Preparing for Cloud Computing Interview Questions

I gave 60+ interviews last year, and I can tell you for a fact that mediocre preparation will not help you clear these rounds. System design rounds have a heavy weightage and for good reason. They test you for: – How you frame an ambiguous problem and choose the constraints – How strong your fundamentals are around storage, caching, queues, networking, performance – Whether you can go deep on 1 or 2 critical pieces instead of hand waving the whole picture – How clearly you communicate under time pressure while making trade offs explicit If you are preparing, here is a simple framework anyone can apply: 1. Get the basics out of the way - Storage: relational vs document vs key value, when to pick what, ACID vs BASE. - Scalability: vertical vs horizontal scaling, sharding, replication, consistent hashing. - Networking: request flow, REST vs gRPC vs WebSockets, what a load balancer actually does. - Performance and reliability: latency vs throughput, caching strategies, replication, failover, CAP. Do not try to memorize every term. Target the top 6 concepts and understand where they show up. Get your fundamentals strong 2. Learn the standard components by use case. For each of these, answer: what problem does it solve, what trade-offs does it bring? - Database - Cache - Message queue - Blob storage - CDN - Search index Once you can explain those in plain language, boxes on the whiteboard start to mean something. 3. Use a strict interview framework every single time When you hear a question: - Clarify requirements + Functional: what the system must do. + Non-functional: scale, latency, consistency, availability targets. - Identify core entities and APIs + List 3 to 5 main entities and 5 to 8 key endpoints. - Draw a simple first design + One web tier, one service layer, one database, maybe a cache. - Deep dive on 2 things that actually matter for this problem Examples: feed ranking and fanout for a social app, ticket booking consistency for Ticketmaster, hot key handling for rate limiting. 4. Practice on a tight set of patterns. Rotate through about 10 problems that cover the main shapes: - Content feed - File storage and sharing - Messaging or chat - Rate limiter or API gateway - Search and autocomplete - Analytics or click tracking pipeline - Ticket booking or reservation - Notification service - For each problem, do three passes: + Pass 1: watch or read a good solution to understand the pattern. + Pass 2: do it yourself on a timer, then compare. + Pass 3: teach it out loud to a friend or a blank screen. If you treat system design like another multiple-choice quiz, 2026 interviews will be painful. – P.S: Say Hi on Twitter: https://lnkd.in/g9H82Q98 — P.P.S: Feel free to reach out to me if you're preparing for a switch, want to chat about interview preparation, or how to move to the next level in your career: https://lnkd.in/guttEuU7

PwC Interview experience Position: DevOps Engineer Round 2 & 3 Questions 𝐑𝐨𝐮𝐧𝐝 𝟐: 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐑𝐨𝐮𝐧𝐝 (𝟔𝟎 𝐦𝐢𝐧𝐮𝐭𝐞𝐬) 1. You’ve got an app running in one AWS account that needs to access an S3 bucket in another account. How would you set that up securely? 2. Can you write a Dockerfile for a Node.js app using multi-stage builds — just something you’d actually use in a real project? 3. Suppose your Terraform state file gets corrupted or out of sync. What steps would you take to recover from that? 4. You have an EC2 in a private subnet and can’t use a NAT Gateway. How else can it reach the internet for updates or downloads? 5. A container has crashed or exited suddenly — how would you go about figuring out what went wrong? 6. There’s an existing AWS VPC created manually, but now you want to manage it through Terraform. How would you import it and make sure nothing breaks? 7. How would you roll out blue-green deployments in a Kubernetes cluster? What would that look like in practice? 8. When using Terraform, how do you manage sensitive values like secrets or API keys without hardcoding them? 9. In a Dockerfile, what’s the practical difference between using COPY and ADD? When would you prefer one over the other? 10. If you had to create resources across two different AWS accounts using Terraform, how would you set that up? 11. Imagine you have a PHP app in a Docker container that needs MySQL credentials — how would you pass those securely? 12. If someone manually changed an S3 bucket policy that was originally created with Terraform, how would you deal with that kind of drift? 13. How do you enforce rules in Kubernetes to control which pods can talk to each other? 14. Could you write a small Python script that backs up all files older than 30 days from a folder? 15. If your team is seeing a spike in cloud costs, how would you go about figuring out why — and cutting cost without hurting performance? 16. Say you want to serve users in different countries using AWS. How would you route traffic based on user location? 17. You’re on-call. A production Kubernetes cluster is a mess — pods aren’t pulling images, some are getting evicted, and users are seeing errors. How do you troubleshoot this, and how would you prevent it next time? 𝐑𝐨𝐮𝐧𝐝 𝟑: 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫𝐚𝐥 𝐑𝐨𝐮𝐧𝐝 1. What would you do if you were asked to work on a tool or technology you’ve never used before? 2. Can you share a time when you had to deliver something quickly, but didn’t have all the time or resources you needed? How did you manage it? 3. Tell me about a mistake or outage you were involved in — how did you respond, and what did you learn from it? 4. What’s the hardest technical issue you’ve faced so far? How did you go about solving it? 5. If you wanted to convince your team or manager to adopt a new tool or process, how would you make your case? 6. Can you talk about a time when you had to pick up a new tool or skill quickly to solve a real problem?

🎯If you're aiming for Cloud engineer roles, here's how to prep for scenario-based interviews using cloud architecture principles.. Let’s align your interview prep with cloud architecture fundamentals: 1. Scalable Systems  ↳ Know how to design for traffic surges using load balancers and autoscaling  ↳ Example Prep: Describe a time you handled unexpected load increases? 2. Highly available, Reliable & Resilient Systems   ↳ Understand fault tolerance, multi-AZ/multi-region designs, Disaster Recovery & Backup Strategies  ↳ Example Prep: Explain how you achieved high availability in your solution. 3. Secure Architecture  ↳ Be ready to talk IAM, VPC security, encryption etc  ↳ Example Prep: How did you manage data in your last project? (see the hints for security) 4. Cost-Effective Design  ↳ Show awareness of billing models, reserved instances, discounts and right-sizing  ↳ Example Prep: What decisions helped reduce your cloud costs? 5. Automated Deployments  ↳ Speak to IaC, CI/CD pipelines, and provisioning tools  ↳ Example Prep: How did automation improve your team’s velocity? 6. Manageable Environments  ↳ Bring up centralized monitoring, alerting, and logging  ↳ Example Prep: How did you improve observability in your infrastructure? 7. Interoperability  ↳Touch on hybrid/multi-cloud setups, API integrations, and vendor-agnostic tooling  ↳ Example Prep: How did you connect cloud with legacy/on-prem systems? 8. Multi-Tenant Architectures  ↳ Show understanding of data isolation, access controls, and shared resources  ↳ Example Prep: How did you design for multiple clients in a shared environment? 9. Flexibility  ↳ Talk about supporting multiple runtimes, deployment models, or frameworks  ↳ Example Prep: What did you do to keep your architecture adaptable? 🔔 Stay connected for industry’s latest content – Follow Dr. Anil Lamba, CISSP #linkedin #teamamex #JPMorganChase #cybersecurity #technologycontrols #infosec #informationsecurity #GenAi #linkedintopvoices #cybersecurityawareness #innovation #techindustry #cyber #birminghamtech #cybersecurity #fintech #careerintech #handsworth #communitysupport #womenintech #technology #security #cloud #infosec #riskassessment #informationsecurity #auditmanagement #informationprotection #securityaudit #cyberrisks #cybersecurity #security #cloudsecurity #trends #grc #leadership #socialmedia #digitization #cyberrisk #education #Hacking #privacy #datasecurity #passwordmanagement #identitytheft #phishingemails #holidayseason #bankfraud #personalinformation #creditfraud

Check out this practical cheatsheet to prep for the Cloud DevOps portion of your interviews (with must-know concepts, tools, and use-cases) 1. Infrastructure as Code (IaC) → Tools: Terraform, CloudFormation, ARM/Bicep, Pulumi → Concepts: Declarative provisioning, version-controlled infra Use Case: Define and deploy all infrastructure (compute, network, IAM, storage) using code for consistency and automation. 2. CI/CD Pipelines → Tools: GitHub Actions, Jenkins, CodePipeline, Cloud Build → Concepts: Pipelines as Code, automated deployments Use Case: Automate building, testing, and deploying applications to cloud environments (VMs, containers, serverless). 3. Configuration & Patch Management → Tools: Cloud-Based SSMs, Ansible, Chef → Concepts: Desired state, golden images, automated patching Use Case: Manage and enforce configuration compliance across virtual machines and services at scale. 4. Cloud Container Orchestration → Services: EKS, GKE, AKS → Tools: Helm, Kustomize, App Mesh Use Case: Deploy, manage, and scale containerized applications on Kubernetes platforms with built-in monitoring and autoscaling. 5. Serverless DevOps (FaaS & BaaS) → Platforms: AWS Lambda, Firebase, AppSync → Concepts: Managed runtimes, event-driven compute Use Case: Build and deploy scalable APIs, functions, and backend services without managing servers. 6. Cloud Release Strategies → Strategies: Blue/Green, Canary, Feature Flags → Tools: Cloud Build, CodeDeploy, Spinnaker Use Case: Enable safe, progressive deployments using cloud-native traffic control methods for zero-downtime releases. 7. Cloud Observability → Tools: Cloud Monitoring, CloudWatch, Datadog etc → Concepts: Logs, metrics, traces, centralized telemetry Use Case: Monitor health and performance of cloud-native systems; troubleshoot failures and performance bottlenecks. 8. Cloud Cost Optimization (FinOps) → Tools: AWS Budgets, Azure Cost Management, Kubecost → Concepts: Cost tagging, rightsizing, auto-shutdown Use Case: Analyze and reduce cloud spend through visibility, optimization strategies, and policy-based cost controls. 9. DevSecOps for Cloud → Tools: OPA, Sentinel, AWS Config, Cloud WAF → Concepts: Secure IaC, policy enforcement, automated audits Use Case: Integrate security into every stage of the CI/CD pipeline and enforce compliance through code and automation. Instead of memorizing tools — think in use cases. My advice to study Cloud DevOps: → Understand the core building blocks (IaC, CI/CD, Containers, Serverless) → Learn how they integrate in real-world architectures - what used when? I’ll be covering these Cloud DevOps topics in depth — with examples — in this week’s newsletter (dropping Thursday) Subscribe here: https://lnkd.in/grsdxmfF • • • Found this helpful? Follow me (Vishakha Sadhwani) for more Cloud & DevOps insights and career tips

Just Completed: 150+ DevOps & AWS Interview Questions with In-Depth Answers. Interviews in this field go beyond theory—they test real-world problem-solving. So, I created a comprehensive guide of 150+ questions and answers covering: ✔ CI/CD Tools (Jenkins, GitHub Actions, GitLab CI/CD) ✔ Containers & Orchestration (Docker, Kubernetes, EKS) ✔ Infrastructure as Code (Terraform, CloudFormation) ✔ Monitoring & Observability (Prometheus, Grafana, ELK) ✔ AWS Services (EC2, S3, IAM, Lambda, VPC, etc.) ✔ Security & Networking ✔ General DevOps Practices ✔ Real-World Scenarios for modern challenges like GitOps, Multi- Cloud, Cost Optimization. ✔ Six Important Topics to Clear the 90% of the Interviewes. ✅ Serverless Computing (AWS Lambda & Event-Driven Architectures) ✅ Containerization & Microservices (Docker, Kubernetes, Service Mesh) ✅ Infrastructure as Code (Terraform, CloudFormation) ✅ Security Best Practices (IAM, Secrets Management, Zero Trust) ✅ Cloud Cost Optimization (FinOps Strategies, Scaling Techniques) ✅ Hybrid & Multi-Cloud Deployments (AWS, Azure, GCP) 📘 What’s inside? ✅ Detailed Explanations for each question ✅ Prepare Follow-up Questions with Answers for every major topic ✅ Tips to Stand Out in interviews (scenario-based approach!) #DevOpsInterviewPrep #DevOpsEngineer #CareerGrowth

Interview Questions I Faced in the Last 10 Months – Cloud/DevOps Roles (Part 1) Hi All, Over the last 10 months, I’ve attended around 13–14 interviews for Cloud Engineer and DevOps Engineer roles. It’s been a great learning experience, and I thought of sharing some of the real interview questions I faced — this might help others preparing for similar roles. But remember almost every interviewer starts asking the questions based on the introduction what you gave and on your resume — so be confident with everything you’ve mentioned in it! Networking Questions: 1. What happens in the background when you type www.google.com? 2. How does the internet work? (Explain in your perspective) 3. What is DNS and how does it work? 4. Explain the OSI model — what does each layer do? 5. Difference between TCP and UDP 6. What is the TCP 3-Way Handshake? Explain the process 7. Questions on IP addressing and CIDR Linux Questions: 1. Why is Linux preferred over Windows in most organizations? 2. How would you troubleshoot the network connectivity issue on a Linux server? 3. What does the top command do? What about disk space management? 4. Linux file management questions 5. What is inside /etc, /var directories? 6. What is SSH? How does it work? 7. Commands: ping, dig, nslookup – troubleshooting-related AWS Cloud Questions: 1. What is S3 versioning? 2. Difference between Internet Gateway and NAT Gateway? Why is NAT used? 3. Is S3 bucket region-specific or globally accessible? 4. What is an inline policy in AWS? 5. Difference between IAM Policies, Groups, and Roles 6. What is VPC Peering? What can be used if we need to connect to multiple VPCs? 7. Explain the steps to create a custom VPC manually 8. How to SSH into a private server from a public subnet without a bastion host? 9. Is CloudWatch configured by default with AWS services? 10. Difference between Security Groups and NACL (Which one is stateless?) 11. What is Lambda concurrency? 12. Advantages of Serverless architecture 13. Difference between EBS and EFS — explain with real-world use cases Git & Version Control: 1. Difference between git rebase and git merge 2. What does git cherry-pick do? 3. General Git workflow and commonly used commands. This is just Part 1 — I’ll be sharing Part 2 soon, where I’ll cover the Docker, Kubernetes, and Terraform questions I faced — including advanced, scenario-based, and hands-on questions asked during interviews. Stay tuned! #DevOps #CloudEngineer #AWS #Linux #Git #InterviewQuestions #JobSearch #Networking #CareerGrowth #DevOpsEngineer #CloudComputing #TechnicalInterviews #InterviewPrep #AWSCommunity #TechInterview #Troubleshooting

🌟 **Interview Experience of the Day: A 40-Minute Dive into Cloud and DevOps!** 🌟 Today, I had the opportunity to interview for a role that aligns perfectly with my expertise and career aspirations. The interview lasted 40 minutes and was both challenging and insightful! The interview began with the question: "Can you briefly tell us about yourself, including your role and responsibilities in your current project?" 1. What scripting languages are you familiar with? 2. What are artifacts in GitLab CI? 3. What is a private module registry in Terraform? 4. If you delete the local Terraform state file and it's not stored in S3 or DynamoDB, how can you recover it? 5. How do you import resources into Terraform? 6. What is a dynamic block in Terraform? 7. How can you create EC2 instances in two different AWS accounts simultaneously using Terraform? 8. How do you handle an error stating that the resource already exists when creating resources with Terraform? 9. How does Terraform refresh work? 10. How would you upgrade Terraform plugins? 11. What are the different types of Kubernetes volumes? 12. If a pod is in a crash loop, what might be the reasons, and how can you recover it? 13. What is the difference between StatefulSet and DaemonSet? 14. What is a sidecar container in Kubernetes, and what are its use cases? 15. If pods fail to start during a rolling update, what strategy would you use to identify the issue and rollback? 16. How can we enable communication between 500 AWS accounts internally? 17. How to configure a solution where a Lambda function triggers on an S3 upload and updates DynamoDB? 18. What is the standard port for RDP? 19. How do you configure a Windows EC2 instance to join an Active Directory domain? 20. How can you copy files from a Linux server to an S3 bucket? 21. What permissions do you need to grant for that S3 bucket? 22. What are the different types of VPC endpoints and when do you use them? 23. How to resolve an image pullback error when using an Alpine image pushed to ECR in a pipeline? 24. What is the maximum size of an S3 object? 25. What encryption options do we have in S3? 26. Can you explain IAM user, IAM role, and IAM group in AWS? 27. What is the difference between an IAM role and an IAM policy document? 28. What are inline policies and managed policies? 29. How can we add a load balancer to Route 53? 30. What are A records and CNAME records? 31. What is the use of a target group in a load balancer? 32. If a target group is unhealthy, what might be the reasons? 33. Can you share your screen and write a Jenkins pipeline? 34. How do you write parallel jobs in a Jenkins pipeline? I truly appreciated the opportunity to showcase my skills and engage with the interviewers on these important topics. A heartfelt thank you to everyone who has supported me on this journey! 🚀✨ #InterviewExperience #AWS #DevOps #Kubernetes #Terraform #CloudComputing #Learning

💬 I recently interviewed for a Senior Azure Engineer role at Blankfactor. Here are some of the questions I was asked — sharing in case it helps others preparing for Azure/DevOps interviews (round 1) 1. Azure Core Services • How have you used Azure services like Storage Accounts, SQL, Key Vault, or AKS? • How do you secure secrets in Azure? 2. Infrastructure as Code • Do you have experience bringing existing resources (like an S3 bucket) into Terraform code? • How would you handle an environment where infrastructure was provisioned manually and now needs to be codified with Terraform? 3. Kubernetes & Containers • How did you provision Kubernetes clusters in AKS vs EKS? • What’s the difference between ECS and Kubernetes in terms of abstractions? • How did you bootstrap your Kubernetes cluster? • Did you build or use any Operators in Kubernetes? 4. CI/CD & Pipelines • Can you describe a CI/CD pipeline you built? • What pipeline tools have you used (e.g., Jenkins, GitLab CI, CircleCI, Spinnaker)? 5. Environments • How many environments did you manage (dev, staging, prod)? • How did you maintain consistency across environments? • What’s your strategy if releases happen only once a month? 6. Scalability & Reliability • How did you prepare e-commerce platform for high traffic events like Black Friday? • Can you describe the e-commerce application architecture (front end, back end, database)? 7. Open-ended / Scenario Questions • If you had a personal HTML page on your laptop and wanted to serve it publicly via a domain, how would you do it? • If asked to deploy a microservice across environments on Kubernetes, what steps would you take?

In Cloud Architecture interviews, your architecture must reflect not just what’s possible—but what’s optimal, secure, and scalable. ✅ 1. Start with the Architecture Decision Record (ADR) Maintain a living document that captures: Trade-offs and rationale Stakeholder alignment Risk mitigation strategies ✅ 2. Apply CAF + WAF with L300/L400 Depth Use the Cloud Adoption Framework (CAF) and Well-Architected Framework (WAF) pillars to guide: Landing zone design (networking, identity, policy-as-code) Resiliency modeling (multi-zone, multi-region, DR) Observability (Azure Monitor, Log Analytics, Application Insights) ✅ 3. Design for Multi-Tenant and Multi-Cloud Realities Architect with: Azure Arc for hybrid governance AVS for VMware workloads Semantic Kernel and Agent Services for GenAI extensibility ✅ 4. Prioritize Data Gravity and Processing Locality Consider: Where data is generated vs. processed Use of Fabric Lakehouse vs. Synapse Pools Edge processing with IoT Hub + Stream Analytics ✅ 5. Embed Security and Governance from Day 0 Design with: Defender for Cloud, Key Vault, RBAC, PIM Purview for lineage and classification Policy-as-code for compliance enforcement ✅ 6. Optimize for FinOps and Sustainability Architect with: Cost tagging and budgeting Reserved instances and autoscaling Sustainability scorecards and telemetry 💬 Pro Tip: Practice defending your design under scrutiny. “Why did you choose Fabric over Synapse for this workload?” “How does this design ensure resiliency during peak load?”