AWS Certified Solutions Architect – Professional — Question 43

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 win meet the initial requirements for the collection platform?

Answer options

• A. 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.
• B. 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.
• C. 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.
• D. Utilize EMR to collect the inbound sensor data, analyze the data from EUR with Amazon Kinesis and save me results to DynamoDB.

Correct answer: B

Explanation

Option B is correct because Amazon Kinesis allows for real-time data collection and analysis, which meets the requirement for real-time analytics, while also providing durability and parallel processing capabilities. Other options do not fulfill all the requirements; for example, option A relies on scheduled processing, which does not provide real-time analytics, and option C uses SQS which is not ideal for real-time data processing. Option D uses EMR incorrectly as it should be Kinesis for real-time analytics.