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所在平台: Udemy |
课程主页: https://www.udemy.com/course/practice-exam-aws-solutions-architect-practice-test/
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课程名称：AWS解决方案架构师实践测试 课程概述：本课程旨在帮助您为AWS认证解决方案架构师助理SAA-C03考试做好充分准备。由Samant Gour主讲的综合实践考试课程，提供了您在考试中获胜所需的竞争优势。实践考试的题目和难度水平与真实考试相符，并提供详细的解释和“考试提醒”，同时附有AWS文档的参考链接，确保您在SAA-C03考试的所有测试领域得到充分的准备。将此课程视为您的最后准备站，为您提供信心，以顺利通过考试并获得AWS认证。每道题目均是精心原创，课程将不断增加新的问题。许多成功通过实际考试的学生的出色评价也证明了课程的质量。 示例问题：您正在设计一个需要高可用性和故障容错的AWS网络应用架构。该应用包括前端网络服务器、应用服务器和数据库服务器。用户期望无论流量如何，性能都保持一致。最适合这些需求的架构是什么？ 选项： A. 将所有组件部署在一个启用自动扩展的EC2实例中。 B. 为每个组件使用多个EC2实例，并将其部署在多个可用区（AZ）后面，使用弹性负载均衡器（ELB）。 C. 对于应用服务器使用AWS Lambda，对数据库使用Amazon RDS，均配置在单个AZ中。 D. 使用AWS Elastic Beanstalk和Amazon Aurora Serverless组合实现应用。 答案：B) 为每个组件使用多个EC2实例，并将其部署在多个可用区（AZ）后面，使用弹性负载均衡器（ELB）。 解析：选项B是正确的选择，因为它符合高可用性、故障容错和一致性能的需求。通过在多个可用区中为每个组件（前端、应用服务器和数据库服务器）部署多个EC2实例，可以确保冗余性和故障容错。弹性负载均衡器（ELB）将进入的流量分配到这些实例，提供可扩展性，防止单点故障。此外，负载均衡器智能路由流量到健康实例，确保无论流量或实例故障，用户体验保持平稳。 其他选项为何不正确： A) 将所有组件部署在单个EC2实例中并启用自动扩展，无法提供足够的故障容错或高可用性。 C) 在单个AZ中使用AWS Lambda和Amazon RDS提供的冗余和故障容错不足。 D) 尽管AWS Elastic Beanstalk和Amazon Aurora Serverless提供了简便的部署和可扩展性，但可能不如直接部署EC2实例控制和自定义能力强。 通过这个课程，您将全面掌握AWS解决方案架构师考试所需的知识与技能。
Prepare for the AWS Certified Solutions Architect Associate SAA-C03 exam with our comprehensive practice exams course, designed to give you the competitive edge you need to succeed.Authored by Samant Gour, these practice exams reflect the tone and difficulty level of the real exam. With detailed explanations and "exam alerts," accompanied by references to AWS documentation, you'll be thoroughly prepared for all domains tested in the SAA-C03 exam.Consider this course your final preparation stop, providing you with the confidence to ace the exam and attain your AWS certification. Rest assured, you're in capable hands with our trusted process.Each question is meticulously crafted from scratch, with additional questions continuously added over time. Don't just take our word for it-see the outstanding testimonials from students who have excelled in the real exam.Sample Question:You are designing an architecture for a web application that requires high availability and fault tolerance on AWS. The application consists of a front-end web server, an application server, and a database server. Users expect consistent performance regardless of the traffic volume. Which architecture would best meet these requirements?Options: A. Deploy all components in a single EC2 instance with Auto Scaling enabled. B. Use multiple EC2 instances for each component, and deploy them in multiple Availability Zones (AZs) behind an Elastic Load Balancer (ELB). C. Utilize AWS Lambda for the application server and Amazon RDS for the database, both configured in a single AZ. D. Implement the application using a combination of AWS Elastic Beanstalk and Amazon Aurora Serverless.Answer: B) Use multiple EC2 instances for each component, and deploy them in multiple Availability Zones (AZs) behind an Elastic Load Balancer (ELB).Explanation: Option B is the correct choice because it aligns with the requirements of high availability, fault tolerance, and consistent performance. By deploying multiple EC2 instances for each component (front-end, application server, and database server) across multiple AZs, you ensure redundancy and fault tolerance. The Elastic Load Balancer (ELB) distributes incoming traffic across these instances, providing scalability and preventing any single point of failure. This architecture also allows for consistent performance as the load balancer intelligently routes traffic to healthy instances, maintaining a smooth user experience regardless of the traffic volume or instance failures.Why the other options are incorrect:A) Deploying all components in a single EC2 instance with Auto Scaling enabled does not provide sufficient fault tolerance or high availability. In the event of instance failure or increased traffic, the single instance may become overwhelmed or unavailable, resulting in downtime and degraded performance.C) Utilizing AWS Lambda for the application server and Amazon RDS for the database in a single AZ may offer scalability and cost efficiency but lacks the redundancy and fault tolerance provided by deploying across multiple AZs. Additionally, AWS Lambda may not be suitable for all types of applications, especially those with persistent connections or long-running processes.D) While AWS Elastic Beanstalk and Amazon Aurora Serverless offer ease of deployment and scalability, they may not provide the same level of control and customization as deploying EC2 instances directly. Additionally, Aurora Serverless may introduce latency and performance variability due to its on-demand scaling nature, which may not be suitable for applications requiring consistent performance.
