The answer is roles/aiplatform.user. This role is correct because it grants the specific permissions needed to both deploy a model to a Vertex AI Endpoint and create training jobs, including aiplatform.models.create and aiplatform.endpoints.deploy, without granting unnecessary broader access. On the Google Professional Data Engineer exam, this question tests your understanding of the principle of least privilege within Vertex AI IAM roles, often appearing as a trap where candidates confuse the read-only roles/aiplatform.modelUser (which only allows prediction requests) with the more operational aiplatform.user. A common memory tip is to think of "user" as the doer—someone who uses the platform to build and deploy—while "modelUser" is just a consumer who queries the endpoint. Avoid the temptation to select Editor or Owner, as those include unrelated permissions like managing storage or compute, which violate security best practices for a focused deployment role.
PDE Operationalizing machine learning models Practice Question
This PDE practice question tests your understanding of operationalizing machine learning models. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. 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.
Exhibit
Refer to the exhibit.
{
"policy": {
"bindings": [
{
"role": "roles/aiplatform.user",
"members": [
"user:alice@example.com"
]
},
{
"role": "roles/aiplatform.modelUser",
"members": [
"user:bob@example.com"
]
}
]
}
}
This IAM policy is applied at the project level. Alice can create models but cannot get predictions from existing models. Bob can only get predictions but cannot create new models.
A user named Charlie needs to deploy a model to a Vertex AI Endpoint and also create training jobs. Which role should be assigned to Charlie?
Refer to the exhibit.
{
"policy": {
"bindings": [
{
"role": "roles/aiplatform.user",
"members": [
"user:alice@example.com"
]
},
{
"role": "roles/aiplatform.modelUser",
"members": [
"user:bob@example.com"
]
}
]
}
}
This IAM policy is applied at the project level. Alice can create models but cannot get predictions from existing models. Bob can only get predictions but cannot create new models.
A
roles/aiplatform.user
aiplatform.user allows creating models, deploying endpoints, and running training jobs.
B
roles/owner
Why wrong: Owner is overly permissive; principle of least privilege recommends aiplatform.user.
C
roles/aiplatform.modelUser
Why wrong: modelUser only allows predictions on existing models.
D
roles/editor
Why wrong: Editor includes many extra permissions beyond Vertex AI.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
roles/aiplatform.user
Correct: B. aiplatform.user includes permissions to create models and deploy endpoints. Option A is wrong because modelUser is read-only for predictions. Option C is wrong because editor includes unrelated permissions. Option D is wrong because owner is too broad.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✓
roles/aiplatform.user
Why this is correct
aiplatform.user allows creating models, deploying endpoints, and running training jobs.
Related concept
Read the scenario before looking for a memorised answer.
✗
roles/owner
Why it's wrong here
Owner is overly permissive; principle of least privilege recommends aiplatform.user.
✗
roles/aiplatform.modelUser
Why it's wrong here
modelUser only allows predictions on existing models.
✗
roles/editor
Why it's wrong here
Editor includes many extra permissions beyond Vertex AI.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Identify which PDE exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Operationalizing machine learning models — This question tests Operationalizing machine learning models — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: roles/aiplatform.user — Correct: B. aiplatform.user includes permissions to create models and deploy endpoints. Option A is wrong because modelUser is read-only for predictions. Option C is wrong because editor includes unrelated permissions. Option D is wrong because owner is too broad.
What should I do if I get this PDE question wrong?
Identify which PDE exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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