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Free AWS-CERTIFIED-SOLUTIONS-ARCHITECT-PROFESSIONAL-SAP-C02 – Amazon AWS-CERTIFIED-SOLUTIONS-ARCHITECT-PROFESSIONAL-SAP-C02 Practice Test Question

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Showing 43–45 of 53 questions

Question 43 (Topic 1)

A company needs to gather data from an experiment in a remote location that does not have internet connectivity. During the experiment, sensors that are connected to a local network will generate 6 TB of data in a proprietary format over the course of 1 week. The sensors can be configured to upload their data files to an FTP server periodically, but the sensors do not have their own FTP server. The sensors also do not support other protocols. The company needs to collect the data centrally and move the data to object storage in the AWS Cloud as soon as possible after the experiment. Which solution will meet these requirements?

Select an option, then click Submit answer.

  • ○ Order an AWS Snowball Edge Compute Optimized device. Connect the device to the local network. Configure AWS DataSync with a target bucket name, and unload the data over NFS to the device. After the experiment, return the device to AWS so that the data can be loaded into Amazon S3.
  • ○ Order an AWS Snowcone device, including an Amazon Linux 2 AMI. Connect the device to the local network. Launch an Amazon EC2 instance on the device. Create a shell script that periodically downloads data from each sensor. After the experiment, return the device to AWS so that the data can be loaded as an Amazon Elastic Block Store (Amazon EBS) volume.
  • ○ Order an AWS Snowcone device, including an Amazon Linux 2 AMI. Connect the device to the local network. Launch an Amazon EC2 instance on the device. Install and configure an FTP server on the EC2 instance. Configure the sensors to upload data to the EC2 instance. After the experiment, return the device to AWS so that the data can be loaded into Amazon S3.
  • ○ Order an AWS Snowcone device. Connect the device to the local network. Configure the device to use Amazon FSx. Configure the sensors to upload data to the device. Configure AWS DataSync on the device to synchronize the uploaded data with an Amazon S3 bucket. Return the device to AWS so that the data can be loaded as an Amazon Elastic Block Store (Amazon EBS) volume.
Question 44 (Topic 1)

A company that has multiple business units is using AWS Organizations with all features enabled. The company has implemented an account structure in which each business unit has its own AWS account. Administrators in each AWS account need to view detailed cost and utilization data for their account by using Amazon Athena. Each business unit can have access to only its own cost and utilization data. The IAM policies that govern the ability to set up AWS Cost and Usage Reports are in place. A central Cost and Usage Report that contains all data for the organization is already available in an Amazon S3 bucket. Which solution will meet these requirements with the LEAST operational complexity?

Select an option, then click Submit answer.

  • ○ In the organization's management account, use AWS Resource Access Manager (AWS RAM) to share the Cost and Usage Report data with each member account.
  • ○ In the organization's management account, configure an S3 event to invoke an AWS Lambda function each time a new file arrives in the S3 bucket that contains the central Cost and Usage Report. Configure the Lambda function to extract each member account’s data and to place the data in Amazon S3 under a separate prefix. Modify the S3 bucket policy to allow each member account to access its own prefix.
  • ○ In each member account, access AWS Cost Explorer. Create a new report that contains relevant cost information for the account. Save the report in Cost Explorer. Provide instructions that the account administrators can use to access the saved report.
  • ○ In each member account, create a new S3 bucket to store Cost and Usage Report data. Set up a Cost and Usage Report to deliver the data to the new S3 bucket.
Question 45 (Topic 1)

A company wants to record key performance indicators (KPIs) from its application as part of a strategy to convert to a user-based licensing schema. The application is a multi-tier application with a web-based UI. The company saves all log files to Amazon CloudWatch by using the CloudWatch agent. All logins to the application are saved in a log file. As part of the new license schema, the company needs to find out how many unique users each client has on a daily basis, weekly basis, and monthly basis. Which solution will provide this information with the LEAST change to the application?

Select an option, then click Submit answer.

  • ○ Configure an Amazon CloudWatch Logs metric filter that saves each successful login as a metric. Configure the user name and client name as dimensions for the metric.
  • ○ Change the application logic to make each successful login generate a call to the AWS SDK to increment a custom metric that records user name and client name dimensions in CloudWatch.
  • ○ Configure the CloudWatch agent to extract successful login metrics from the logs. Additionally, configure the CloudWatch agent to save the successful login metrics as a custom metric that uses the user name and client name as dimensions for the metric.
  • ○ Configure an AWS Lambda function to consume an Amazon CloudWatch Logs stream of the application logs. Additionally, configure the Lambda function to increment a custom metric in CloudWatch that uses the user name and client name as dimensions for the metric.