The answer is that Alice needs the roles/aiplatform.admin role to create a model in Vertex AI. This is correct because the IAM policy she is assigned likely grants only the roles/aiplatform.user role, which lacks the aiplatform.models.create permission required to provision new models. The roles/aiplatform.admin role provides full administrative access, including model creation, deletion, and management across the project, resolving the insufficient permissions error. On the Google Cloud Generative AI Leader exam, this scenario tests your understanding of IAM role granularity in Vertex AI—specifically that the user role is read-only for models, while the admin role is needed for write operations. A common trap is assuming any Vertex AI role can create models, but only admin or custom roles with the create permission suffice. Memory tip: think “User can use, Admin can add”—the user role lets you interact with existing models, but only an admin can create new ones.
Generative AI Leader Fundamentals of Generative AI Practice Question
This Generative AI Leader practice question tests your understanding of fundamentals of generative ai. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
Refer to the exhibit. A company has this IAM policy on a Vertex AI project. Alice complains she cannot create a new model. What is the most likely reason?
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.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
She needs the roles/aiplatform.admin role
The IAM policy shown in the exhibit likely grants only basic permissions (e.g., roles/aiplatform.user) which do not include the ability to create models. The roles/aiplatform.admin role provides full administrative access, including model creation, deletion, and management across the Vertex AI project. Without this role, Alice lacks the necessary aiplatform.models.create permission, which is why she cannot create a new model.
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.
✗
She needs the roles/aiplatform.modelUser role
Why it's wrong here
modelUser allows using but not creating models.
✓
She needs the roles/aiplatform.admin role
Why this is correct
Admin role has full access, including model creation.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
She needs the roles/aiplatform.modelAdmin role
Why it's wrong here
modelAdmin is not a built-in role; admin is the correct role.
✗
She needs the roles/aiplatform.modelCreator role
Why it's wrong here
modelCreator is not a built-in role; admin is needed.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that there is a specific 'modelCreator' or 'modelAdmin' role, when in fact Vertex AI uses a flat admin role (roles/aiplatform.admin) for all create/delete operations, and candidates confuse custom role names with predefined ones.
Detailed technical explanation
How to think about this question
Vertex AI IAM roles are hierarchical: roles/aiplatform.user allows viewing resources and using models, but creating a model requires the aiplatform.models.create permission, which is only included in roles/aiplatform.admin or a custom role. Under the hood, the IAM policy evaluation checks for this specific permission on the project or resource; if missing, the API call (e.g., projects.locations.models.create) returns a 403 Forbidden error. In real-world scenarios, a common mistake is granting roles/aiplatform.user to data scientists, which blocks model creation and forces unnecessary debugging.
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.
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
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 exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What does this Generative AI Leader question test?
Fundamentals of Generative AI — This question tests Fundamentals of Generative AI — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: She needs the roles/aiplatform.admin role — The IAM policy shown in the exhibit likely grants only basic permissions (e.g., roles/aiplatform.user) which do not include the ability to create models. The roles/aiplatform.admin role provides full administrative access, including model creation, deletion, and management across the Vertex AI project. Without this role, Alice lacks the necessary aiplatform.models.create permission, which is why she cannot create a new model.
What should I do if I get this Generative AI Leader question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
This Generative AI Leader practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the Generative AI Leader exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.