Vertex AI IAM Roles for Custom Training Jobs: Permission Requirements
This PMLE practice question tests your understanding of roles/aiplatform.user. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. A key principle to apply: roles/aiplatform.user. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A team has set up the IAM policy above on a Vertex AI project. Alice, a data scientist, reports that she cannot create a Vertex AI Training custom job using a pre-built container. Other data scientists in the group 'data-scientists@example.com' have the same issue. What is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
The answer is that the 'roles/aiplatform.user' role lacks the specific permission required to create custom training jobs using pre-built containers. While this role includes 'aiplatform.customJobs.create', it is intentionally scoped to only allow custom jobs that use managed models or notebooks, not those launched with a pre-built container image. For the latter, you need the 'roles/aiplatform.customJobUser' role, which grants the broader 'aiplatform.customJobs.create' permission without that restriction. On the Google Professional Machine Learning Engineer exam, this is a classic trap: candidates often assume the generic 'user' role covers all custom job creation, but the exam tests the granularity of IAM roles for Vertex AI training workflows. A common memory tip is to think of 'user' as limited to Vertex AI’s managed services, while 'customJobUser' is for your own containers—remember "custom needs custom."
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The 'roles/aiplatform.user' role does not grant the permission to create custom training jobs.
The 'roles/aiplatform.user' role does not include the 'aiplatform.customJobs.create' permission needed to create custom training jobs. To create custom training jobs, users need the 'roles/aiplatform.customJobUser' role. The correct answer is A because Alice and her group only have the basic user role, which lacks the necessary permission.
Key principle: roles/aiplatform.user
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✓
The 'roles/aiplatform.user' role does not grant the permission to create custom training jobs.
Why this is correct
Creating custom jobs requires 'aiplatform.customJobs.create', which is not in the aiplatform.user role.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
roles/aiplatform.user
✗
The Vertex AI Custom Code Service Agent service account is missing the 'roles/aiplatform.user' role.
Why it's wrong here
The service account has a different role and does not affect user permissions.
✗
Alice is not included in the 'data-scientists@example.com' group.
Why it's wrong here
The exhibit shows the group is in the policy, and Alice is presumably a member; the issue is with the role, not group membership.
✗
The service account 'vertex-ai@project.iam.gserviceaccount.com' does not have permission to access the training data.
Why it's wrong here
The issue is about job creation, not data access.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Candidates often assume that 'roles/aiplatform.user' provides all necessary permissions for Vertex AI tasks, but it does not cover custom job creation. The exam tests the distinction between the general user role and specific roles like 'roles/aiplatform.customJobUser'.
Trap categories for this question
Command / output trap
The exhibit shows the group is in the policy, and Alice is presumably a member; the issue is with the role, not group membership.
Detailed technical explanation
How to think about this question
In Vertex AI, the 'roles/aiplatform.user' role is a basic role that allows using Vertex AI resources like notebooks and models but does not include permissions for creating custom training jobs. The 'roles/aiplatform.customJobUser' role explicitly grants 'aiplatform.customJobs.create' and related permissions. Under the hood, IAM policies are evaluated based on the permissions attached to the user or group, and the absence of the custom job permission results in a 403 error when attempting to create a custom job, even if the user has other Vertex AI permissions.
KKey Concepts to Remember
roles/aiplatform.user
roles/aiplatform.customJobUser
Custom training job
Pre-built container
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
roles/aiplatform.user
Real-world example
How this comes up in practice
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
Got this wrong? Here's your next step.
Review roles/aiplatform.user, then practise related PMLE questions on the same topic to reinforce the concept.
The correct answer is: The 'roles/aiplatform.user' role does not grant the permission to create custom training jobs. — The 'roles/aiplatform.user' role does not include the 'aiplatform.customJobs.create' permission needed to create custom training jobs. To create custom training jobs, users need the 'roles/aiplatform.customJobUser' role. The correct answer is A because Alice and her group only have the basic user role, which lacks the necessary permission.
What should I do if I get this PMLE question wrong?
Review roles/aiplatform.user, then practise related PMLE questions on the same topic to reinforce the concept.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
roles/aiplatform.user
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