 4 }

Explain:

Deterministic plan/apply.
Randomized name to avoid collisions.

Behavioral & Scenario-Based DevOps Coding Interview Questions

These questions test how you think, explain, and collaborate when things go wrong or when priorities shift. Interviewers want to see your decision-making, communication, and problem-solving abilities.

1) “Your deployment fails minutes before a release deadline. What do you do?”

Answer:
- Stay calm and stop the bleeding first.
- Roll back to the last known stable version.
- Check logs and CI/CD output for root cause.
- Communicate transparently with stakeholders.
- Document the issue for a postmortem.
This shows you can handle pressure, prioritize stability, and lead incident response.

2) “How do you explain DevOps to a non-technical stakeholder?”

Answer (analogy):
- “Think of DevOps as a factory assembly line. Instead of building each car manually, we automate the process, so every car is built consistently, tested, and shipped faster. DevOps does the same for software—automating and streamlining from code to production.”
This demonstrates clarity and empathy in communication.

3) “You’re asked to reduce cloud costs by 20%. How do you approach it?”

Answer:
- Audit infrastructure usage with billing reports.
- Identify idle VMs, underutilized clusters, and orphaned volumes.
- Apply autoscaling and right-size instances.
- Implement lifecycle policies for logs and backups.
- Recommend spot instances where appropriate.
This proves you can balance technical and business goals.

4) “How do you prioritize monitoring metrics in production?”

Answer:
- Focus on the four golden signals: latency, traffic, errors, saturation.
- Add app-specific business KPIs (e.g., checkout success rate).
- Ensure dashboards are simple and actionable.
- Use alerts with severity levels (warning vs critical).
This shows structured thinking around observability.

Practicing these behavioral DevOps coding interview questions helps you show not only your technical expertise but also your judgment and teamwork.

Common Mistakes Candidates Make in DevOps Interviews

Even skilled candidates lose points by overlooking fundamentals. Here are common mistakes you should avoid in DevOps coding interview questions:

1) Hardcoding secrets in scripts

Problem: Storing passwords or tokens in code.
Fix: Use secret managers (Vault, AWS Secrets Manager, Kubernetes Secrets).

# Correct approach with GitHub Actions

– name: Use secret

  run: echo “${{ secrets.DB_PASSWORD }}”

2) Writing inefficient shell scripts

Problem: Parsing with fragile regex, ignoring edge cases.
Fix: Use built-in tools (awk, sed, jq) and test with real-world data.

3) Ignoring error handling in pipelines

Problem: Scripts return success even when commands fail.
Fix: Add set -euo pipefail to Bash scripts.

4) Confusing IaC tools

Problem: Mixing Terraform, Ansible, and CloudFormation without clarity.
Fix: Remember:
- Terraform = provisioning infra.
- Ansible = configuring servers.
- CloudFormation = AWS-specific provisioning.

5) Focusing only on tools, not concepts

Problem: Listing Jenkins, Docker, Kubernetes without explaining why they’re used.
Fix: Always tie tools back to principles like automation, scalability, and resilience.

Avoiding these mistakes instantly improves your performance in DevOps coding interview questions and helps you stand out as a thoughtful candidate.

How to Prepare Effectively for DevOps Coding Interview Questions

Preparing for DevOps coding interview questions can feel overwhelming, but the right strategy breaks it down into clear, achievable steps. A strong prep plan balances concepts, hands-on coding, debugging practice, and behavioral readiness.

Step 1: Review the fundamentals

Refresh core topics like CI/CD pipelines, containers, and Infrastructure as Code.
Revisit monitoring and logging tools (Prometheus, Grafana, ELK).
Understand deployment strategies (blue-green, canary, rolling).
Tip: Build small projects to apply these concepts instead of just reading about them.

Step 2: Practice coding daily

Write Bash scripts for system monitoring, log parsing, and alerts.
Use Python to interact with APIs (Kubernetes, AWS SDK).
Automate small infrastructure tasks with Terraform or Ansible.
Focus on writing idempotent, clean, and reusable code.

Step 3: Optimize and debug like an engineer

Take failing pipelines and practice fixing them.
Profile Docker builds and optimize image sizes.
Troubleshoot Kubernetes Pods (CrashLoopBackOff, OOMKilled).
Build confidence in root cause analysis, not just quick fixes.

Step 4: Run mock interviews

Pair with a peer or mentor. Practice live coding Bash or Python.
Explain your reasoning out loud—interviewers value clarity as much as correctness.
Run through scenario-based questions (deployment failures, cost reduction, monitoring strategy).

Final Week Checklist

Review core concepts daily (CI/CD, IaC, monitoring).
Solve at least 5 end-to-end coding challenges (pipelines, scripts, IaC).
Rehearse answers to behavioral questions.
Rest and stay sharp—interviews test your calm under pressure.

With this approach, you’ll be ready to tackle any DevOps coding interview questions with confidence.

Wrapping Up

By now, you’ve seen how DevOps coding interview questions cover far more than simple definitions. They test whether you can:

Understand the core concepts like CI/CD, containers, IaC, and monitoring.
Solve coding challenges with Bash, Python, pipelines, and automation.
Debug and optimize real-world issues in Docker, Kubernetes, and CI pipelines.
Handle behavioral and scenario-based questions with clear, calm explanations.
Avoid common mistakes that trip up even experienced engineers.

The good news? Every one of these areas is learnable through practice. The more you script, build, debug, and deploy, the more natural it will feel in an interview setting.

Remember, interviewers aren’t looking for perfection. They’re looking for engineers who can think clearly, solve problems systematically, and keep systems reliable under pressure.

If you’re preparing for DevOps coding interview questions, take this guide as your roadmap. Build daily habits around coding, automation, and communication. With consistency, you’ll walk into your next interview ready to showcase not just what you know, but how you apply it in real-world DevOps work.

DevOps Coding Interview Questions with Answers

Why Companies Ask DevOps Coding Interview Questions

Core Concepts to Master Before the Interview

CI/CD Pipelines

Containers & Orchestration

Infrastructure as Code (IaC)

Monitoring & Logging

Scripting Skills

Basic DevOps Coding Interview Questions

1. What is DevOps, and how is it different from Agile?

2. Explain the CI/CD process.

3. What are containers, and why are they used?

4. What’s the difference between continuous deployment and continuous delivery?

Intermediate DevOps Coding Interview Questions

1. Write a Bash script to monitor CPU usage.

2. Explain how Docker volumes work.

3. How do you roll back a failed deployment in Kubernetes?

4. What is blue-green deployment, and when would you use it?

5. Write a script to parse log files and count errors.

Advanced DevOps Coding Interview Questions

1. How do you scale microservices in Kubernetes?

2. Explain GitOps and how it differs from traditional CI/CD.

3. How do you handle secrets in pipelines securely?

4. Write a Python script to automate infrastructure provisioning.

5. Discuss strategies for zero-downtime deployments.

Debugging & Optimization DevOps Coding Interview Questions

1) Your CI job fails intermittently. How do you debug it?

2) How do you optimize Docker image builds?

3) A Kubernetes Pod is CrashLoopBackOff. What do you do?

4) How do you reduce pipeline execution time?

Hands-On DevOps Coding Interview Questions (Step-by-Step Solutions)

Task 1 — Bash: Disk space alert with thresholds

Task 2 — Jenkins Declarative Pipeline: Build → Test → Docker → Push → K8s

Task 3 — Python: List unhealthy Kubernetes Pods

Task 4 — Ansible: Idempotent Nginx setup

Task 5 — GitHub Actions: Build container → Push to ECR → Update ECS

(Optional) Task 6 — Terraform: Minimal S3 bucket with tags

Behavioral & Scenario-Based DevOps Coding Interview Questions

1) “Your deployment fails minutes before a release deadline. What do you do?”

2) “How do you explain DevOps to a non-technical stakeholder?”

3) “You’re asked to reduce cloud costs by 20%. How do you approach it?”

4) “How do you prioritize monitoring metrics in production?”

Common Mistakes Candidates Make in DevOps Interviews

1) Hardcoding secrets in scripts

2) Writing inefficient shell scripts

3) Ignoring error handling in pipelines

4) Confusing IaC tools

5) Focusing only on tools, not concepts

How to Prepare Effectively for DevOps Coding Interview Questions

Step 1: Review the fundamentals

Step 2: Practice coding daily

Step 3: Optimize and debug like an engineer

Step 4: Run mock interviews

Final Week Checklist

Wrapping Up

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