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Answer: Enable AWS CloudTrail to track API calls made to AWS Glue. Use Amazon CloudWatch Logs to log application data and configure alarms to send alerts based on specific log patterns. Analyze the logs using Amazon CloudWatch Logs Insights to identify the data quality issue.
Option D is the correct answer as it covers the necessary steps to troubleshoot a data quality issue in an ETL job using AWS Glue. Enabling AWS CloudTrail, configuring Amazon CloudWatch Logs, and using CloudWatch Logs Insights to analyze the logs are all appropriate steps to identify and resolve the issue.
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Your company is using AWS Glue to extract, transform, and load (ETL) data from various sources. You are tasked with troubleshooting an issue where the ETL job is failing due to a data quality problem. Describe the steps you would take to identify and resolve the issue.
A
Enable AWS CloudTrail to track API calls made to AWS Glue. Use Amazon CloudWatch Logs to log application data and configure alarms to send alerts based on specific log patterns. Analyze the logs using Amazon OpenSearch Service to identify the data quality issue.
B
Enable AWS CloudTrail to track API calls made to Amazon S3. Use Amazon CloudWatch Logs to log application data and configure alarms to send alerts based on specific log patterns. Analyze the logs using AWS Athena to identify the data quality issue.
C
Enable AWS CloudTrail to track API calls made to AWS Glue. Use Amazon CloudWatch Logs to log application data and configure alarms to send alerts based on specific log patterns. Analyze the logs using Amazon EMR to identify the data quality issue.
D
Enable AWS CloudTrail to track API calls made to AWS Glue. Use Amazon CloudWatch Logs to log application data and configure alarms to send alerts based on specific log patterns. Analyze the logs using Amazon CloudWatch Logs Insights to identify the data quality issue.