How should they implement this solution?

Your company provides car maintenance services. It is conducting an internal hackathon to identify new ideas that could expand their business. The teams have pitched different ideas and have started working on it. They have to present their application to the judges within 48 hours. A presentation alone is not enough; they have to demonstrate a working proof of concept. The team that you are mentoring is going to recommend additional ser-vices to drive in customers based on the brand of car they drive in. They need to be able to identify what brand of car the customer has, based on a photograph automatically taken at entry. They have already discovered an open source database of car images collected by online enthusiasts.

How should they implement this solution?
A . Use Deep Learning Containers that are preconfigured and optimized containers for deep learning environments.
B. Use AutoML Image – upload the images and let it create a working model for you.
C. Use TensorFlow to create a model that will identify the car brands; use the available data to train the model.
D. Use Cloud Vision AI that is able to detect logos. Write only the code to integrate in-to
your workflow.

Answer: B

Explanation:

It would be most straightforward to use AutoML Image. Put the images in Cloud Storage, point to it from AutoML, and start the model building process. Reference Link- https://cloud.google.com/automl

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