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Amazon SAA-C03 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Design Resilient Architectures | 26% | - Design highly available and fault-tolerant architectures
- 1. Replication and disaster recovery strategies
- 2. Load balancing and auto scaling
- 3. Regions, Availability Zones, and edge locations
- Design decoupled and loosely coupled systems
- 1. Messaging and queue services
- 2. Serverless and managed service integration
- 3. Event-driven architectures
- Design for reliability and recovery
- 1. Backup and restore mechanisms
- 2. Failover and failback processes
|
| Design Cost-Optimized Architectures | 20% | - Identify cost-effective storage solutions
- 1. Storage classes and lifecycle policies
- 2. Data retention and archiving
- Design cost-effective compute and network solutions
- 1. Serverless and pay-as-you-go models
- 2. Right-sizing and reserved instances
- 3. Data transfer cost optimization
- Control and monitor costs
- 1. Resource tagging and allocation
- 2. Cost management tools and alerts
|
| Design High-Performing Architectures | 24% | - Design high-performance storage solutions
- 1. Storage types (object, block, file)
- 2. Caching and content delivery
- 3. Storage performance and durability
- Design high-performance networking solutions
- 1. Latency reduction and throughput optimization
- 2. Network architecture and connectivity
- 3. Global acceleration and routing
- Design high-performance compute solutions
- 1. Scaling and performance optimization
- 2. Instance types and sizing
- 3. Compute options (EC2, Lambda, ECS, EKS)
|
| Design Secure Architectures | 30% | - Design for security and threat detection
- 1. Monitoring and logging services
- 2. Incident response and security automation
- Design secure access to AWS resources
- 1. Multi-account access and control
- 2. Identity and access management (IAM, IAM Identity Center)
- 3. Shared responsibility model
- 4. Security best practices and least privilege
- 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)
|
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Amazon AWS Certified Solutions Architect - Associate 認定 SAA-C03 試験問題 (Q322-Q327):
質問 # 322
A solutions architect needs to help a company optimize the cost of running an application on AWS. The application will use Amazon EC2 instances, AWS Fargate, and AWS Lambda for compute within the architecture.
The EC2 instances will run the data ingestion layer of the application. EC2 usage will be sporadic and unpredictable. Workloads that run on EC2 instances can be interrupted at any time. The application front end will run on Fargate, and Lambda will serve the API layer. The front-end utilization and API layer utilization will be predictable over the course of the next year.
Which combination of purchasing options will provide the MOST cost-effective solution for hosting this application? (Choose two.)
- A. Use On-Demand Instances for the data ingestion layer
- B. Use Spot Instances for the data ingestion layer
- C. Purchase a 1-year Compute Savings Plan for the front end and API layer.
- D. Purchase 1-year All Upfront Reserved instances for the data ingestion layer.
- E. Purchase a 1-year EC2 instance Savings Plan for the front end and API layer.
正解:B、C
質問 # 323
A company has a transaction-processing application that is backed by an Amazon RDS MySQL database.
When the load on the application increases, a large number of database connections are opened and closed frequently, which causes latency for the database transactions.
A solutions architect determines that the root cause of the latency is poor connection handling by the application. The solutions architect cannot modify the application code. The solutions architect needs to manage database connections to improve the database performance during periods of high load.
Which solution will meet these requirements?
- A. Upgrade the database instance to a larger instance type to handle a large number of database connections.
- B. Use Amazon RDS Proxy to pool and share database connections.
- C. Convert the database instance to a Multi-AZ deployment.
- D. Configure Amazon RDS storage autoscaling to dynamically increase the provisioned IOPS.
正解:B
解説:
Amazon RDS Proxy is a fully managed database proxy for RDS that makes applications more scalable, more resilient to database failures, and more secure. RDS Proxy pools and shares database connections, allowing applications to open and close connections as needed without overwhelming the database. This is the recommended solution when the application cannot be modified to use connection pooling itself.
AWS Documentation Extract:
" Amazon RDS Proxy helps manage database connections to improve application scalability and performance. It pools connections and shares them among application clients, which can mitigate issues caused by opening and closing many database connections. " (Source: Amazon RDS Proxy documentation) A: Upgrading the instance does not solve connection inefficiency and can be cost-ineffective.
B: Increasing IOPS only helps if storage is a bottleneck, not if connections are the issue.
D: Multi-AZ improves availability, not connection management.
Reference: AWS Certified Solutions Architect - Official Study Guide, RDS Performance and Proxy.
質問 # 324
A company is migrating a distributed application to AWS The application serves variable workloads The legacy platform consists of a primary server trial coordinates jobs across multiple compute nodes The company wants to modernize the application with a solution that maximizes resiliency and scalability How should a solutions architect design the architecture to meet these requirements?
- A. Configure an Amazon Simple Queue Service (Amazon SQS) queue as a destination for the jobs Implement the compute nodes with Amazon EC2 Instances that are managed in an Auto Scaling group Configure EC2 Auto Scaling based on the size of the queue
- B. Implement the primary server and the compute nodes with Amazon EC2 instances that are managed In an Auto Scaling group. Configure AWS CloudTrail as a destination for the fobs Configure EC2 Auto Scaling based on the load on the primary server
- C. implement the primary server and the compute nodes with Amazon EC2 instances that are managed in an Auto Scaling group Configure Amazon EventBridge (Amazon CloudWatch Events) as a destination for the jobs Configure EC2 Auto Scaling based on the load on the compute nodes
- D. Configure an Amazon Simple Queue Service (Amazon SQS) queue as a destination for the jobs Implement the compute nodes with Amazon EC2 instances that are managed in an Auto Scaling group. Configure EC2 Auto Scaling to use scheduled scaling
正解:A
質問 # 325
[Design Secure Architectures]
A company is moving its data management application to AWS. The company wants to transition to an event-driven architecture. The architecture needs to the more distributed and to use serverless concepts whit performing the different aspects of the workflow. The company also wants to minimize operational overhead.
Which solution will meet these requirements?
- A. Build out the workflow in AWS Glue Use AWS Glue to invoke AWS Lambda functions to process the workflow slaps
- B. Build out the workflow in AWS Step Functions Deploy the application on Amazon EC2 Instances Use Step Functions to invoke the workflow steps on the EC2 instances
- C. Build out the workflow m AWS Step Functions Use Step Functions to create a stale machine Use the stale machine to invoke AWS Lambda functions to process the workflow steps
- D. Build out the workflow in Amazon EventBridge. Use EventBridge to invoke AWS Lambda functions on a schedule to process the workflow steps.
正解:C
解説:
This answer is correct because it meets the requirements of transitioning to an event-driven architecture, using serverless concepts, and minimizing operational overhead. AWS Step Functions is a serverless service that lets you coordinate multiple AWS services into workflows using state machines. State machines are composed of tasks and transitions that define the logic and order of execution of the workflow steps. AWS Lambda is a serverless function-as-a-service platform that lets you run code without provisioning or managing servers. Lambda functions can be invoked by Step Functions as tasks in a state machine, and can perform different aspects of the data management workflow, such as data ingestion, transformation, validation, and analysis. By using Step Functions and Lambda, the company can benefit from the following advantages:
Event-driven: Step Functions can trigger Lambda functions based on events, such as timers, API calls, or other AWS service events. Lambda functions can also emit events to other services or state machines, creating an event-driven architecture.
Serverless: Step Functions and Lambda are fully managed by AWS, so the company does not need to provision or manage any servers or infrastructure. The company only pays for the resources consumed by the workflows and functions, and can scale up or down automatically based on demand.
Operational overhead: Step Functions and Lambda simplify the development and deployment of workflows and functions, as they provide built-in features such as monitoring, logging, tracing, error handling, retry logic, and security. The company can focus on the business logic and data processing rather than the operational details.
Reference:
What is AWS Step Functions?
What is AWS Lambda?
質問 # 326
A company runs an on-premises application that is powered by a MySQL database. The company is migrating the application to AWS to Increase the application's elasticity and availability. The current architecture shows heavy read activity on the database during times of normal operation. Every 4 hours the company's development team pulls a full export of the production database to populate a database in the staging environment. During this period, users experience unacceptable application latency. The development team is unable to use the staging environment until the procedure completes. A solutions architect must recommend replacement architecture that alleviates the application latency issue. The replacement architecture also must give the development team the ability to continue using the staging environment without delay.
Which solution meets these requirements?
- A. Use Amazon Aurora MySQL with Multi-AZ Aurora Replicas for production.
Populate the staging database by implementing a backup and restore process that uses the mysqldump utility. - B. Use Amazon Aurora MySQL with Multi-AZ Aurora Replicas for production.
Use database cloning to create the staging database on-demand - C. Use Amazon RDS for MySQL with a Mufti AZ deployment and read replicas for production.
Use the standby instance tor the staging database. - D. Use Amazon RDS for MySQL with a Multi-AZ deployment and read replicas for production.Populate the staging database by implementing a backup and restore process that uses the mysqldump utility.
正解:B
解説:
To alleviate the application latency issue, the recommended solution is to use Amazon Aurora MySQL with Multi-AZ Aurora Replicas for production, and use database cloning to create the staging database on-demand. This allows the development team to continue using the staging environment without delay, while also providing elasticity and availability for the production application.
質問 # 327
......
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