Google Professional Machine Learning Engineer
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You recently created a new Google Cloud project and tested submitting a Vertex AI Pipeline job using the Cloud Shell successfully. Now, you want to run your code from a Vertex AI Workbench user-managed notebook instance. After creating the instance and running the code on it, the job fails with an insufficient permissions error. What should you do to resolve this error and successfully run the job from the notebook instance?
A
Ensure that the Workbench instance that you created is in the same region of the Vertex AI Pipelines resources you will use.
B
Ensure that the Vertex AI Workbench instance is on the same subnetwork of the Vertex AI Pipeline resources that you will use.
C
Ensure that the Vertex AI Workbench instance is assigned the Identity and Access Management (IAM) Vertex AI User role.
D
Ensure that the Vertex AI Workbench instance is assigned the Identity and Access Management (IAM) Notebooks Runner role.