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Answer: Configure the ALB to store logs in an Amazon S3 bucket. Use Amazon Athena to analyze the logs in Amazon S3.
The most operationally efficient solution for collecting and analyzing logs that include the client IP address, target IP address, target port, and user agent of each user accessing the application is to configure the ALB to store logs in an Amazon S3 bucket and then use Amazon Athena to analyze these logs. Amazon Athena is a serverless query service that makes it easy to analyze data in Amazon S3 using standard SQL. This approach eliminates the need to download and manually analyze log files using a spreadsheet application, which can be time-consuming and inefficient. Additionally, it leverages the scalability and cost-effectiveness of Amazon S3 for storage and Amazon Athena for analysis, providing a streamlined and efficient solution for log analysis.
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What is the most operationally efficient solution for a network engineer to collect and analyze logs, including client IP address, target IP address, target port, and user agent, for users accessing an application hosted on Amazon EC2 instances behind an Application Load Balancer (ALB) after a network security breach?
A
Configure the ALB to store logs in an Amazon S3 bucket. Download the files from Amazon S3, and use a spreadsheet application to analyze the logs.
B
Configure the ALB to push logs to Amazon Kinesis Data Streams. Use Amazon Kinesis Data Analytics to analyze the logs.
C
Configure Amazon Kinesis Data Streams to stream data from the ALB to Amazon OpenSearch Service (Amazon Elasticsearch Service). Use search operations in Amazon OpenSearch Service (Amazon Elasticsearch Service) to analyze the data.
D
Configure the ALB to store logs in an Amazon S3 bucket. Use Amazon Athena to analyze the logs in Amazon S3.