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Answer: Use Amazon CloudWatch Logs to log the application data 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.
Option A is the correct answer as it covers the necessary steps to analyze the logs generated by a big data application running on Amazon EMR. Amazon CloudWatch Logs can be used to log the application data and send alerts based on log patterns, and AWS Athena can be used to query and analyze the logs stored in Amazon S3.
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Your company is using AWS services to process and analyze large volumes of data. You are tasked with analyzing the logs generated by a big data application running on Amazon EMR. Describe the steps you would take to analyze the logs using AWS services.
A
Use Amazon CloudWatch Logs to log the application data 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.
B
Use Amazon EMR to log the application data 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.
C
Use Amazon CloudWatch Logs to log the application data and configure alarms to send alerts based on specific log patterns. Use Amazon EMR to analyze the logs stored in Amazon S3.
D
Use AWS Glue to log the application data 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.
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