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Amazon AWS-Solutions-Architect-Associate Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design Resilient Architectures26%- Design highly available and fault-tolerant architectures
  • 1. Multi-AZ and multi-region deployments
  • 2. Replication and backup strategies
  • 3. Load balancing and auto scaling
- Determine how to isolate workloads
  • 1. Isolation boundaries and security domains
  • 2. Resource separation and segmentation
- Design solutions for disaster recovery
  • 1. Cross-region replication and failover
  • 2. RTO and RPO planning
  • 3. Recovery strategies (backup, restore, pilot light, warm standby, multi-site)
Topic 2: Design Cost-Optimized Architectures20%- Select cost-effective database solutions
  • 1. Capacity planning and optimization
  • 2. Database service pricing models
- Design cost-effective compute solutions
  • 1. Serverless vs provisioned resources
  • 2. Right-sizing and scaling
  • 3. Instance type and purchasing options
- Estimate costs and identify cost control mechanisms
  • 1. Cost management tools
  • 2. Budgeting and alerts
- Identify cost-effective storage solutions
  • 1. Data retention and archiving
  • 2. Storage class selection
  • 3. Lifecycle management
- Design cost-effective network architectures
  • 1. Data transfer cost optimization
  • 2. Connectivity options selection
Topic 3: Design Secure Architectures30%- Design solutions for secure networks
  • 1. VPC design and connectivity
  • 2. Edge security and protection
  • 3. Private access options
- Design solutions for secure access
  • 1. Identity and access management (IAM)
  • 2. Secure API access
  • 3. Federated access and AWS SSO
- Design solutions for secure workloads
  • 1. Data protection and encryption
  • 2. Security groups and network ACLs
  • 3. Compliance and governance
Topic 4: Design High-Performing Architectures24%- Design high-performance database solutions
  • 1. Data partitioning and distribution
  • 2. Database service selection (RDS, Aurora, DynamoDB, Neptune)
  • 3. Read replicas and caching
- Design high-performance compute solutions
  • 1. Scaling and performance optimization
  • 2. Compute options (EC2, Lambda, ECS, EKS, Fargate)
  • 3. Placement groups and networking
- Determine high-performance storage solutions
  • 1. Data transfer and acceleration
  • 2. Caching strategies
  • 3. Storage service selection (S3, EBS, EFS, FSx)
- Design high-performance network architectures
  • 1. Edge delivery and content distribution
  • 2. Network optimization and routing

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q605-Q610):

NEW QUESTION # 605
A solutions architect is creating an application that will handle batch processing of large amounts of data. The input data will be held in Amazon S3 and the output data will be stored in a different S3 bucket. For processing, the application will transfer the data over the network between multiple Amazon EC2 instances.
What should the solutions architect do to reduce the overall data transfer costs?

Answer: B


NEW QUESTION # 606
An application has a web tier that runs on EC2 instances in a public subnet. The application tier instances run in private subnets across two Availability Zones. All traffic is IPv4 only, and each subnet has its own custom route table.
A new feature requires that application tier instances can call an external service over the Internet; however, they must still not be accessible to Internet traffic.
What should be done to allow the application servers to connect to the Internet, maintain high availability, and minimize administrative overhead?

Answer: D


NEW QUESTION # 607
A company is using an Amazon Redshift cluster to run analytics queries for multiple sales teams. In addition to the typical workload, on the last Monday morning of each month, thousands of users run reports. Users have reported slow response times during the monthly surge.
The company must improve query performance without impacting the availability of the Redshift cluster.
Which solution will meet these requirements?

Answer: B

Explanation:
Concurrency Scaling allows Amazon Redshift to add transient capacity automatically to handle bursts in concurrent queries. This is ideal for scenarios with predictable surge periods, such as end-of-month reporting.
It improves performance without manual resizing or cluster modification and without affecting availability.
Resizing requires manual intervention and potential downtime, and Redshift Spectrum is designed for querying data in S3, not for solving concurrency issues.


NEW QUESTION # 608
A company has a web application that is based ornavaan

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