AWS Certified Solutions Architect - Professional
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A company has set up a web application with AWS WAF logging to Amazon S3 via Amazon Kinesis Data Firehose. They have implemented a daily Amazon Athena query to analyze the previous day's AWS WAF logs, which have a consistent volume. Despite this, the query execution time has been increasing over time. A solutions architect is tasked with designing a solution to prevent this increase in query time while minimizing operational overhead. What is the most effective solution to achieve this goal?
A
Develop an AWS Lambda function to merge each day's AWS WAF logs into a single log file.
B
Configure AWS WAF to log data into a new S3 bucket daily to reduce the amount of data scanned.
C
Adjust the Kinesis Data Firehose settings to partition the S3 data by date and time, create external tables in Amazon Redshift, and use Amazon Redshift Spectrum to query the data.
D
Alter the Kinesis Data Firehose settings and Athena table schema to partition the data by date and time, and modify the Athena query to only access the necessary partitions.