A district wants to reduce the crime rate aws video
ml-specialty video for a district wants to reduce the crime rate throughout its vicinity. They hired a team of data scientists to create a model to detect sharp
Full Certification Question
A district wants to reduce the crime rate throughout its vicinity. They hired a team of data scientists to create a model to detect sharp knives, automatic guns, pistols, or any dangerous weapon given a video stream. The data scientists used Amazon SageMaker to train 5 models and chose the best model. The district will setup 4 cameras throughout the vicinity and wants a solution where they are informed, along with the police, immediately if a person is holding a dangerous weapon in order for them to hide. Which of the following architectures is the most efficient for deployment given that they already have a containerized model, and they want a managed service to determine their compute capacity when applying inference?