Which architecture outlined below win meet the initial …

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?

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?

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.

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Mari

Mari

B – Kinesis is a real-time data processing service.
Amazon Kinesis Firehose is the easiest way to ingest streaming data into Amazon Redshift. Amazon Kinesis Firehose automatically batches and compresses data before loading it into Amazon Redshift, and makes the data available for processing and analytics. It offers a serverless architecture, so all you have to do is specify the destination Redshift cluster, provide a Redshift COPY command, and send the data to the service from mobile devices, sensors, IoT telemetry, and other data sources
https://aws.amazon.com/kinesis/data-firehose/firehose-to-redshift/

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