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Google Professional Machine Learning Engineer

280 Questions120 Minutes70% Passing Score▣ Updated: Sep 2026

Question 266 of 280

Single answer
You recently created a new Google Cloud project. After testing that you can submit a Vertex AI Pipeline job from the Cloud Shell, you want to use a Vertex AI Workbench user-managed notebook instance to run your code from that instance. You created the instance and ran the code but this time the job fails with an insufficient permissions error. What should you do?
AEnsure that the Workbench instance that you created is in the same region of the Vertex AI Pipelines resources you will use.
BEnsure that the Vertex AI Workbench instance is on the same subnetwork of the Vertex AI Pipeline resources that you will use.
CEnsure that the Vertex AI Workbench instance is assigned the Identity and Access Management (IAM) Vertex AI User role.
DEnsure that the Vertex AI Workbench instance is assigned the Identity and Access Management (IAM) Notebooks Runner role.
Correct Answer: C

Ensure that the Vertex AI Workbench instance is assigned the Identity and Access Management (IAM) Vertex AI User role.

Explanation

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