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AWS Interview & Exam Q&A by Expert Interview Panel

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AWS Architect Accelerator: Rapid-Fire Question and Answer Explanation with Expert Insight for Exam and Interview Success


1. Introduction
  • 1. Introduction

  • 2. Design Secure Architectures
  • 1. Access controls and management across multiple accounts
  • 2. AWS federated access and identity services(IAM,Single Signon)
  • 3. The AWS shared responsibility model
  • 4. AWS security best practices(the principle of least privilege)
  • 5. AWS global infrastructure(Availability Zones, AWS Regions)

  • 3. Design highly available or fault-tolerant architectures
  • 1. AWS global infrastructure eg-Availability Zones, AWS Regions,Amazon Route 53
  • 2. AWS managed services with appropriate use cases eg- Amazon Comprehend, Amazon Po
  • 3. Basic networking concepts eg- route tables.
  • 4. Disaster recovery strategies eg- backup and restore, pilot light, warm standby
  • 5. Distributed design patterns
  • 6. Failover strategies
  • 7. Workload visibility
  • 8. Service quotas and throttling eg- how to configure the service quotas for a work
  • 9. Proxy concepts eg- Amazon RDS Proxy
  • 10. Load balancing concepts eg- Application Load Balancer
  • 11. Storage options and characteristics eg- durability, replication
  • 12. Immutable infrastructure

  • 4. Design secure workloads and applications
  • 1. Security services with appropriate use cases
  • 2. Secure application access
  • 3. Control ports, protocols, and network traffic on AWS
  • 4. AWS service endpoints
  • 5. Security services with appropriate use cases
  • 6. Application configuration and credentials security
  • 7. Threat vectors external to AWS
  • 8. Implementing policies for data access, lifecycle, and protection

  • 5. Determine appropriate data security controls
  • 1. Implementing data backups and replications
  • 2. Encrypting data in transit
  • 3. Rotating encryption keys and renewing certificates
  • 4. Implementing access policies for encryption keys
  • 5. Data access and governance
  • 6. Data recovery
  • 7. Data retention and classification
  • 8. Encryption and appropriate key management

  • 6. Design High-Performing Architectures
  • 1. Determining storage services that can scale to accommodate future needs.
  • 2. Storage types with associated characteristics eg- object,file,block.
  • 3. Determining storage services and configurations that meet performance demands

  • 7. Design scalable and loosely coupled architectures
  • 1. When to use read replicas and Workflow orchestration (AWS Step Functions)
  • 2. Serverless technologies and patterns (for example, AWS Fargate, AWS Lambda)
  • 3. Load balancing concepts (for example, Application Load Balancer)
  • 4. How to migrate applications into containers
  • 5. The orchestration of containers (for example, Amazon Elastic Container Service,
  • 6. API creation and management
  • 7. AWS managed services with appropriate use cases
  • 8. Caching strategies and Event-driven architectures
  • 9. Horizontal scaling and vertical scaling
  • 10. Design principles for microservices
  • 11. How to appropriately use edge accelerators
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