Master AWS interviews with AI. Practice cloud architecture, core services (EC2, S3, Lambda), and system design for cloud engineer, DevOps, and solutions architect positions.
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Services
EC2, S3, Lambda
Design
HA, scalable
IAM
Best practices
Feedback
Instant analysis
What you need to know for interviews
EC2 (instance types, AMIs, placement groups), Lambda (cold starts, limits), ECS/EKS, Fargate, Auto Scaling.
S3 (storage classes, lifecycle), EBS, RDS (Multi-AZ, read replicas), DynamoDB (partition keys, GSIs), ElastiCache.
VPC (subnets, NAT, VPN), Route 53, CloudFront, ELB (ALB, NLB), API Gateway, Direct Connect.
IAM (roles, policies, least privilege), KMS, Secrets Manager, Security Groups, NACLs, AWS Organizations.
Comprehensive AWS interview preparation
EC2, Lambda, ECS
S3, EBS, Glacier
RDS, DynamoDB
VPC, Route 53
IAM, KMS
Lambda, API Gateway
High availability
CloudFormation, CDK
Cloud interview simulation
Compute
EC2, Lambda, ECS
Storage
S3, EBS, Glacier
Databases
RDS, DynamoDB
Networking
VPC, Route 53
High Availability
Multi-AZ, regions
Scalability
Auto Scaling
Security
IAM best practices
Cost
Optimization
Practice these and more
Design a highly available web application that can handle 10,000 requests per second with automatic scaling.
When would you choose Lambda over EC2? What are the limitations of Lambda and how would you work around them?
How would you design a secure VPC architecture for a three-tier application with public and private subnets?
Compare RDS and DynamoDB. When would you choose each? How do you handle read scaling for each?
Practice AWS interviews
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