A DevOps Engineer Manages a Large Commercial Website That Runs

Multiple Choice

A DevOps Engineer manages a large commercial website that runs on Amazon EC2. The website uses Amazon Kinesis Data Streams to collect and process web logs. The Engineer manages the Kinesis consumer application, which also runs on EC2. Spikes of data cause the Kinesis consumer application to fall behind, and the streams drop records before they can be processed. What is the FASTEST method to improve stream handling?

A) Modify the Kinesis consumer application to store the logs durably in amazon S3. Use Amazon EMR to process the data directly on S3 to derive customer insights and store the results in S3.
B) Horizontally scale the Kinesis consumer application by adding more EC2 instances based on the GetRecord.IteratorAgeMiliseconds Amazon CloudWatch metric. Increase the Kinesis Data Streams retention period. Horizontally scale the Kinesis consumer application by adding more EC2 instances based on the GetRecord.IteratorAgeMiliseconds Amazon CloudWatch metric. Increase the Kinesis Data Streams retention period.
C) Convert the Kinesis consumer application to run as an AWS Lambda function. Configure the Kinesis Data Streams as the event source for the Lambda function to process the data streams.
D) Increase the number of shards in the Kinesis Data Streams to increase the overall throughput so that the consumer processes data faster.