A company hosts a portfolio of e-commerce websites across the Oregon, N.Virginia, Ireland and Sydney AWS regions. Each site keeps log files that captures user behavior. The company has built an application that generates batches of product recommendations with collaborative filtering in Oregon. Oregon was selected because the flagship site is hosted there and provides the largest collection of data to train machine learning models against. The other regions do NOT have enough historic data to train accurate machine learning models.
Which set of data processing steps improves recommendations for each region?
A . Use the e-commerce application in Oregon to write replica log files in each other region
B . Use Amazon S3 bucket replication to consolidate log entries and builds a single model in Oregon
C . Use Kinesis as a butler for web logs and replicate logs to the Kinesis streams of a neighboring region
D . Use the CloudWatch Logs agent to consolidate logs into a single CloudWatch logs group
Answer: D
Explanation:
https://cloudacademy.com/blog/centralized-log-management-with-aws-cloudwatch-part-1-of-3/