How would you design a highly available, fault-tolerant web application on AWS?

Start by describing the high-level components you would use and why, including multi-AZ deployments, load balancers, auto scaling groups, and managed services where appropriate. Explain how you would separate tiers, place stateless application servers behind an Application Load Balancer, and use managed databases with multi-AZ failover to reduce operational overhead. As an example, describe a 3-tier design: ALB in front of EC2 or ECS tasks across multiple AZs, RDS with multi-AZ for relational data, and S3 for static assets. Discuss health checks, session handling with ElastiCache or sticky sessions only when necessary, and how DNS failover with Route 53 can route traffic during region issues. Mention trade-offs and gotchas to avoid, such as depending on single-AZ components, not testing failover, or neglecting replication lag. Call out cost implications and the need to run regular DR drills and automated recovery tests to validate your design.

Explain the differences between Amazon S3, EBS, and EFS and when to use each.

Answer by stating each service purpose: S3 is object storage for durable, highly available archives and static content, EBS is block storage attached to a single EC2 instance for low-latency disks, and EFS is a network file system for shared access across instances. Clarify performance tiers and access patterns, such as S3 for read-heavy static assets, EBS for single-instance databases or boot volumes, and EFS for shared content or lift-and-shift file workloads. Give a concrete scenario: use S3 for storing user uploads with lifecycle policies, EBS for an EC2-hosted database with provisioned IOPS, and EFS for a web farm that needs shared configuration files. Highlight cost and performance trade-offs, including EBS snapshot overhead, S3 eventual consistency on overwrite in certain APIs, and EFS throughput modes. Warn against common mistakes like treating EBS as a shared disk across instances or using EFS for high IOPS single-writer workloads when Provisioned IOPS on EBS would be better. Recommend monitoring and lifecycle management to control costs and maintain performance.

How do you secure AWS resources and ensure least privilege?

Start with identity best practices: use IAM roles for services, MFA for privileged users, and role-based access with least privilege policies. Explain how you would break down permissions into small, testable policies and prefer granting access to roles rather than long-lived user keys. Provide an example of securing an application deployment pipeline by giving CI/CD systems a narrowly scoped role that can read S3 artifacts and update specific CloudFormation stacks. Mention using AWS Organizations SCPs to enforce guardrails, AWS Config to audit drift, and CloudTrail for auditing who did what. Alert against over-permissive wildcards and unchecked root account usage, and recommend periodic permission reviews and automated policy simulations with IAM Access Analyzer. Emphasize encryption at rest and in transit with KMS, TLS, and key rotation policies.

Describe the AWS Well-Architected Framework and how you use it.

Explain the five pillars: operational excellence, security, reliability, performance efficiency, and cost optimization, and how they guide architectural trade-offs. Describe using the framework as a checklist during design reviews and as a lens for post-launch audits to identify improvement areas. Give an example where you run a Well-Architected review before a major migration, documenting risks like single points of failure and high-cost resources, then prioritize remediations by business impact. Mention using AWS Trusted Advisor and Well-Architected Tool to capture findings and track improvements. Advise against treating the framework as a checkbox exercise; instead, run iterative reviews tied to measurable goals and timelines. Recommend documenting trade-offs and stakeholder sign-off when you deliberately accept a risk for a valid business reason.

How would you migrate an on-premise relational database to AWS?

Outline a migration approach covering assessment, schema and data migration, testing, cutover, and post-migration validation. Choose options like AWS Database Migration Service for live migration with minimal downtime, or snapshot and restore for simple lift-and-shift scenarios, and explain how you would size the target RDS instance or Aurora cluster. Provide a concrete sequence: take schema snapshot, run DMS in full load then CDC mode, verify referential integrity and performance on a staging environment, and plan a cutover window with rollback steps. Discuss replication lag monitoring, network bandwidth considerations, and how to handle large tables with chunked loads. Warn about common pitfalls, such as ignoring character set differences, stored procedure compatibility, or application connection string changes. Recommend thorough performance testing and a runbook for rollback and validation after cutover.

Explain how Auto Scaling and Elastic Load Balancing work together.

Describe the roles: ELB distributes incoming traffic across healthy targets, while Auto Scaling adds or removes instances or tasks based on defined policies to meet demand. Explain health checks, scaling policies tied to CloudWatch metrics, and target tracking strategies to maintain steady performance. Give an example using ALB with an Auto Scaling group and target tracking policy based on average CPU or request count per target, and explain how scale-out triggers add instances which register with the ALB. Discuss cooldown periods, graceful deregistration, and warm-up strategies for new instances to avoid over-scaling. Point out common configuration mistakes like misconfigured health checks causing premature termination, or too-aggressive scaling policies that create thrash. Recommend testing scaling scenarios with load tests and tuning metrics, thresholds, and instance startup scripts for faster readiness.

How do you design cost-optimized architectures on AWS?

Start with cost as a design metric: right-size resources, prefer managed services when they lower operational cost, and use reserved instances or savings plans for steady-state workloads. Explain tagging for cost allocation, and using AWS Cost Explorer and budgets to track and alert on spend anomalies. Illustrate with a migration example where you moved from on-prem VMs to ECS Fargate for unpredictable workloads to reduce baseline infrastructure cost, and reserved RDS instances for predictable database usage. Discuss lifecycle policies for S3, downscaling non-production environments outside business hours, and autoscaling to match demand. Warn against cutting reliability or security to save money without quantifying the risk. Recommend running a cost-benefit analysis for each optimization and automating routine cost-saving actions, such as stopping idle resources and cleaning unattached EBS volumes.

What is a VPC and how do you design subnetting, routing, NAT, and security groups versus NACLs?

Define a VPC as an isolated virtual network where you control IP ranges, subnets, route tables, and gateways, and outline the difference between public and private subnets. Explain NAT gateways for outbound internet access from private subnets, route tables for traffic flow, and Internet Gateways for public-facing resources. Give a design example: place public ALBs in public subnets, application servers in private subnets across multiple AZs, and databases in isolated private subnets with no internet route. Clarify that security groups act as stateful host-level firewalls and NACLs are stateless subnet-level filters, and recommend using security groups for most access controls and NACLs for extra coarse-grained protection. Point out pitfalls like relying on a single NAT gateway in one AZ without redundancy, or putting too much logic into NACLs which can become hard to manage. Recommend documenting IP plans, automating VPC provisioning with IaC, and testing connectivity and failover scenarios.

How do you handle backup and disaster recovery in AWS?

Begin with an RTO/RPO-driven strategy and pick appropriate AWS services, like snapshots for EBS, automated backups for RDS, cross-region replication for S3, and AWS Backup for centralized policies. Explain tiered recovery plans ranging from pilot light to warm standby and multi-region active-active setups for critical applications. Offer an example where you run nightly EBS snapshots retained for a month, enable automated RDS backups with PITR, replicate S3 buckets cross-region for durability, and test restores monthly. Discuss use of AWS Backup for consistent policy application and AWS Config to ensure backup policies remain enabled. Warn that simply taking backups is not enough, you must test restores and measure recovery time to meet SLAs. Recommend automating restore tests in a sandbox, documenting runbooks, and updating recovery plans after architecture changes.

Explain how you use Infrastructure as Code with CloudFormation or Terraform for AWS deployments.

Start by stating the benefits: repeatable, auditable deployments and reduced manual configuration drift, and choose a tool based on team skill and ecosystem needs. Describe using modules or nested stacks to encapsulate reusable components, parameterizing environments, and integrating IaC into CI/CD pipelines for automated provisioning. Provide an example workflow where you create a Terraform module for a VPC and reuse it across dev, staging, and prod with different input variables, run plan and apply through CI, and store state securely in remote backends. Mention using CloudFormation for deep native integration like Change Sets and StackSets when managing cross-account resources. Caution about not checking in secrets into templates and handling state locking and drift detection. Recommend peer review for infrastructure changes, automated plans in pull requests, and periodic audits to catch drift or unintended resource creation.

Tell me about a time you designed a system under a tight deadline.

Situation: On a previous project you had two weeks to design and deliver a proof-of-concept for a scalable web service to win a customer pilot. Task: Your responsibility was to produce a secure, repeatable architecture that could handle expected load and be demonstrated end to end. Action: You prioritized core requirements, chose managed services to reduce build time, created a minimal infrastructure as code template, and ran a focused set of tests to validate performance. You coordinated daily check-ins with the team, trimmed nonessential features, and documented rollback steps to reduce risk during deployment. Result: The team delivered the POC on time, the demo met performance targets, and the customer moved to a paid pilot, increasing pipeline value by a measurable amount. You learned the value of slicing scope and relying on proven managed services to hit aggressive timelines.

Describe a time you convinced stakeholders to adopt a new architecture or practice.

Situation: Your organization had an aging monolithic app and leadership was hesitant to invest in re-architecting to microservices due to perceived risk. Task: You needed to build a business case and pilot a migration approach that reduced risk and showed measurable benefits. Action: You ran a small pilot for a single bounded context, measured deployment frequency, latency, and operational costs before and after, and presented the results with clear metrics and a phased migration plan. You addressed concerns by including a rollback strategy and showing how automation would lower operational load. Result: Stakeholders approved a staged migration, the pilot reduced incident recovery time by a notable percentage, and the team adopted the new practice for subsequent services. The experience reinforced that data-driven pilots and clear rollback plans reduce resistance to change.

Tell me about a time you responded to a major production outage.

Situation: During a peak period an application experienced a cascading failure due to a misconfigured autoscaling policy and a database connection storm. Task: As the on-call architect you needed to restore service quickly and prevent recurrence. Action: You led the incident response, shifted traffic to healthy instances via Route 53 failover, scaled read replicas to absorb load, and applied a temporary throttling rule at the load balancer. After recovery you ran a blameless postmortem, identified the root cause in the scaling policy and connection pooling, and implemented fixes including connection limits and improved monitoring. Result: The service returned to normal within the incident SLA, and follow-up actions reduced similar incidents by a measurable amount over the next quarter. You documented the runbook and automated alert thresholds to detect recurrence earlier.

What is eventual consistency versus strong consistency, and where do you see each in AWS?

Explain that strong consistency guarantees read-after-write visibility across all readers, while eventual consistency means replicas converge over time and recent writes may not be immediately visible. Point out S3 read-after-write semantics are strong for new objects but certain overwrite scenarios and regional replication can be eventual, while DynamoDB offers both eventual and transactional strong consistency options. Give a use case: use eventual consistency for read-heavy caches where slight delay is acceptable, and require strong consistency for financial ledger updates or inventory counts where correctness matters. Mention monitoring for replication lag and designing idempotent operations to reduce issues caused by eventual consistency. Warn about assuming immediate visibility in distributed systems and recommend testing your chosen consistency model under load. Implement compensating logic or use transactions when atomicity and immediate consistency are required.

How does AWS IAM policy evaluation work and what are common pitfalls?

Describe that IAM evaluates policies by collecting all applicable policies, checking for explicit denies, and then evaluating allows, with denies taking precedence. Explain that policies can come from identity-based policies, resource-based policies, permission boundaries, SCPs, and session policies, and the intersection of these determines effective permissions. Provide an example where a role has an allowed S3 action but an SCP or permission boundary blocks the same action, leading to unexpected access denials during testing. Recommend using the IAM policy simulator and Access Advisor to validate and refine policies before production rollout. Caution about over-permissive wildcard policies, forgotten SCPs in organizations, and long-lived user keys. Advise automating policy reviews and using short-lived role credentials for services and humans.

What are the options for cross-region replication for S3 and RDS and when would you use them?

Explain that S3 supports cross-region replication (CRR) for objects, which is asynchronous and useful for compliance, lower-latency reads in another region, or disaster recovery. For RDS, options include read replicas in another region for MySQL/Postgres or using native database-level replication tools and snapshot copy for other engines, keeping in mind RDS cross-region replicas can be promoted to standalone databases for DR. Give an example of using S3 CRR to keep static assets available in a secondary region and RDS cross-region read replicas to offload read traffic while providing a path for failover. Discuss replication lag concerns and the need for careful failover procedures and DNS updates during recovery. Warn about cost and consistency implications, including storage and transfer costs for CRR and promotion steps for RDS replicas. Test your recovery plan and measure RPO and RTO to ensure the replication approach meets business needs.

How do you set up VPC peering and what are its limitations?

Describe VPC peering as a networking connection that lets VPCs route traffic privately using private IPs, and outline the basic steps: create a peering connection, accept it, and update route tables and security groups. Emphasize that peering is non-transitive, so traffic does not automatically flow through a third VPC, and peering works across accounts and regions with appropriate options. Provide a use case where you peer a shared services VPC to multiple application VPCs for centralized logging, noting you must update each route table and manage security groups carefully. Mention alternatives like Transit Gateway for many-to-many connectivity when scale or transitive routing is needed. Highlight common pitfalls such as overlapping CIDR blocks preventing peering, forgetting to open security group rules, and assuming transitive routing is supported. Recommend planning IP addressing and using automation for consistent route and security rule application.

How would you secure data at rest and in transit on AWS?

State the principles: encrypt data at rest with KMS-managed keys or customer-managed keys, and encrypt data in transit with TLS endpoints and secure protocols. Explain choosing KMS key policies and IAM permissions carefully, enabling encryption options on services like RDS, EBS, and S3, and using ACM for managing TLS certificates for your load balancers and APIs. Give an example: enable RDS encryption with KMS, enable default S3 encryption with an S3 bucket policy, and put an ALB in front of your services using certificates from ACM. Discuss rotating keys, enforcing TLS 1.2 or higher, and monitoring encryption usage with CloudTrail and Config rules. Warn against storing unencrypted secrets in plain text or embedding keys in code. Recommend using Secrets Manager or Parameter Store for secret management and automating rotation for long-lived credentials.

Can you describe how CloudFormation Change Sets or Terraform plans help prevent accidental infrastructure changes?

Explain that a Change Set or Terraform plan shows proposed changes before they are applied, enabling you to review resource replacements, deletions, and updates to avoid surprises. Describe integrating these preview steps into CI pipelines and requiring peer approvals for applies to ensure intentional infrastructure changes. Offer an example where a plan revealed an unintended replacement of a database resource due to a parameter change, allowing the team to adjust the template and avoid downtime. Suggest using drift detection and state locking to maintain consistency and prevent concurrent changes. Caution that a plan may not catch runtime impacts like configuration changes inside the OS, so include smoke tests post-deploy. Encourage small, incremental changes and clear rollback procedures for production infrastructure updates.

aws solutions architect Interview Questions: Complete Guide

Prepare for aws solutions architect interview questions by practicing system design, AWS service trade-offs, and behavioral scenarios. Expect a mix of whiteboard architecture, scenario-based problem solving, and questions about security and cost. Be honest about gaps, show your decision process, and focus on clear, practical answers.

Common Interview Questions

Behavioral Questions (STAR Method)

STAR Method: Structure your answers using Situation, Task, Action, and Result to tell compelling stories about your experience.

Technical Questions

Questions to Ask the Interviewer

Show your interest by asking thoughtful questions

•What does success look like in this role after the first six months and what measurable outcomes would you expect?
•Can you describe the team structure, the primary stakeholders, and how this role collaborates with SRE and security teams?
•What are the biggest technical challenges the team is facing right now and where would I be expected to contribute immediately?
•How do you approach architecture reviews and what level of documentation and diagrams does the team expect for new designs?
•What is the deployment cadence and what tooling or CI/CD practices do you use for infrastructure changes?

Interview Preparation Tips

Practice whiteboard system design by sketching multi-AZ architectures and explaining trade-offs out loud with a peer. Keep answers structured: state the requirement, constraints, proposed solution, and trade-offs.

Prepare 2-3 real project stories that highlight architecture decisions, measurable outcomes, and learnings, and practice them using the STAR format. Quantify results when possible to make impact clear.

Study core AWS services and their limits, but emphasize design patterns and trade-offs rather than memorizing undocumented numbers. Bring diagrams and be ready to iterate on them during the interview.

Run mock interviews focused on case studies and hands-on troubleshooting, and review your cloud costs and security posture from a past project to discuss concrete optimizations you made. Be honest about gaps and explain how you would learn or test assumptions quickly.

Overview

This guide prepares you for AWS Solutions Architect interviews by focusing on the real tasks architects solve: designing resilient systems, controlling costs, and meeting security requirements. Expect three interview formats: phone screen (20–30 minutes), technical deep dive (45–60 minutes), and architecture whiteboard (30–45 minutes).

Employers typically probe cloud design patterns, troubleshooting steps, and trade-offs between availability, performance, and cost.

Concrete examples you should know: migrating 100 on-premises servers to AWS while reducing monthly costs by ~20%; designing an e-commerce backend to support 100,000 monthly visitors with <200 ms latency; achieving 99. 95% uptime with Multi-AZ deployments and automatic failover.

In addition, interviewers will ask behavioral questions about past projects, such as leading a lift-and-shift or implementing encryption for data at rest.

Preparation plan (30 days):

•Days 1–10: review core services (EC2, S3, RDS, VPC, IAM) and run 10 hands-on labs.
•Days 11–20: practice architecture questions and design 5 sample systems.
•Days 21–30: take 3 timed mock interviews and polish explanations for trade-offs.

Actionable takeaway: map each service to one real use case and prepare one concise story showing measurable impact (e. g.

, reduced latency by 40%).

Key Subtopics and Sample Questions

Break the role into focused subtopics. For each area, practice 2–4 concrete scenarios and prepare numbers, constraints, and a short design sketch.

•Focus: EC2 instance types, Auto Scaling groups, AWS Lambda concurrency.
•Sample question: "Design compute to handle 1,000 concurrent users with 95% request success." Expect to describe instance sizing, Auto Scaling policies, and latency targets.

•Focus: S3 class selection (Standard vs. Infrequent Access), EBS vs. instance store, transfer acceleration.
•Sample: "Store 5 TB of logs with infrequent access and 99.9% durability." Show lifecycle rules and cost per GB trade-offs.

•Focus: subnets, NAT, Transit Gateway, route tables, peering.
•Sample: "Connect 3 regions with minimal cross-region latency and secure traffic." Provide CIDR planning and latency-aware routing.

•Focus: RDS Multi-AZ, read replicas, DynamoDB throughput, backups.
•Sample: "Support 10,000 reads/sec with sub-10 ms latency." Suggest read replicas or DynamoDB provisioned capacity.

•Focus: IAM roles, KMS encryption, Security Groups, WAF.
•Sample: "Lock down an API with least privilege and protect against SQL injection." Include specific policies and WAF rules.

•Focus: CloudWatch metrics, X-Ray traces, CloudTrail logs.
•Sample: "Diagnose a sudden 30% error spike." Describe logs, alerts, and rollback steps.

•Focus: Reserved Instances, Savings Plans, right-sizing.
•Sample: "Cut monthly spend by 25% without reducing capacity." Explain Reserved Instances and autoscaling schedules.

Actionable takeaway: prepare one short architecture for each subtopic that includes components, estimated cost, and an acceptance metric (e. g.

, latency, RPO/RTO).

Study Resources and Hands-On Practice

Use a mix of official docs, focused courses, hands-on labs, and mock interviews. Allocate time: 40 hours hands-on, 30 hours reading, 10 hours practice questions, 10 hours mock interviews.

Official documentation and whitepapers

•AWS Well-Architected Framework: read the 5 pillars and sample questions.
•AWS Security Best Practices and the Shared Responsibility Model: learn specific controls and KMS usage.

Courses and guided labs

•AWS Skill Builder: free role-based learning paths for the Solutions Architect role.
•Qwiklabs: complete 15 labs that include VPC, RDS, and Serverless patterns.
•One paid course (e.g., A Cloud Guru or Coursera) with at least 20 hours of content and practice exams.

Books and exam practice

•Recommended read: an architecture-focused AWS exam guide (pick latest edition) and take 3 full-length practice exams under timed conditions.
•Aim to score 80%+ on practice tests before interviews.

Project-based practice (build 3 projects)

•Static website with CloudFront + S3.
•Serverless API using API Gateway + Lambda + DynamoDB handling 1,000 requests/minute.
•Multi-AZ web app with ALB, Auto Scaling, RDS Multi-AZ, and VPC peering.

Interview prep platforms

•Pramp or Interviewing.io for mock technical interviews and whiteboard practice.

Actionable takeaway: complete at least one end-to-end project and one timed mock interview before applying; document costs and metrics for each to discuss in interviews.

aws solutions architect Interview Questions: Complete Guide

Michael Rodriguez

Common Interview Questions

Behavioral Questions (STAR Method)

Technical Questions

Questions to Ask the Interviewer

Interview Preparation Tips

Overview

Key Subtopics and Sample Questions

Study Resources and Hands-On Practice

Interview Prep Checklist

Build your job search toolkit

aws solutions architect Interview Questions: Complete Guide

Michael Rodriguez

Common Interview Questions

Q1How would you design a highly available, fault-tolerant web application on AWS?

Q2Explain the differences between Amazon S3, EBS, and EFS and when to use each.

Q3How do you secure AWS resources and ensure least privilege?

Q4Describe the AWS Well-Architected Framework and how you use it.

Q5How would you migrate an on-premise relational database to AWS?

Q6Explain how Auto Scaling and Elastic Load Balancing work together.

Q7How do you design cost-optimized architectures on AWS?

Q8What is a VPC and how do you design subnetting, routing, NAT, and security groups versus NACLs?

Q9How do you handle backup and disaster recovery in AWS?

Q10Explain how you use Infrastructure as Code with CloudFormation or Terraform for AWS deployments.

Behavioral Questions (STAR Method)

B1Tell me about a time you designed a system under a tight deadline.

B2Describe a time you convinced stakeholders to adopt a new architecture or practice.

B3Tell me about a time you responded to a major production outage.

Technical Questions

T1What is eventual consistency versus strong consistency, and where do you see each in AWS?

T2How does AWS IAM policy evaluation work and what are common pitfalls?

T3What are the options for cross-region replication for S3 and RDS and when would you use them?

T4How do you set up VPC peering and what are its limitations?

T5How would you secure data at rest and in transit on AWS?

T6Can you describe how CloudFormation Change Sets or Terraform plans help prevent accidental infrastructure changes?

Questions to Ask the Interviewer

Interview Preparation Tips

Overview

Key Subtopics and Sample Questions

Study Resources and Hands-On Practice

Interview Prep Checklist

Build your job search toolkit