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Amazon MLS-C01 Exam - Topic 9 Question 8 Discussion

An office security agency conducted a successful pilot using 100 cameras installed at key locations within the main office. Images from the cameras were uploaded to Amazon S3 and tagged using Amazon Rekognition, and the results were stored in Amazon ES. The agency is now looking to expand the pilot into a full production system using thousands of video cameras in its office locations globally. The goal is to identify activities performed by non-employees in real time.Which solution should the agency consider?
C) Install AWS DeepLens cameras and use the DeepLens_Kinesis_Video module to stream video to Amazon Kinesis Video Streams for each camera. On each stream, use Amazon Rekognition Video and create a stream processor to detect faces from a collection on each stream, and alert when nonemployees are detected.
A) Use a proxy server at each local office and for each camera, and stream the RTSP feed to a unique Amazon Kinesis Video Streams video stream. On each stream, use Amazon Rekognition Video and create a stream processor to detect faces from a collection of known employees, and alert when non-employees are detected.
B) Use a proxy server at each local office and for each camera, and stream the RTSP feed to a unique Amazon Kinesis Video Streams video stream. On each stream, use Amazon Rekognition Image to detect faces from a collection of known employees and alert when non-employees are detected.
D) Install AWS DeepLens cameras and use the DeepLens_Kinesis_Video module to stream video to Amazon Kinesis Video Streams for each camera. On each stream, run an AWS Lambda function to capture image fragments and then call Amazon Rekognition Image to detect faces from a collection of known employees, and alert when non-employees are detected.

Amazon MLS-C01 Exam - Topic 9 Question 8 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 8
Topic #: 9
[All MLS-C01 Questions]

An office security agency conducted a successful pilot using 100 cameras installed at key locations within the main office. Images from the cameras were uploaded to Amazon S3 and tagged using Amazon Rekognition, and the results were stored in Amazon ES. The agency is now looking to expand the pilot into a full production system using thousands of video cameras in its office locations globally. The goal is to identify activities performed by non-employees in real time.

Which solution should the agency consider?

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Suggested Answer: C

https://aws.amazon.com/blogs/machine-learning/video-analytics-in-the-cloud-and-at-the-edge-with-aws-deeplens-and-kinesis-video-streams/

by Viola at May 05, 2022, 11:22 AM

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Rusty
8 months ago
D seems overly complicated for just face detection.
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Roy
8 months ago
Definitely going with C, love the idea of using DeepLens!
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Jesusa
8 months ago
Wait, can DeepLens really handle thousands of cameras?
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Stephane
8 months ago
I think B might be simpler, but not as effective.
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Dulce
8 months ago
Sounds like A is the best choice for real-time detection!
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Agustin
9 months ago
I'm pretty familiar with Versa Secure SD-WAN, so I think I can tackle this one.
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Elvera
9 months ago
This looks like a straightforward question on active listening principles. I'm pretty confident I know the answer, so I'll go with option A.
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