A DevOps Engineer has several legacy applications that all generate different log formats. The Engineer must standardize the formats before writing them to Amazon S3 for querying and analysis. How can this requirement be met at the LOWEST cost?
A) Have the application send its logs to an Amazon EMR cluster and normalize the logs before sending them to Amazon S3
B) Have the application send its logs to Amazon QuickSight, then use the Amazon QuickSight SPICE engine to normalize the logs. Do the analysis directly from Amazon QuickSight
C) Keep the logs in Amazon S3 and use Amazon Redshift Spectrum to normalize the logs in place
D) Use Amazon Kinesis Agent on each server to upload the logs and have Amazon Kinesis Data Firehose use an AWS Lambda function to normalize the logs before writing them to Amazon S3

Question

Quizplus · Accepted Answer

Using Amazon Kinesis Data Firehose with an AWS Lambda function to normalize logs before writing them to Amazon S3 is cost-effective and scalable. It allows real-time processing and transformation of data without the need for managing infrastructure like EMR clusters.

A DevOps Engineer Has Several Legacy Applications That All Generate