Google Cloud Professional Cloud Architect PCA — Question 244
Topic 1 · Question 244 of 337
Topic 1 · Question 244
Your machine learning (ML) engineers use self-hosted Jupyter notebooks for tasks such as data preparation, model training, and fine-tuning. The operations team then deploys these models in various environments. You want to provide maximum flexibility for ML engineers, promote collaboration with a common toolset, and leverage Google Cloud's scalability, while following Google-recommended practices. What should you do?