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Amazon SAA-C03 Exam Syllabus Topics:

SectionWeightObjectives
Design Resilient Architectures26%- Design for reliability and recovery
  • 1. Backup and restore mechanisms
  • 2. Failover and failback processes
- Design decoupled and loosely coupled systems
  • 1. Event-driven architectures
  • 2. Serverless and managed service integration
  • 3. Messaging and queue services
- Design highly available and fault-tolerant architectures
  • 1. Regions, Availability Zones, and edge locations
  • 2. Replication and disaster recovery strategies
  • 3. Load balancing and auto scaling
Design Secure Architectures30%- Design for security and threat detection
  • 1. Monitoring and logging services
  • 2. Incident response and security automation
- Design secure access to AWS resources
  • 1. Security best practices and least privilege
  • 2. Multi-account access and control
  • 3. Shared responsibility model
  • 4. Identity and access management (IAM, IAM Identity Center)
- Design secure workloads and applications
  • 1. Data protection and encryption (at rest/in transit)
  • 2. Compliance and governance controls
  • 3. Network security (VPC, security groups, NACLs)
Design Cost-Optimized Architectures20%- Control and monitor costs
  • 1. Cost management tools and alerts
  • 2. Resource tagging and allocation
- Identify cost-effective storage solutions
  • 1. Storage classes and lifecycle policies
  • 2. Data retention and archiving
- Design cost-effective compute and network solutions
  • 1. Data transfer cost optimization
  • 2. Serverless and pay-as-you-go models
  • 3. Right-sizing and reserved instances
Design High-Performing Architectures24%- Design high-performance compute solutions
  • 1. Instance types and sizing
  • 2. Scaling and performance optimization
  • 3. Compute options (EC2, Lambda, ECS, EKS)
- Design high-performance networking solutions
  • 1. Network architecture and connectivity
  • 2. Global acceleration and routing
  • 3. Latency reduction and throughput optimization
- Design high-performance storage solutions
  • 1. Storage performance and durability
  • 2. Caching and content delivery
  • 3. Storage types (object, block, file)

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最新的 AWS Certified Solutions Architect SAA-C03 免費考試真題 (Q219-Q224):

問題 #219
A company that primarily runs its application servers on premises has decided to migrate to AWS. The company wants to minimize its need to scale its Internet Small Computer Systems Interface (iSCSI) storage on premises. The company wants only its recently accessed data to remain stored locally.
Which AWS solution should the company use to meet these requirements?

答案:D

解題說明:
Explanation
AWS Storage Gateway Volume Gateway provides two configurations for connecting to iSCSI storage, namely, stored volumes and cached volumes. The stored volume configuration stores the entire data set on-premises and asynchronously backs up the data to AWS. The cached volume configuration stores recently accessed data on-premises, and the remaining data is stored in Amazon S3. Since the company wants only its recently accessed data to remain stored locally, the cached volume configuration would be the most appropriate. It allows the company to keep frequently accessed data on-premises and reduce the need for scaling its iSCSI storage while still providing access to all data through the AWS cloud. This configuration also provides low-latency access to frequently accessed data and cost-effective off-site backups for less frequently accessed data.
https://docs.amazonaws.cn/en_us/storagegateway/latest/vgw/StorageGatewayConcepts.html#storage-gateway-ca


問題 #220
A global company runs a data lake application in the us-east-1 Region and the eu-west-1 Region in an active-passive configuration. Application data is stored locally in Amazon S3 buckets in each AWS Region. The bucket in us-east-1 is the primary active bucket that handles all writes. The company needs to ensure that the application has Regional fault tolerance. The company also needs the storage layer to provide a highly available active-active capability for reads across Regions. The storage layer must provide low latency access through a single global endpoint.

答案:A

解題說明:
Amazon S3 Multi-Region Access Points allow applications to access S3 buckets in multiple Regions through a single global endpoint. This provides active-active read access with automatic routing to the closest bucket for low latency. With cross-Region replication, writes in the primary Region are automatically copied to the secondary Region, providing fault tolerance. Option A (CloudFront) provides caching and distribution, but does not address write replication or active-active bucket access. Option B (Transfer Acceleration) optimizes uploads across distances but does not enable cross-Region fault tolerance. Option C (AWS Backup) is designed for backup/restore, not real-time multi-Region reads and writes. Therefore, D is the correct solution for active-active read access and disaster recovery.
Reference:
* Amazon S3 Multi-Region Access Points - Global endpoint access and routing
* AWS Well-Architected Framework - Reliability Pillar: Multi-Region design


問題 #221
A company has a web application for travel ticketing. The application is based on a database that runs in a single data center in North America. The company wants to expand the application to serve a global user base.
The company needs to deploy the application to multiple AWS Regions. Average latency must be less than 1 second on updates to the reservation database.
The company wants to have separate deployments of its web platform across multiple Regions. However the company must maintain a single primary reservation database that is globally consistent.
Which solution should a solutions architect recommend to meet these requirements?

答案:A

解題說明:
https://aws.amazon.com/rds/aurora/global-database/
https://aws.amazon.com/blogs/architecture/using-amazon-aurora-global-database-for-low-latency-without- application-changes/


問題 #222
A company has an application that uses Docker containers in its local data center The application runs on a container host that stores persistent data in a volume on the host. The container instances use the stored persistent data.
The company wants to move the application to a fully managed service because the company does not want to manage any servers or storage infrastructure.
Which solution will meet these requirements?

答案:D

解題說明:
This solution meets the requirements because it allows the company to move the application to a fully managed service without managing any servers or storage infrastructure. AWS Fargate is a serverless compute engine for containers that runs the Amazon ECS tasks. With Fargate, the company does not need to provision, configure, or scale clusters of virtual machines to run containers. Amazon EFS is a fully managed file system that can be accessed by multiple containers concurrently. With EFS, the company does not need to provision and manage storage capacity. EFS provides a simple interface to create and configure file systems quickly and easily. The company can use the EFS volume as a persistent storage volume mounted in the containers to store the persistent data. The company can also use the EFS mount helper to simplify the mounting process. References: Amazon ECS on AWS Fargate, Using Amazon EFS file systems with Amazon ECS, Amazon EFS mount helper.


問題 #223
[Design High-Performing Architectures]
A company uses high concurrency AWS Lambda functions to process a constantly increasing number of messages in a message queue during marketing events. The Lambda functions use CPU intensive code to process the messages. The company wants to reduce the compute costs and to maintain service latency for its customers.
Which solution will meet these requirements?

答案:B

解題說明:
The company wants to reduce the compute costs and maintain service latency for its Lambda functions that process a constantly increasing number of messages in a message queue. The Lambda functions use CPU intensive code to process the messages. To meet these requirements, a solutions architect should recommend the following solution:
Configure provisioned concurrency for the Lambda functions. Provisioned concurrency is the number of pre-initialized execution environments that are allocated to the Lambda functions. These execution environments are prepared to respond immediately to incoming function requests, reducing the cold start latency. Configuring provisioned concurrency also helps to avoid throttling errors due to reaching the concurrency limit of the Lambda service.
Increase the memory according to AWS Compute Optimizer recommendations. AWS Compute Optimizer is a service that provides recommendations for optimal AWS resource configurations based on your utilization data. By increasing the memory allocated to the Lambda functions, you can also increase the CPU power and improve the performance of your CPU intensive code.AWS Compute Optimizer can help you find the optimal memory size for your Lambda functions based on your workload characteristics and performance goals.
This solution will reduce the compute costs by avoiding unnecessary over-provisioning of memory and CPU resources, and maintain service latency by using provisioned concurrency and optimal memory size for the Lambda functions.
Reference:
Provisioned Concurrency
AWS Compute Optimizer


問題 #224
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