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Answer: Enable Amazon EMR logging to capture application logs. Use Amazon CloudWatch Logs to log the EMR logs and configure alarms to send alerts based on specific log patterns. Use AWS Athena to query the logs stored in Amazon S3 and analyze the data using automation scripts.
Option A is the correct answer as it covers the necessary steps to analyze logs generated by a big data application running on Amazon EMR. Enabling EMR logging, configuring Amazon CloudWatch Logs, using AWS Athena to query and analyze the logs, and using automation scripts are all appropriate steps to analyze the logs using AWS services.
Author: LeetQuiz Editorial Team
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Your company is using AWS services to process and analyze data. You are tasked with analyzing logs generated by a big data application running on Amazon EMR. Describe the steps you would take to analyze the logs using AWS services, including the use of automation and best practices.
A
Enable Amazon EMR logging to capture application logs. Use Amazon CloudWatch Logs to log the EMR logs and configure alarms to send alerts based on specific log patterns. Use AWS Athena to query the logs stored in Amazon S3 and analyze the data using automation scripts.
B
Enable Amazon EMR logging to capture application logs. Use Amazon S3 to store the logs and configure lifecycle policies to archive old logs. Use AWS Athena to query the logs stored in Amazon S3 and analyze the data using automation scripts.
C
Enable AWS CloudTrail to track API calls made to Amazon EMR. Use Amazon CloudWatch Logs to log the EMR logs and configure alarms to send alerts based on specific log patterns. Use AWS Athena to query the logs stored in Amazon S3 and analyze the data using automation scripts.
D
Enable Amazon EMR logging to capture application logs. Use Amazon CloudWatch Logs to log the EMR logs and configure alarms to send alerts based on specific log patterns. Use Amazon EMR to analyze the logs stored in Amazon S3 and identify any performance issues.
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