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Amazon DOP-C01 exam is a challenging exam that requires a deep understanding of AWS services and best practices for DevOps implementation. AWS-DevOps-Engineer-Professional exam consists of 75 multiple-choice and multiple-response questions and you have 180 minutes to complete it. AWS-DevOps-Engineer-Professional exam is available in English, Japanese, Korean, and Simplified Chinese. The cost of the exam is $300 USD, and it can be taken online or in-person at a testing center.

Amazon AWS-DevOps certification exam, also known as AWS Certified DevOps Engineer - Professional (DOP-C01), is a highly regarded certification in the IT industry. AWS Certified DevOps Engineer - Professional certification is designed for individuals seeking to validate their expertise and experience in DevOps practices on the Amazon Web Services (AWS) platform. AWS-DevOps-Engineer-Professional Exam is intended for professionals who have a minimum of two years of experience working with AWS and a minimum of one year of experience in DevOps practices.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q222-Q227):

NEW QUESTION # 222
You have a large number of web servers in an Auto Scalinggroup behind a load balancer. On an hourly basis, you want to filter and process the logs to collect data on unique visitors, and then put that data in a durable data store in order to run reports. Web servers in the Auto Scalinggroup are constantly launching and terminating based on your scaling policies, but you do not want to lose any of the log data from these servers during a stop/termination initiated by a user or by Auto Scaling. What two approaches will meet these requirements? Choose two answers from the optionsgiven below.

• A. On the web servers, create a scheduled task that executes a script to rotate and transmit the logs to Amazon Glacier. Ensure that the operating system shutdown procedure triggers a logs transmission when the Amazon EC2 instance is stopped/terminated. Use Amazon Data Pipeline to process the data in Amazon Glacier and run reports every hour.
• B. On the web servers, create a scheduled task that executes a script to rotate and transmit the logs to an Amazon S3 bucket. Ensure that the operating system shutdown procedure triggers a logs transmission when the Amazon EC2 instance is stopped/terminated. Use AWS Data Pipeline to move log data from the Amazon S3 bucket to Amazon Redshift In order to process and run reports every hour.
• C. Install an AWS Data Pipeline Logs Agent on every web server during the bootstrap process. Create a log group object in AWS Data Pipeline, and define Metric Filters to move processed log data directly from the web servers to Amazon Redshift and run reports every hour.
• D. Install an Amazon Cloudwatch Logs Agent on every web server during the bootstrap process. Create a CloudWatch log group and define Metric Filters to create custom metrics that track unique visitors from the streaming web server logs.
  Create a scheduled task on an Amazon EC2 instance that runs every hour to generate a new report based on the Cloudwatch custom metrics.

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