cloudinterviewprep.com · cloud & agentic systems

Design for the outage.
Defend the tradeoff.

CloudInterviewPrep is built to be the best place on the web to prepare for a cloud interview: architecture, Kubernetes, networking, security, reliability and cost, and the agentic AI systems now running on top of them. Learn the reasoning a senior interviewer pushes on, not a list of service names.

Free to read. No account, no paywall, no email gate.
Every answer names its assumptions.

The question behind every design What breaks first?
Multi-region cloud architecture Clients reach an edge and a global load balancer that routes to a primary region with two availability zones. A standby region holds an asynchronously replicated database. An agent runtime sits underneath both regions. Clients Edge · CDN · WAF Global load balancer REGION A · PRIMARY AZ-1 AZ-2 api worker api worker Primary database SYNC ACROSS ZONES REGION B · STANDBY AZ-1 AZ-2 api api SCALED TO ZERO? Read replica PROMOTE ON FAILOVER ASYNC REPLICATION · LAG = YOUR RPO Agent runtime TOOLS · QUEUES · MODEL ENDPOINTS
Every cloud design question becomes a failure question. Where is the state, how far behind is the copy, and who decides to promote it?
01 / The territory

Eight tracks.
One way of reasoning.

A cloud interview moves between layers in minutes: a DNS question becomes a failover question, then a cost question. Prepare across all of them, in the order interviewers usually connect them.

See all 40 questions
Track 01

Cloud architecture & system design

Turn vague requirements into a design you can defend under failure.

  • Availability zones and regions
  • Caching, queues, back-pressure
  • Consistency and replication
  • Multi-tenant isolation
System design guide
Track 02

Compute, containers & Kubernetes

Know what the scheduler decides for you, and when it decides badly.

  • VMs, containers, serverless
  • Requests, limits, autoscaling
  • Rollouts and pod disruption
  • Cold starts and capacity
Compute questions
Track 03

Networking & traffic

Follow a packet from a browser to a private database and back.

  • VPC and CIDR planning
  • DNS, L4 and L7 load balancing
  • Private connectivity and peering
  • Egress paths and NAT
Networking questions
Track 04

Identity, security & compliance

Least privilege that still lets the team ship.

  • IAM and workload identity
  • Keys, envelope encryption, secrets
  • Guardrails across accounts
  • Audit and data residency
Security questions
Track 05

Data & storage

Choose the store from the access pattern, not the brand.

  • Object, block and file
  • Relational, key-value, analytical
  • Partitioning and hot keys
  • Backups you have restored
Data questions
Track 06

Reliability & observability

Set the objective, spend the budget, find the cause.

  • SLOs and error budgets
  • Metrics, logs and traces
  • Incident response
  • Disaster recovery, RTO and RPO
Reliability questions
Track 07

Cost & FinOps

Price the design before the interviewer does.

  • Unit economics per request
  • Commitments, spot, rightsizing
  • Data transfer and egress
  • Showback and ownership
Cost questions
Track 08 · New round

Agentic systems & AI infrastructure

Run models and agents as production cloud workloads.

  • Agent runtimes and tool gateways
  • Identity and sandboxing for agents
  • Model endpoints and GPU capacity
  • Evaluation, tracing and cost
Agentic systems guide
02 / The new round

The agent is a workload.
Interview it like one.

Agentic systems put a planner in the request path. Its credentials, retries, spend and blast radius are all cloud problems, and interviews for cloud, platform and AI infrastructure roles increasingly include them.

Read the agentic systems guide
Agentic system on cloud infrastructure An agent runtime runs a plan, act and observe loop inside a boundary of policy, budget and human approval. It calls a model endpoint, reaches business systems only through a tool gateway with scoped credentials, keeps state in a durable workflow store, and emits traces for evaluation and cost. POLICY · BUDGET · APPROVAL Agent runtime PLAN → ACT → OBSERVE Model endpoint QUOTA · GPUS Tool gateway MCP · SCOPED CREDS Trigger Your systems APIS · DATA Durable state WORKFLOW · MEMORY Evals & traces SPANS · COST
The agent never holds the keys to your systems. Every tool call crosses the same boundary: policy, budget, and a human when the action can't be undone.
  1. 01

    Whose credentials does the agent act with?

    Short-lived, task-scoped credentials from workload identity, issued on behalf of a user where the action is theirs. A shared admin key fails this question.

  2. 02

    A tool call timed out. Did the side effect happen?

    Idempotency keys, durable execution, and compensating actions. Retrying a payment because a socket closed is how agents double-charge.

  3. 03

    One request fans out into forty model calls. Who notices?

    Per-task step and token budgets, tracing attributed by tenant, and a cheaper model for steps that don't need the large one.

  4. 04

    The agent can run code. Where?

    In an ephemeral sandbox with a hardened kernel boundary, no ambient credentials, and network egress denied unless allowlisted.

  5. 05

    How do you know version two is better?

    A fixed evaluation set, graded traces, and a canary with a rollback gate. If you only read sample outputs, you don't know.

03 / On the whiteboard

The prompt is one line.
The follow-ups go deep.

Interviewers rarely want the diagram. They want to watch you find the assumption that breaks it. Here is a typical first question and the reasoning it is really testing.

Reliability · Worked case

Region A just went dark.
What do your users see?

You run an active-passive service: primary in Region A, a standby in Region B with an asynchronously replicated database. The primary region becomes unreachable at peak traffic. Walk through the next fifteen minutes.

Work through the full case
failover / the first fifteen minutes
  1. Detection. Health checks fail, but who decides it is a regional outage and not a flapping probe? Automatic failover on a false positive is its own incident.
  2. Traffic. A global load balancer shifts quickly. DNS-based failover waits on record TTLs and on resolvers that ignore them.
  3. Capacity. Was Region B warm, or scaled down to save money? Check quotas there before you need them.
  4. Data. Writes not yet replicated are gone or stranded. That window is your RPO, whether anyone agreed to it or not.
  5. Fencing. Promote the replica, then make sure the old primary cannot accept writes when it comes back.

Follow-up: Region A returns forty minutes later holding writes that never replicated. What do you do with them?

04 / Who it's for

Six roles.
One shared core.

Every cloud role is tested on the same fundamentals. What changes is where the interviewer spends the time and how deep they go.

Build & operate

Cloud engineer

Hands-on infrastructure: networking, IAM, infrastructure as code, and debugging a broken deployment while someone watches.

networkingIaCtroubleshooting
Design & advise

Solutions architect

Whiteboard designs under business constraints, migration plans, and explaining a tradeoff to someone who owns the budget.

system designmigrationcost
Paved roads

Platform & DevOps engineer

Kubernetes internals, CI/CD, multi-tenant clusters, and the developer experience of everything you build.

kubernetesci/cdmulti-tenancy
Keep it up

Site reliability engineer

SLOs, incident command, capacity planning, and the postmortem question about what you would change.

slosincidentsobservability
Least privilege

Cloud security engineer

Identity design, detection, encryption and key management, and threat-modelling a system you have not seen before.

iamkmsthreat modelling
Customer-facing

Customer, sales & forward deployed engineer

Design with a customer in the room: discovery, a credible architecture, and an honest answer when the product doesn't fit.

discoveryarchitectureagents
05 / Concept first, provider second

Same idea.
Three product names.

Interviewers at one provider will happily accept an answer framed in another provider's terms, as long as the concept is right. Learn the idea once and translate it.

Equivalent cloud services across AWS, Google Cloud and Microsoft Azure
ConceptAWSGoogle CloudMicrosoft Azure
Private networkAmazon VPC (regional)VPC network (global, regional subnets)Virtual Network (regional)
Identity for workloadsIAM roles, EKS Pod IdentityService accounts, Workload Identity FederationManaged identities, Entra Workload ID
Object storageAmazon S3Cloud StorageBlob Storage
Managed KubernetesAmazon EKSGoogle Kubernetes EngineAzure Kubernetes Service
Serverless containersAWS Fargate, App RunnerCloud RunAzure Container Apps
FunctionsAWS LambdaCloud Run functionsAzure Functions
MessagingSQS, SNS, EventBridgePub/Sub, EventarcService Bus, Event Grid
Globally distributed databaseDynamoDB global tables, Aurora DSQLSpannerAzure Cosmos DB
Key managementAWS KMSCloud KMSAzure Key Vault
Managed models & agentsAmazon Bedrock, Bedrock AgentCoreVertex AI, Vertex AI Agent EngineMicrosoft Foundry, Foundry Agent Service

Service names as of October 2026. Equivalents are close, not identical. The differences, such as a global versus a regional network, are good interview material in their own right.

The standard we hold ourselves to

You should be able to
check the reasoning.

Cloud interview advice is full of confident lists. We would rather show the work: what the question is testing, which assumption the answer depends on, and what would change it.

Assumptions statedEvery answer says what load, budget and failure model it assumes.
Concept before productProvider names appear only after the idea is clear.
Dated factsLimits, prices and service names change. We date them.
No invented interviewsWe never claim a question was asked at a named company.
06 / Questions about the site

Frequently asked

What is CloudInterviewPrep?

CloudInterviewPrep (cloudinterviewprep.com) is an interview preparation site for cloud roles. It covers cloud architecture and system design, compute and Kubernetes, networking, identity and security, data, reliability, cost, and the agentic AI systems that now run on cloud infrastructure. Each question explains what the interviewer is testing and how a strong answer reasons through the tradeoffs.

Which roles is CloudInterviewPrep for?

Cloud engineers, solutions architects, platform and DevOps engineers, site reliability engineers, cloud security engineers, and customer-facing technical roles such as customer engineers, sales engineers and forward deployed engineers. Engineers moving into AI infrastructure and agent platform work will find a dedicated agentic systems track.

Is the material specific to AWS, Google Cloud or Azure?

The material teaches the concept first and the provider second. Interviewers at cloud providers and cloud-native companies test whether you understand failure domains, identity, networking and cost, not whether you can recite a product catalogue. Where provider names matter, a mapping table translates the same concept across AWS, Google Cloud and Microsoft Azure.

What is an agentic systems interview?

An agentic systems interview asks you to design, operate or debug software in which a language model plans and calls tools to complete a task. On the cloud side, the questions are about identity and credentials for agents, sandboxed code execution, durable workflows and idempotent tool calls, cost and token budgets, evaluation, tracing, and the GPU or model-endpoint capacity behind it all.

How should I prepare for a cloud system design interview?

Practise one repeatable sequence: clarify requirements and service-level objectives, estimate load, choose data stores by access pattern and consistency need, place the design across zones and regions, then walk through failure, security and cost. Interviewers reward candidates who name the tradeoff they are making and say what would change their mind. The cloud system design guide walks through the sequence with a worked example.

Is CloudInterviewPrep free?

Yes. Everything published on cloudinterviewprep.com today is free to read, with no account and no email required.

From knowing the services to owning the design

Your next interview starts with a harder question.