Your company is in the process of developing a next generation pet collar that collects biometric
information to assist families with promoting healthy lifestyles for their pets. Each collar will push
30kb of biometric data in JSON format every 2 seconds to a collection platform that will process
and analyze the data providing health trending information back to the pet owners and
veterinarians via a web portal. Management has tasked you to architect the collection platform
ensuring the following requirements are met:
– Provide the ability for real-time analytics of the inbound biometric
data
– Ensure processing of the biometric data is highly durable, elastic
and parallel
– The results of the analytic processing should be persisted for data
mining
Which architecture outlined below will meet the initial requirements for the collection platform?
A.
Utilize Amazon Kinesis to collect the inbound sensor data, analyze the data with Kinesis clients
and save the results to a Redshift cluster using EMR.
B.
Utilize SQS to collect the inbound sensor data, analyze the data from SQS with Amazon Kinesis
and save the results to a Microsoft SQL Server RDS Instance.
C.
Utilize S3 to collect the inbound sensor data, analyze the data from S3 with a daily scheduled
Data Pipeline and save the results to a Redshift Cluster.
D.
Utilize EMR to collect the inbound sensor data, analyze the data from EMR with Amazon Kinesis
and save the results to DynamoDB.