Exam Professional Machine Learning Engineer topic 1 question 51 discussion

I think should be C, As IAM roles are given to the entire AI Notebook resource, not to a specific instance.

ans: c https://cloud.google.com/ai-platform/prediction/docs/resource-labels#overview_of_labels You can add labels to your AI Platform Prediction jobs, models, and model versions, then use those labels to organize resources into categories when viewing or monitoring the resources. For example, you can label jobs by team (such as engineering or research) and development phase (prod or test), then filter the jobs based on the team and phase. Labels are also available on operations, but these labels are derived from the resource to which the operation applies. You cannot add or update labels on an operation. A label is a key-value pair, where both the key and the value are custom strings that you supp

B. Setting up different resources in separate projects can help separate the use of resources. From the official guide book

C) labels

C Although there are some questions where setting up a logging sink to BQ is the answer.

Went with C

Restricting access is not scalable and creates silos - better to document sharable resources through tagging, hence C.

C Resource tagging/labeling is the best way to manage ML resources for medium/big data science teams.

https://cloud.google.com/ai-platform/prediction/docs/resource-labels#overview_of_labels (A) applies only to notebooks wich is not enough