Book 1

Cloud Platforms: AWS, Azure & GCP Interview Questions

50 questions · 8 chapters · 188 pages · 2026 edition

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Inside

8 chapters · 50 questions

Chapter titles and question wording are taken from the book itself. Open a chapter to see its first questions.

Chapter 1: Multi-Cloud & Hybrid Cloud Strategy13 questions
- When would you recommend a hybrid or multi-cloud strategy, and when is it a mistake?
- Google retired Deployment Manager. How would you migrate a multi-region GCP estate to Infrastructure Manager without breaking Cloud Interconnect or VPC peering?
- Design disaster recovery that spans AWS and Azure with Terraform. How do you keep the two stacks consistent without doubling the bill?
- and 10 more
Chapter 2: AWS Services & Architecture7 questions
- How would you design an AWS architecture that survives the loss of an entire region?
- Your error rate just spiked across every service you run in us-east-1. Walk me through your first 30 minutes.
- How would you build a serverless event-driven architecture where Lambda functions reach private APIs in a VPC, without NAT gateways?
- and 4 more
Chapter 3: Azure & GCP Services4 questions
- How would you design a Pub/Sub pipeline on GKE that handles a million messages per second exactly once?
- How does GCP's global load balancer serve worldwide users from one anycast IP?
- Your serverless p99 spikes to 10 seconds under bursty load. Walk me through cold-start mechanics and fixes.
- and 1 more
Chapter 4: Cloud Networking & Security7 questions
- 100M users, six continents, a 50 ms latency budget: design the DNS, load balancing, and CDN stack.
- How would you design resilient network connectivity between an on-premises datacenter and the cloud?
- How do you design a cloud networking architecture that scales to hundreds of VPCs?
- and 4 more
Chapter 5: Cost Optimization & FinOps4 questions
- How would you cut a cloud bill by 30% without hurting reliability?
- How would you attribute a shared cloud bill to the teams that actually spend it?
- How would you cut AI/ML infrastructure costs without sacrificing training throughput or inference latency?
- and 1 more
Chapter 6: Disaster Recovery & High Availability5 questions
- What are the key trade-offs in disaster recovery planning?
- How would you design cross-region replication for a system that has to survive a regional outage?
- How would you design a multi-region active-active data layer for 99.999% availability, and how would you resolve write conflicts?
- and 2 more
Chapter 7: Serverless & Containers6 questions
- How would you design a serverless e-commerce platform that absorbs a 1000x Black Friday traffic spike?
- How would you choose between EKS, AKS, and GKE for a new production platform?
- Your team of four runs fifteen microservices on Kubernetes. Would you move them to serverless containers?
- and 3 more
Chapter 8: Emerging & Advanced Topics4 questions
- The nearest region is 60 ms away and your latency budget is 20 ms: where does compute go?
- How do you choose a database for a new service: relational, key-value, document, graph, or vector?
- Our object storage bill doubled in a year. Design a tiering and lifecycle strategy that actually saves money.
- and 1 more

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Format: PDF, readable on any device. 188 pages, about 38 MB.
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Sample question

From chapter 1

From Book 1, Ch. 1Mid-Senior · Architecture · Cloud Strategy

When would you recommend a hybrid or multi-cloud strategy, and when is it a mistake?

What this tests

Whether your architecture decisions start from business drivers like residency, negotiating position, or best-of-breed services, and whether you have the judgment to recommend a single cloud when no driver exists.

30-second answer

Hybrid means pairing on-prem infrastructure with public cloud; multi-cloud means running more than one public provider. I'd only recommend either with a concrete driver: a regulator demanding data residency, a workload pinned to legacy hardware, or one provider's clearly better service: BigQuery for analytics is the classic case. The default for most companies is one primary cloud, because every extra platform multiplies IAM models, networking, and on-call skills. And cross-cloud traffic rides internet egress at roughly $0.09/GB on AWS, so I'd colocate compute with data from day one.

Recall hook

Multi-cloud is a driver, not a default.

Follow-ups in the book

How would you actually run Kubernetes across AWS and GCP with failover?
Doesn't Kubernetes make the clouds interchangeable?
How do you keep multi-cloud spend visible and under control?

In the book this question runs three pages: it adds a deep dive with a diagram, a decision framework, a pitfalls table and a worked answer to each follow-up.

About this book

Senior-level multi-cloud interview preparation across AWS, Azure, and GCP: 50 questions answered the way a senior engineer actually would. Covers multi-cloud architecture and tradeoffs, core compute and storage services, networking and cloud security, identity and access, cost optimization and FinOps, serverless, and disaster recovery and high availability.

Who this ebook is for

DevOps engineers, cloud engineers, and architects preparing for interviews that compare AWS, Azure, and GCP services and design tradeoffs.

Topics covered

AWS · Azure · GCP · Multi-Cloud · Cloud Architecture · Interview

How every question is answered

1What the interviewer is really testing
2A 30-second answer you can say out loud
3A deep dive with a diagram
4A decision framework for the tradeoffs
5Pitfalls to avoid and signals of seniority
6Three follow-up questions, each answered
7A one-line recall hook

Every question runs three pages in this layout. Read an answer excerpt from this book or download the free 8-question PDF sample (from Cloud Platforms).

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