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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q53-Q58):

NEW QUESTION # 53
A company has built a high performance computing (HPC) cluster in AWS for a tightly coupled workload that generates a large number of shared files stored in Amazon EFS. The cluster was performing well when the number of Amazon EC2 instances in the cluster was 100. However, when the company increased the cluster size to 1,000 EC2 instances, overall performance was well below expectations
Which collection of design choices should a solutions architect make to achieve the maximum performance from the HPC cluster? (Select THREE.)

  • A. Launch the EC2 instances and attach elastic network interfaces in multiples of four.
  • B. Ensure the HPC cluster is launched within a single Availability Zone.
  • C. Ensure the cluster is launched across multiple Availability Zones.
  • D. Replace Amazon EFS with multiple Amazon EBS volumes in a RAID array.
  • E. Select EC2 instance types with an Elastic Fabric Adapter (EFA) enabled
  • F. Replace Amazon EFS with Amazon FSx for Lustre.

Answer: B,D,E


NEW QUESTION # 54
A company has implemented an ordering system using an event-driven architecture. During initial testing, the system stopped processing orders. Further log analysis revealed that one order message in an Amazon Simple Queue Service (Amazon SQS) standard queue was causing an error on the backend and blocking all subsequent order messages The visibility timeout of the queue is set to 30 seconds, and the backend processing timeout is set to 10 seconds. A solutions architect needs to analyze faulty order messages and ensure that the system continues to process subsequent messages.
Which step should the solutions architect take to meet these requirements?

  • A. Configure a new SQS standard queue as a dead-letter queue to isolate the faulty messages.
  • B. Reduce the visibility timeout of the queue to automatically remove the faulty message.
  • C. Configure a new SQS FIFO queue as a dead-letter queue to isolate the faulty messages.
  • D. Increase the backend processing timeout to 30 seconds to match the visibility timeout.

Answer: A

Explanation:
https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-dead-letter-queues.html


NEW QUESTION # 55
A solutions architect needs to advise a company on how to migrate its on-premises data processing application to the AWS Cloud. Currently, users upload input files through a web portal. The web server then stores the uploaded files on NAS and messages the processing server over a message queue. Each media file can take up to 1 hour to process. The company has determined that the number of media files awaiting processing is significantly higher during business hours, with the number of files rapidly declining after business hours.
What is the MOST cost-effective migration recommendation?

  • A. Create a queue using Amazon M. Configure the existing web server to publish to the new queue. When there are messages in the queue, create a new Amazon EC2 instance to pull requests from the queue and process the files. Store the processed files in Amazon EFS. Shut down the EC2 instance after the task is complete.
  • B. Create a queue using Amazon MO. Configure the existing web server to publish to the new queue.
    When there are messages in the queue, invoke an AWS Lambda function to pull requests from the queue and process the files. Store the processed files in Amazon EFS.
  • C. Create a queue using Amazon SQS. Configure the existing web server to publish to the new queue.
    When there are messages in the queue, invoke an AWS Lambda function to pull requests from the queue and process the files. Store the processed files in an Amazon S3 bucket.
  • D. Create a queue using Amazon SOS. Configure the existing web server to publish to the new queue. Use Amazon EC2 instances in an EC2 Auto Scaling group to pull requests from the queue and process the files. Scale the EC2 instances based on the SOS queue length. Store the processed files in an Amazon S3 bucket.

Answer: D

Explanation:
https://aws.amazon.com/blogs/compute/operating-lambda-performance-optimization-part-1/


NEW QUESTION # 56
A company hosts a data-processing application on Amazon EC2 instances. The application polls an Amazon Elastic File System (Amazon EFS) file system for newly uploaded files. When a new file is detected, the application extracts data from the file and runs logic to select a Docker container image to process the file. The application starts the appropriate container image and passes the file location as a parameter.
The data processing that the container performs can take up to 2 hours. When the processing is complete, the code that runs inside the container writes the file back to Amazon EFS and exits.
The company needs to refactor the application to eliminate the EC2 instances that are running the containers Which solution will meet these requirements?

  • A. Create an Amazon Elastic Container Service (Amazon ECS) cluster. Configure the processing to run as AWS Fargate tasks. Update and containerize the container selection logic to run as a Fargate service that starts the appropriate Fargate task. Configure an EFS event notification to invoke the Fargate service when files are added to the EFS file system.
  • B. Create AWS Lambda container images for the processing. Configure Lambda functions to use the container images. Extract the container selection logic to run as a decision Lambda function that invokes the appropriate Lambda processing function. Migrate the storage of file uploads to an Amazon S3 bucket.
  • C. Create an Amazon Elastic Container Service (Amazon ECS) cluster. Configure the processing to run as AWS Fargate tasks. Extract the container selection logic to run as an Amazon EventBridge rule that starts the appropriate Fargate task. Configure the EventBridge rule to run when files are added to the EFS file system.
  • D. Create an Amazon Elastic Container Service (Amazon ECS) cluster. Configure the processing to run as AWS Fargate tasks. Extract the container selection logic to run as an AWS Lambda function that starts the appropriate Fargate task. Migrate the storage of file uploads to an Amazon S3 bucket. Update the processing code to use Amazon S3. Configure an S3 event notification to invoke the Lambda function when objects are created.

Answer: B

Explanation:
Update the processing code to use Amazon S3. Configure an S3 event notification to invoke the decision Lambda function when objects are created.


NEW QUESTION # 57
A company is deploying a distributed in-memory database on a fleet of Amazon EC2 instances. The fleet consists of a primary node and eight worker nodes. The primary node is responsible for monitoring cluster health, accepting user requests, distributing user requests to worker nodes and sending an aggregate response back to a client. Worker nodes communicate with each other to replicate data partitions.
The company requires the lowest possible networking latency to achieve maximum performance.
Which solution will meet these requirements?

  • A. Launch compute optimized EC2 instances in a partition placement group
  • B. Launch memory optimized EC2 instances in a cluster placement group
  • C. Launch compute optimized EC2 instances in a spread placement group.
  • D. Launch memory optimized EC2 instances in a partition placement group

Answer: B

Explanation:
According to the AWS Certified Solutions Architect - Professional Official Amazon Text Book, a cluster placement group is a logical grouping of instances within a single Availability Zone. It is recommended for applications that need low network latency, high network throughput, or both. Network latency and throughput are improved because instances within the same placement group can communicate directly with each other over a high-speed, low-latency network connection. Memory-optimized instances are ideal for in-memory databases as they are optimized for high performance and low latency.


NEW QUESTION # 58
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