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[General] SAA-C03 Zertifikatsdemo & SAA-C03 Examsfragen

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【General】 SAA-C03 Zertifikatsdemo & SAA-C03 Examsfragen

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Amazon AWS Certified Solutions Architect - Associate SAA-C03 Prüfungsfragen mit Lösungen (Q581-Q586):581. Frage
A solutions architect is designing a shared storage solution for a web application that is deployed across multiple Availability Zones The web application runs on Amazon EC2 instances that are in an Auto Scaling group The company plans to make frequent changes to the content The solution must have strong consistency in returning the new content as soon as the changes occur.
Which solutions meet these requirements? (Select TWO)
  • A. Create a shared Amazon Elastic Block Store (Amazon EBS) volume. Mount the EBS volume on the individual EC2 instances.
  • B. Create an Amazon Elastic File System (Amazon EFS) file system Mount the EFS file system on the individual EC2 instances
  • C. Create an Amazon S3 bucket to store the web content Set the metadata for the Cache-Control header to no-cache Use Amazon CloudFront to deliver the content
  • D. Use AWS Storage Gateway Volume Gateway Internet Small Computer Systems Interface (iSCSI) block storage that is mounted to the individual EC2 instances
  • E. Use AWS DataSync to perform continuous synchronization of data between EC2 hosts in the Auto Scaling group
Antwort: B,C
Begründung:
These options are the most suitable ways to design a shared storage solution for a web application that is deployed across multiple Availability Zones and requires strong consistency. Option B uses Amazon Elastic File System (Amazon EFS) as a shared file system that can be mounted on multiple EC2 instances in different Availability Zones. Amazon EFS provides high availability, durability, scalability, and performance for file-based workloads. It also supports strong consistency, which means that any changes made to the file system are immediately visible to all clients. Option E uses Amazon S3 as a shared object store that can store the web content and serve it through Amazon CloudFront, a content delivery network (CDN). Amazon S3 provides high availability, durability, scalability, and performance for object-based workloads. It also supports strong consistency for read-after-write and list operations, which means that any changes made to the objects are immediately visible to all clients. By setting the metadata for the Cache-Control header to no-cache, the web content can be prevented from being cached by the browsers or the CDN edge locations, ensuring that the latest content is always delivered to the users.
Option A is not suitable because using AWS Storage Gateway Volume Gateway as a shared storage solution for a web application is not efficient or scalable. AWS Storage Gateway Volume Gateway is a hybrid cloud storage service that provides block storage volumes that can be mounted on-premises or on EC2 instances as iSCSI devices. It is useful for migrating or backing up data to AWS, but it is not designed for serving web content or providing strong consistency. Moreover, using Volume Gateway would incur additional costs and complexity, and it would not leverage the native AWS storage services.
Option C is not suitable because creating a shared Amazon EBS volume and mounting it on multiple EC2 instances is not possible or reliable. Amazon EBS is a block storage service that provides persistent and high-performance volumes for EC2 instances. However, EBS volumes can only be attached to one EC2 instance at a time, and they are constrained to a single Availability Zone. Therefore, creating a shared EBS volume for a web application that is deployed across multiple Availability Zones is not feasible. Moreover, EBS volumes do not support strong consistency, which means that any changes made to the volume may not be immediately visible to other clients.
Option D is not suitable because using AWS DataSync to perform continuous synchronization of data between EC2 hosts in the Auto Scaling group is not efficient or scalable. AWS DataSync is a data transfer service that helps you move large amounts of data to and from AWS storage services. It is useful for migrating or archiving data, but it is not designed for serving web content or providing strong consistency. Moreover, using DataSync would incur additional costs and complexity, and it would not leverage the native AWS storage services. Reference:
What Is Amazon Elastic File System?
What Is Amazon Simple Storage Service?
What Is Amazon CloudFront?
What Is AWS Storage Gateway?
What Is Amazon Elastic Block Store?
What Is AWS DataSync?

582. Frage
A company wants to run applications in containers in the AWS Cloud. These applications are stateless and can tolerate disruptions within the underlying infrastructure. The company needs a solution that minimizes cost and operational overhead.
What should a solutions architect do to meet these requirements?
  • A. Use On-Demand Instances in an Amazon Elastic Kubernetes Service (Amazon EKS) managed node group.
  • B. Use Spot Instances in an Amazon EC2 Auto Scaling group to run the application containers.
  • C. Use On-Demand Instances in an Amazon EC2 Auto Scaling group to run the application containers.
  • D. Use Spot Instances in an Amazon Elastic Kubernetes Service (Amazon EKS) managed node group.
Antwort: B
Begründung:
https://aws.amazon.com/cn/blogs/ ... ith-spot-instances/

583. Frage
[Design Secure Architectures]
A company runs a container application on a Kubernetes cluster in the company's data center The application uses Advanced Message Queuing Protocol (AMQP) to communicate with a message queue The data center cannot scale fast enough to meet the company's expanding business needs The company wants to migrate the workloads to AWS Which solution will meet these requirements with the LEAST operational overhead?
  • A. Use AWS Lambda functions to run the application Use Amazon Simple Queue Service (Amazon SQS) to retrieve the messages.
  • B. Migrate the container application to Amazon Elastic Container Service (Amazon ECS) Use Amazon Simple Queue Service (Amazon SQS) to retrieve the messages.
  • C. Use highly available Amazon EC2 instances to run the application Use Amazon MQ to retrieve the messages.
  • D. Migrate the container application to Amazon Elastic Kubernetes Service (Amazon EKS) Use Amazon MQ to retrieve the messages.
Antwort: D
Begründung:
This option is the best solution because it allows the company to migrate the container application to AWS with minimal changes and leverage a managed service to run the Kubernetes cluster and the message queue. By using Amazon EKS, the company can run the container application on a fully managed Kubernetes control plane that is compatible with the existingKubernetes tools and plugins. Amazon EKS handles the provisioning, scaling, patching, and security of the Kubernetes cluster, reducing the operational overhead and complexity. By using Amazon MQ, the company can use a fully managed message broker service that supports AMQP and other popular messaging protocols. Amazon MQ handles the administration, maintenance, and scaling of the message broker, ensuring high availability, durability, and security of the messages.
A . Migrate the container application to Amazon Elastic Container Service (Amazon ECS) Use Amazon Simple Queue Service (Amazon SQS) to retrieve the messages. This option is not optimal because it requires the company to change the container orchestration platform from Kubernetes to ECS, which can introduce additional complexity and risk. Moreover, it requires the company to change the messaging protocol from AMQP to SQS, which can also affect the application logic and performance. Amazon ECS and Amazon SQS are both fully managed services that simplify the deployment and management of containers and messages, but they may not be compatible with the existing application architecture and requirements.
C . Use highly available Amazon EC2 instances to run the application Use Amazon MQ to retrieve the messages. This option is not ideal because it requires the company to manage the EC2 instances that host the container application. The company would need to provision, configure, scale, patch, and monitor the EC2 instances, which can increase the operational overhead and infrastructure costs. Moreover, the company would need to install and maintain the Kubernetes software on the EC2 instances, which can also add complexity and risk. Amazon MQ is a fully managed message broker service that supports AMQP and other popular messaging protocols, but it cannot compensate for the lack of a managed Kubernetes service.
D . Use AWS Lambda functions to run the application Use Amazon Simple Queue Service (Amazon SQS) to retrieve the messages. This option is not feasible because AWS Lambda does not support running container applications directly. Lambda functions are executed in a sandboxed environment that is isolated from other functions and resources. To run container applications on Lambda, the company would need to use a custom runtime or a wrapper library that emulates the container API, which can introduce additional complexity and overhead. Moreover, Lambda functions have limitations in terms of available CPU, memory, and runtime, which may not suit the application needs. Amazon SQS is a fully managed message queue service that supports asynchronous communication, but it does not support AMQP or other messaging protocols.
Reference:
1 Amazon Elastic Kubernetes Service - Amazon Web Services
2 Amazon MQ - Amazon Web Services
3 Amazon Elastic Container Service - Amazon Web Services
4 AWS Lambda FAQs - Amazon Web Services

584. Frage
A company is building a new dynamic ordering website. The company wants to minimize server maintenance and patching. The website must be highly available and must scale read and write capacity as quickly as possible to meet changes in user demand.
Which solution will meet these requirements?
  • A. Host static content in Amazon S3 Host dynamic content by using Amazon API Gateway and AWS Lambda Use Amazon DynamoDB with on-demand capacity for the database Configure Amazon CloudFront to deliver the website content
  • B. Host at the website content on Amazon EC2 instances Create an Auto Scaling group to scale the EC2 instances Use an Application Load Balancer to distribute traffic Use Amazon Aurora with Aurora Auto Scaling for the database
  • C. Host static content in Amazon S3 Host dynamic content by using Amazon API Gateway and AWS Lambda Use Amazon Aurora with Aurora Auto Scaling for the database Configure Amazon CloudFront to deliver the website content
  • D. Host al the website content on Amazon EC2 instances Create an Auto Scaling group to scale the EC2 Instances Use an Application Load Balancer to distribute traffic Use Amazon DynamoDB with provisioned write capacity for the database
Antwort: A
Begründung:
Explanation
Key phrase in the Question is must scale read and write capacity. Aurora is only for Read. Amazon DynamoDB has two read/write capacity modes for processing reads and writes on your tables: On-demand Provisioned (default, free-tier eligible)
https://docs.aws.amazon.com/amaz ... riteCapacityMode.ht

585. Frage
Question:
A genomics research company is designing a scalable architecture for a loosely coupled workload. Tasks in the workload are independent and can be processed in parallel. The architecture needs to minimize management overhead and provide automatic scaling based on demand.
Options:
  • A. Use AWS ParallelCluster to deploy a dedicated high-performance cluster.
  • B. Use a cluster of Amazon EC2 instances. Use AWS Systems Manager to manage the workload.
  • C. Implement vertical scaling for each workload task.
  • D. Implement a serverless architecture that uses AWS Lambda functions.
Antwort: D
Begründung:
Comprehensive and Detailed Explanation:
For workloads where tasks are independent and can be processed in parallel, and where minimizing management overhead is a priority, a serverless architecture using AWS Lambda is ideal.
* AWS Lambda allows you to run code without provisioning or managing servers. It automatically scales your application by running code in response to each trigger.
* Parallel Processing: Lambda functions can process multiple tasks concurrently, making it suitable for parallel workloads.
* Automatic Scaling: Lambda automatically scales by running code in response to each event, scaling precisely with the size of the workload.
* Minimal Management Overhead: With Lambda, there's no need to manage the underlying infrastructure, reducing operational complexity.Wikipedia References:
AWS Lambda - Run Code Without Thinking About Servers
Best Practices for Designing and Architecting with AWS Lambda

586. Frage
......
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