AWS Certified Data Engineer Associate · Free Practice Question Medium
Question 53
A DevOps team is responsible for monitoring and troubleshooting a fleet of EC2 instances running web applications in AWS. They need an efficient way to analyze and query the log data generated by these applications, which are stored in Amazon CloudWatch Logs. The team wants to quickly identify errors and understand usage patterns through log analysis.
Which AWS service or feature should the DevOps team use for effective real-time analysis and querying of log data stored in Amazon CloudWatch Logs?
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A
Set up Amazon Athena to query log data directly from CloudWatch Logs.
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B
Configure Amazon Elasticsearch Service for log analytics and visualization.
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C
Implement AWS X-Ray for in-depth analysis and tracing of application logs.
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D
Use CloudWatch Logs Insights to perform queries and analyze the log data.
Reveal correct answer
Correct answer: D
Explanation
CloudWatch Logs Insights is the most suitable tool for the DevOps team's requirements. It provides an interactive interface to query and analyze log data stored in CloudWatch Logs.
Logs Insights enables the team to execute complex queries on their log data, helping them efficiently analyze and visualize operational data.
It's particularly useful for identifying trends, pinpointing errors, and extracting valuable insights from log data, which is essential for monitoring and troubleshooting their web applications.
CORRECT: "Use CloudWatch Logs Insights to perform queries and analyze the log data" is the correct answer (as explained above.)
INCORRECT: "Implement AWS X-Ray for in-depth analysis and tracing of application logs" is incorrect.
AWS X-Ray is more focused on providing insights into the performance of distributed applications and services, rather than log analysis. It is used for tracing requests as they move through distributed systems but does not specifically cater to querying and analyzing log data like CloudWatch Logs Insights.
INCORRECT: "Set up Amazon Athena to query log data directly from CloudWatch Logs" is incorrect.
While Amazon Athena can be used to query large-scale datasets, it is not directly integrated with CloudWatch Logs for log analysis. Athena is more suited for querying data stored in Amazon S3 and does not offer the real-time log analytics capabilities provided by CloudWatch Logs Insights.
INCORRECT: "Configure Amazon Elasticsearch Service for log analytics and visualization" is incorrect.
Amazon Elasticsearch Service is a powerful tool for log analytics and visualization, but it involves setting up and managing an Elasticsearch cluster. For real-time analysis and querying of log data, CloudWatch Logs Insights offers a more direct and integrated solution within the AWS ecosystem, especially for logs stored in CloudWatch.
References:
https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/AnalyzingLogData.html
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https://digitalcloud.training/aws-certified-data-engineer-associate-cheat-sheet/
Discussion
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