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Free SAA-C03 Exam Braindumps (page: 78)

Page 78 of 247
PDF with 981 Questions

A solutions architect needs to optimize storage costs. The solutions architect must identify any Amazon S3 buckets that are no longer being accessed or are rarely accessed.

Which solution will accomplish this goal with the LEAST operational overhead?

  1. Analyze bucket access patterns by using the S3 Storage Lens dashboard for advanced activity metrics.
  2. Analyze bucket access patterns by using the S3 dashboard in the AWS Management Console.
  3. Turn on the Amazon CloudWatch BucketSizeBytes metric for buckets. Analyze bucket access patterns by using the metrics data with Amazon Athena.
  4. Turn on AWS CloudTrail for S3 object monitoring. Analyze bucket access patterns by using CloudTrail logs that are integrated with Amazon CloudWatch Logs.

Answer(s): A

Explanation:

S3 Storage Lens is a fully managed S3 storage analytics solution that provides a comprehensive view of object storage usage, activity trends, and recommendations to optimize costs. Storage Lens allows you to analyze object access patterns across all of your S3 buckets and generate detailed metrics and reports.


Reference:

https://aws.amazon.com/blogs/aws/s3-storage-lens/



A company sells datasets to customers who do research in artificial intelligence and machine learning (AI/ML). The datasets are large, formatted files that are stored in an Amazon S3 bucket in the us-east-1 Region. The company hosts a web application that the customers use to purchase access to a given dataset. The web application is deployed on multiple Amazon EC2 instances behind an Application Load Balancer. After a purchase is made, customers receive an S3 signed URL that allows access to the files.

The customers are distributed across North America and Europe. The company wants to reduce the cost that is associated with data transfers and wants to maintain or improve performance.

What should a solutions architect do to meet these requirements?

  1. Configure S3 Transfer Acceleration on the existing S3 bucket. Direct customer requests to the S3 Transfer Acceleration endpoint. Continue to use S3 signed URLs for access control.
  2. Deploy an Amazon CloudFront distribution with the existing S3 bucket as the origin. Direct customer requests to the CloudFront URL. Switch to CloudFront signed URLs for access control.
  3. Set up a second S3 bucket in the eu-central-1 Region with S3 Cross-Region Replication between the buckets. Direct customer requests to the closest Region. Continue to use S3 signed URLs for access control.
  4. Modify the web application to enable streaming of the datasets to end users. Configure the web application to read the data from the existing S3 bucket. Implement access control directly in the application.

Answer(s): B



A company is using AWS to design a web application that will process insurance quotes. Users will request quotes from the application. Quotes must be separated by quote type, must be responded to within 24 hours, and must not get lost. The solution must maximize operational efficiency and must minimize maintenance.

Which solution meets these requirements?

  1. Create multiple Amazon Kinesis data streams based on the quote type. Configure the web application to send messages to the proper data stream. Configure each backend group of application servers to use the Kinesis Client Library (KCL) to pool messages from its own data stream.
  2. Create an AWS Lambda function and an Amazon Simple Notification Service (Amazon SNS) topic for each quote type. Subscribe the Lambda function to its associated SNS topic. Configure the application to publish requests for quotes to the appropriate SNS topic.
  3. Create a single Amazon Simple Notification Service (Amazon SNS) topic. Subscribe Amazon Simple Queue Service (Amazon SQS) queues to the SNS topic. Configure SNS message filtering to publish messages to the proper SQS queue based on the quote type. Configure each backend application server to use its own SQS queue.
  4. Create multiple Amazon Kinesis Data Firehose delivery streams based on the quote type to deliver data streams to an Amazon OpenSearch Service cluster. Configure the application to send messages to the proper delivery stream. Configure each backend group of application servers to search for the messages from OpenSearch Service and process them accordingly.

Answer(s): C

Explanation:

Quote types need to be separated: SNS message filtering can be used to publish messages to the appropriate SQS queue based on the quote type, ensuring that quotes are separated by type.
Quotes must be responded to within 24 hours and must not get lost: SQS provides reliable and scalable queuing for messages, ensuring that quotes will not get lost and can be processed in a timely manner. Additionally, each backend application server can use its own SQS queue, ensuring that quotes are processed efficiently without any delay.
Operational efficiency and minimizing maintenance: Using a single SNS topic and multiple SQS queues is a scalable and cost-effective approach, which can help to maximize operational efficiency and minimize maintenance. Additionally, SNS and SQS are fully managed services, which means that the company will not need to worry about maintenance tasks such as software updates, hardware upgrades, or scaling the infrastructure.

This is the SNS fan-out technique where you will have one SNS service to many SQS services
https://docs.aws.amazon.com/sns/latest/dg/sns-sqs-as-subscriber.html



A company has an application that runs on several Amazon EC2 instances. Each EC2 instance has multiple Amazon Elastic Block Store (Amazon EBS) data volumes attached to it. The application’s EC2 instance configuration and data need to be backed up nightly. The application also needs to be recoverable in a different AWS Region.

Which solution will meet these requirements in the MOST operationally efficient way?

  1. Write an AWS Lambda function that schedules nightly snapshots of the application’s EBS volumes and copies the snapshots to a different Region.
  2. Create a backup plan by using AWS Backup to perform nightly backups. Copy the backups to another Region. Add the application’s EC2 instances as resources.
  3. Create a backup plan by using AWS Backup to perform nightly backups. Copy the backups to another Region. Add the application’s EBS volumes as resources.
  4. Write an AWS Lambda function that schedules nightly snapshots of the application's EBS volumes and copies the snapshots to a different Availability Zone.

Answer(s): B

Explanation:

When you back up an EC2 instance, AWS Backup will protect all EBS volumes attached to the instance, and it will attach them to an AMI that stores all parameters from the original EC2 instance except for two.


Reference:

https://aws.amazon.com/vi/blogs/aws/aws-backup-ec2-instances-efs-single-file-restore-and-cross-region-backup/



Page 78 of 247



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