You work as a machine learning specialist for the department of defense in the NSA (National Security Agency). The NSA is responsible for security in the ports of entry around the United States. You need to process real-time video streams from airports around the country to identify questionable activity within the airport facilities and send the streaming data to SageMaker to be used as training data for your model. Your model needs to trigger an alert system when a security event is detected. What AWS services would you use to create this system most accurately and cost-effectively?

Answer options:

A.Use AWS Rekognition to process your video streams and send the processed data to your SageMaker model. When the model detects a security event, a lambda function is triggered to publish an SNS message to the alert system.
B.Use AWS Elastic Transcoder to process the video streams and send the processed data to your SageMaker model. When the model detects a security event, a lambda function is triggered to publish an SNS message to the alert system.
C.Use Amazon Kinesis Video Streams to stream the video to a set of processing workers running in ECS Fargate. The workers send the video data to your SageMaker machine learning model which identifies alert situations. These alerts are processed by Kinesis Data Streams which uses a lambda function to trigger the alert system.
D.Use Amazon Kinesis Data Streams to process your video data using lambda functions which push out an SNS notification to the alert system when a security event is detected.

Answer: C
Option A is incorrect. The AWS Rekognition service is not meant to process streams. It works with Kinesis Video Streams to provide this capability. Also, it needs another component to send its output to your SageMaker model. This part of the solution is missing.
Option B is incorrect. The Amazon Elastic Transcoder service is used to convert video files from one format to another. It would not be useful to stream video to a processing service. (See the AWS documentation titled Amazon Elastic Transcoder)
Option C is correct. The Amazon Kinesis Video Streams service will stream your videos to a processing service that feeds your machine learning model running in SageMaker. Kinesis Streams using lambda to trigger event consumption.(See the AWS machine learning blog titled Analyze live video at scale in real-time using Amazon Kinesis Video Streams and Amazon SageMaker)
Option D is incorrect. This option lacks the machine learning component of the solution.
Reference:
Please see the Amazon Kinesis Video Streams documentation.
See a depiction of the proposed solution (in the AWS machine Learning blog titled: Analyze live video at scale in real-time using Amazon Kinesis Video Streams and Amazon SageMaker)