Amazon Web Services
Design and deploy scalable, highly available, and fault-tolerant systems on Amazon Web Services.
Avg Salary
$148k/yr
Difficulty
Intermediate
Prep Time
~150h
Exam Cost
$300
Skills Covered
Questions
65
Duration
130 min
Pass Score
72%
Format
Multiple choice
Design Secure Architectures
5 objectives
Design secure access to AWS resources (IAM policies, SCPs, permission boundaries, cross-account access).
Design secure workloads and applications (application secrets management, security controls for API access).
Determine appropriate data security controls (encryption in transit/at rest, key management with AWS KMS, data retention).
Implement a secure multi-tier architecture using VPC, security groups, NACLs, and PrivateLink.
Evaluate security services such as AWS Shield, WAF, Macie, Inspector, and GuardDuty for a given scenario.
Design Resilient Architectures
5 objectives
Design scalable and loosely coupled architectures using SQS, SNS, EventBridge, and Step Functions.
Design highly available and fault-tolerant architectures using Multi-AZ, Multi-Region, and failover strategies.
Determine an appropriate data replication strategy (S3 Cross-Region Replication, RDS Read Replicas, DynamoDB Global Tables).
Design a disaster recovery strategy (RTO/RPO, backup/restore, pilot light, warm standby, multi-site active/active).
Select the appropriate compute solution for resilience (Auto Scaling Groups, ELB, Spot Instances with fallback).
Design High-Performing Architectures
5 objectives
Determine high-performing and scalable storage solutions (S3 intelligent tiering, EFS, FSx, instance storage).
Design high-performing and elastic compute solutions (Lambda, ECS/EKS, Fargate, EC2 with right-sizing).
Determine high-performing database solutions (Aurora, DynamoDB DAX, ElastiCache, Read Replicas).
Determine high-performing and scalable network architectures (CloudFront, Global Accelerator, Transit Gateway).
Determine high-performing data ingestion and transformation solutions (Kinesis, Glue, EMR, Redshift).
Design Cost-Optimized Architectures
5 objectives
Design cost-optimized storage solutions (S3 lifecycle policies, EBS right-sizing, S3 Glacier).
Design cost-optimized compute solutions (Savings Plans, Reserved Instances, Spot Instances, Graviton).
Design cost-optimized database solutions (Aurora Serverless, DynamoDB on-demand, RDS cost optimization).
Design cost-optimized network architectures (data transfer costs, VPC endpoints vs NAT Gateway).
Use AWS Cost Explorer, Budgets, and Trusted Advisor recommendations to identify optimization opportunities.
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