SAP-C02 · Question #424
SAP-C02 Question #424: Real Exam Question with Answer & Explanation
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Question
A manufacturing company is building an inspection solution for its factory. The company has IP cameras at the end of each assembly line. The company has used Amazon SageMaker to train a machine learning (ML) model to identify common defects from still images. The company wants to provide local feedback to factory workers when a defect is detected. The company must be able to provide this feedback even if the factory's internet connectivity is down. The company has a local Linux server that hosts an API that provides local feedback to the workers. How should the company deploy the ML model to meet these requirements?
Options
- ASet up an Amazon Kinesis video stream from each IP camera to AWS. Use Amazon EC2
- BDeploy AWS IoT Greengrass on the local server. Deploy the ML model to the Greengrass server.
- COrder an AWS Snowball device. Deploy a SageMaker endpoint the ML model and an Amazon
- DDeploy Amazon Monitron devices on each IP camera. Deploy an Amazon Monitron Gateway on
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