Câu 12: Google Cloud Professional Machine Learning Engineer

You manage a team of data scientists who use a cloud-based backend system to submit training jobs. This system has become very difficult to administer, and you want to use a managed service instead. The data scientists you work with use many different frameworks, including Keras, PyTorch, theano, Scikit-learn, and custom libraries. What should you do?

1. A. Use the AI Platform custom containers feature to receive training jobs using any framework. — đáp án hiện tại
2. B. Configure Kubeflow to run on Google Kubernetes Engine and receive training jobs through TF Job.
3. C. Create a library of VM images on Compute Engine, and publish these images on a centralized repository.
4. D. Set up Slurm workload manager to receive jobs that can be scheduled to run on your cloud infrastructure.