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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design High-Performing Architectures | 24% | - Design high-performance networking solutions
|
| Topic 2: Design Cost-Optimized Architectures | 20% | - Design cost-effective compute and network solutions
|
| Topic 3: Design Resilient Architectures | 26% | - Design highly available and fault-tolerant architectures
|
| Topic 4: Design Secure Architectures | 30% | - Design for security and threat detection
|
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NEW QUESTION # 615
A company wants to run its payment application on AWS The application receives payment notifications from mobile devices Payment notifications require a basic validation before they are sent for further processing The backend processing application is long running and requires compute and memory to be adjusted The company does not want to manage the infrastructure Which solution will meet these requirements with the LEAST operational overhead?
Answer: C
Explanation:
This option is the best solution because it allows the company to run its payment application on AWS with minimal operational overhead and infrastructure management. By using Amazon API Gateway, the company can create a secure and scalable API to receive payment notifications from mobile devices. By using AWS Lambda, the company can run a serverless function to validate the payment notifications and send them to the backend application. Lambda handles the provisioning, scaling, and security of the function, reducing the operational complexity and cost. By using Amazon ECS with AWS Fargate, the company can run the backend application on a fully managed container service that scales the compute resources automatically and does not require any EC2 instances to manage. Fargate allocates the right amount of CPU and memory for each container and adjusts them as needed.
A . Create an Amazon Simple Queue Service (Amazon SQS) queue Integrate the queue with an Amazon EventBndge rule to receive payment notifications from mobile devices Configure the rule to validate payment notifications and send the notifications to the backend application Deploy the backend application on Amazon Elastic Kubernetes Service (Amazon EKS) Anywhere Create a standalone cluster. This option is not optimal because it requires the company to manage the Kubernetes cluster that runs the backend application. Amazon EKS Anywhere is a deployment option that allows the company to create and operate Kubernetes clusters on-premises or in other environments outside AWS. The company would need to provision, configure, scale, patch, and monitor the cluster nodes, which can increase the operational overhead and complexity. Moreover, the company would need to ensure the connectivity and security between the AWS services and the EKS Anywhere cluster, which can also add challenges and risks.
B . Create an Amazon API Gateway API Integrate the API with anAWS Step Functions state ma-chine to receive payment notifications from mobile devices Invoke the state machine to validate payment notifications and send the notifications to the backend application Deploy the backend application on Amazon Elastic Kubernetes Sen/ice (Amazon EKS). Configure an EKS cluster with self-managed nodes. This option is not ideal because it requires the company to manage the EC2 instances that host the Kubernetes cluster that runs the backend application. Amazon EKS is a fully managed service that runs Kubernetes on AWS, but it still requires the company to manage the worker nodes that run the containers. The company would need to provision, configure, scale, patch, and monitor the EC2 instances, which can increase the operational overhead and infrastructure costs. Moreover, using AWS Step Functions to validate the payment notifications may be unnecessary and complex, as the validation logic can be implemented in a simpler way with Lambda or other services.
C . Create an Amazon Simple Queue Sen/ice (Amazon SQS) queue Integrate the queue with an Amazon EventBridge rule to receive payment notifications from mobile devices Configure the rule to validate payment notifications and send the notifications to the backend application Deploy the backend application on Amazon EC2 Spot Instances Configure a Spot Fleet with a default al-location strategy. This option is not cost-effective because it requires the company to manage the EC2 instances that run the backend 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, using Spot Instances can introduce the risk of interruptions, as Spot Instances are reclaimed by AWS when the demand for On-Demand Instances increases. The company would need to handle the interruptions gracefully and ensure the availability and reliability of the backend application.
Reference:
1 Amazon API Gateway - Amazon Web Services
2 AWS Lambda - Amazon Web Services
3 Amazon Elastic Container Service - Amazon Web Services
4 AWS Fargate - Amazon Web Services
NEW QUESTION # 616
[Design Secure Architectures]
A company recently launched a variety of new workloads on Amazon EC2 instances in its AWS account. The company needs to create a strategy to access and administer the instances remotely and securely. The company needs to implement a repeatable process that works with native AWS services and follows the AWS Well-Architected Framework.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: B
Explanation:
https://docs.aws.amazon.com/systems-manager/latest/userguide/setup-launch-managed-instance.html
NEW QUESTION # 617
An image hosting company uploads its large assets to Amazon S3 Standard buckets The company uses multipart upload in parallel by using S3 APIs and overwrites if the same object is uploaded again. For the first 30 days after upload, the objects will be accessed frequently. The objects will be used less frequently after 30 days, but the access patterns for each object will be inconsistent The company must optimize its S3 storage costs while maintaining high availability and resiliency of stored assets.
Which combination of actions should a solutions architect recommend to meet these requirements? (Select TWO.)
Answer: C,D
Explanation:
S3 Intelligent-Tiering is a storage class that automatically moves data to the most cost-effective access tier based on access frequency, without performance impact, retrieval fees, or operational overhead1. It is ideal for data with unknown or changing access patterns, such as the company's assets. By moving assets to S3 Intelligent-Tiering after 30 days, the company can optimize its storage costs while maintaining high availability and resilience of stored assets.
S3 Lifecycle is a feature that enables you to manage your objects so that they are stored cost effectively throughout their lifecycle2. You can create lifecycle rules to define actions that Amazon S3 applies to a group of objects. One of the actions is to abort incomplete multipart uploads that can occur when an upload is interrupted. By configuring an S3 Lifecycle policy to clean up incomplete multipart uploads, the company can reduce its storage costs and avoid paying for parts that are not used.
Option C is incorrect because expired object delete markers are automatically deleted by Amazon S3 and do not incur any storage costs3. Therefore, configuring an S3 Lifecycle policy to clean up expired object delete markers will not have any effect on the company's storage costs.
Option D is incorrect because S3 Standard-IA is a storage class for data that is accessed less frequently, but requires rapid access when needed1. It has a lower storage cost than S3 Standard, but it has a higher retrieval cost and a minimum storage duration charge of 30 days. Therefore, moving assets to S3 Standard-IA after 30 days may not optimize the company's storage costs if the assets are still accessed occasionally.
Option E is incorrect because S3 One Zone-IA is a storage class for data that is accessed less frequently, but requires rapid access when needed1. It has a lower storage cost than S3 Standard-IA, but it stores data in only one Availability Zone and has less resilience than other storage classes. It also has a higher retrieval cost and a minimum storage duration charge of 30 days. Therefore, moving assets to S3 One Zone-IA after 30 days may not optimize the company's storage costs if the assets are still accessed occasionally or require high availability. Reference URL: 1: https://docs.aws.amazon.com/AmazonS3/latest/userguide/storage-class-intro.html 2: https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lifecycle-mgmt.html 3: https://docs.aws.amazon.com/AmazonS3/latest/userguide/delete-or-empty-bucket.html#delete-bucket-considerations : https://docs.aws.amazon.com/AmazonS3/latest/userguide/mpuoverview.html : https://aws.amazon.com/certification/certified-solutions-architect-associate/
NEW QUESTION # 618
A company has deployed a web application on AWS. The company hosts the backend database on Amazon RDS for MySQL with a primary DB instance and five read replicas to support scallng needs. The read replicas must lag no more than 1 second behind the primary DB instance. The database routinely runs scheduled stored procedures.
As traffic on the website increases, the replicas experince addtional lag during periods of peak load. A solutions architect must reduce the replication lag as much as possible. The solutin architect must minimize changes to the application code and must minimize ongoing operational overhead.
Which solution will meet these requirements?
Answer: B
Explanation:
Explanation
Option A is the most appropriate solution for reducing replication lag without significant changes to the application code and minimizing ongoing operational overhead. Migrating the database to Amazon Aurora MySQL allows for improved replication performance and higher scalability compared to Amazon RDS for MySQL. Aurora Replicas provide faster replication, reducing the replication lag, and Aurora Auto Scaling ensures that there are enough Aurora Replicas to handle the incoming traffic. Additionally, Aurora MySQL native functions can replace the stored procedures, reducing the load on the database and improving performance.
NEW QUESTION # 619
A company is developing a social media application that must scale rapidly and handle long- running, ordered processes that store large amounts of relational data. Components must scale independently and evolve without downtime. Which combination of AWS services will meet these requirements?
Answer: D
Explanation:
The application requires independent scaling, ordered asynchronous processing, and relational data storage. Option A provides a microservices-oriented, decoupled architecture using managed services.
Amazon ECS with AWS Fargate enables containerized workloads without server management and allows each component to scale independently. Amazon RDS supports relational data storage for user profiles and content. Amazon SQS ensures reliable, ordered message processing and decouples long-running background tasks, allowing services to evolve independently.
NEW QUESTION # 620
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