- (Topic 2)
A company’s website provides users with downloadable historical performance reports. The website needs a solution that will scale to meet the company’s website demands globally. The solution should be cost-effective, limit the provisioning of infrastructure resources, and provide the fastest possible response time.
Which combination should a solutions architect recommend to meet these requirements?
Correct Answer:
A
Cloudfront for rapid response and s3 to minimize infrastructure.
- (Topic 4)
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?
Correct Answer:
B
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 existing Kubernetes 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.
References:
✑ 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
- (Topic 2)
A company is planning to build a high performance computing (HPC) workload as a service solution that Is hosted on AWS A group of 16 AmazonEC2Ltnux Instances requires the lowest possible latency for node-to-node communication. The instances also need a shared block device volume for high-performing storage.
Which solution will meet these requirements?
Correct Answer:
A
1. lowest possible latency + node to node ==> cluster placement(must be within one AZ), so C, D out
* 2. For EBS Multi-Attach, up to 16 instances can be attached to a single volume==>we have 16 linux instance==>more close to A
* 3. "need a shared block device volume"==>EBS Multi-attach is Block Storage whereas EFS is File Storage==> B out
* 4. EFS automatically replicates data within and across 3 AZ==>we use cluster placement
so all EC2 are within one AZ.
* 5. EBS Multi-attach volumes can be used for clients within a single AZ. https://repost.aws/questions/QUK2RANw1QTKCwpDUwCCI72A/efs-vs-ebs-mult-attach
- (Topic 1)
A company hosts an application on AWS Lambda functions mat are invoked by an Amazon API Gateway API The Lambda functions save customer data to an Amazon Aurora MySQL database Whenever the company upgrades the database, the Lambda functions fail to establish database connections until the upgrade is complete The result is that customer data Is not recorded for some of the event
A solutions architect needs to design a solution that stores customer data that is created during database upgrades
Which solution will meet these requirements?
Correct Answer:
D
https://www.learnaws.org/2020/12/13/aws-rds-proxy-deep-dive/
RDS proxy can improve application availability in such a situation by waiting for the new database instance to be functional and maintaining any requests received from the application during this time. The end result is that the application is more resilient to issues with the underlying database.
This will enable solution to hold data till the time DB comes back to normal. RDS proxy is to optimally utilize the connection between Lambda and DB. Lambda can open multiple connection concurrently which can be taxing on DB compute resources, hence RDS proxy was introduced to manage and leverage these connections efficiently.
- (Topic 4)
A company hosts a serverless application on AWS. The application uses Amazon API Gateway, AWS Lambda, and an Amazon RDS for PostgreSQL database. The company notices an increase in application errors that result from database connection timeouts during times Of peak traffic or unpredictable traffic. The company needs a solution that reduces the application failures with the least amount of change to the code.
What should a solutions architect do to meet these requirements?
Correct Answer:
B
Using RDS Proxy, you can handle unpredictable surges in database traffic. Otherwise, these surges might cause issues due to oversubscribing connections or creating new connections at a fast rate. RDS Proxy establishes a database connection pool and reuses connections in this pool. This approach avoids the memory and CPU overhead of opening a new database connection each time. To protect the database against oversubscription, you can control the number of database connections that are created. https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/rds-proxy.html
