PMLE Collaborating to manage data and models Practice Question
This PMLE practice question tests your understanding of collaborating to manage data and models. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
A data scientist wants to share a trained model with the team for review before deployment. The model is stored in Vertex AI Model Registry. What is the recommended way to grant the team read access to the model?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Grant the IAM role 'roles/aiplatform.viewer' to the team members on the project.
Option A is correct because Vertex AI Model Registry uses Cloud IAM, and granting the 'roles/aiplatform.viewer' role provides read access to all model versions. Option B is wrong because too broad. Option C is wrong because Cloud Storage IAM is separate and not sufficient for Vertex AI models. Option D is wrong because the bucket ACL does not apply to Vertex AI.
Key principle: ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Grant the IAM role 'roles/aiplatform.admin' to the team members.
Why it's wrong here
Admin role gives too many permissions, including deletion.
✗
Export the model as a local file and share it via a shared drive.
Why it's wrong here
Does not leverage Vertex AI's version control and is not a best practice.
✓
Grant the IAM role 'roles/aiplatform.viewer' to the team members on the project.
Why this is correct
This role allows viewing models in Vertex AI.
Related concept
Standard ACLs match source addresses.
✗
Add the team members to the Cloud Storage bucket ACL with 'READER' access.
Why it's wrong here
Bucket ACL does not give access to Vertex AI model metadata.
Common exam traps
Common exam trap: ACLs stop at the first match
ACLs are processed top to bottom. The first matching entry wins, and an implicit deny usually exists at the end.
Detailed technical explanation
How to think about this question
ACL questions test precision: source, destination, protocol, port and direction. A generally correct ACL can still fail if it is applied on the wrong interface or in the wrong direction.
KKey Concepts to Remember
Standard ACLs match source addresses.
Extended ACLs can match source, destination, protocol and ports.
The first matching ACL entry is used.
There is usually an implicit deny at the end.
TExam Day Tips
→Check inbound versus outbound direction.
→Read the ACL from top to bottom.
→Look for a broader permit or deny above the intended line.
Key takeaway
ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
Review ACL processing order, placement rules (standard near destination, extended near source), and inbound vs outbound direction. Study wildcard masks and implicit deny. Then practise related PMLE ACL questions on filtering logic and placement.
Collaborating to manage data and models — This question tests Collaborating to manage data and models — Standard ACLs match source addresses..
What is the correct answer to this question?
The correct answer is: Grant the IAM role 'roles/aiplatform.viewer' to the team members on the project. — Option A is correct because Vertex AI Model Registry uses Cloud IAM, and granting the 'roles/aiplatform.viewer' role provides read access to all model versions. Option B is wrong because too broad. Option C is wrong because Cloud Storage IAM is separate and not sufficient for Vertex AI models. Option D is wrong because the bucket ACL does not apply to Vertex AI.
What should I do if I get this PMLE question wrong?
Review ACL processing order, placement rules (standard near destination, extended near source), and inbound vs outbound direction. Study wildcard masks and implicit deny. Then practise related PMLE ACL questions on filtering logic and placement.
What is the key concept behind this question?
Standard ACLs match source addresses.
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Question Discussion
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