- A
Have each team work on a separate Google Cloud project
Why wrong: Separate projects make it difficult to share models and collaborate.
- B
Use custom metadata to tag each version and rely on team coordination
Why wrong: Coordination alone is error-prone and does not prevent conflicts.
- C
Deploy each team's model to a separate endpoint
Why wrong: Separate endpoints complicate traffic splitting and increase costs.
- D
Use Vertex AI Model Registry with staging and production channels, and implement CI/CD to control promotions
Model registry with staging/production allows controlled version management and rollback.
Question 306 of 1,000
hardMultiple ChoiceObjective-mapped
Managing Multiple Model Versions on Vertex AI
This PMLE practice question tests your understanding of pmle exam topics. 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.
Two teams independently develop two different versions of a model for the same use case. They both deploy to the same Vertex AI endpoint, causing conflicts. What is the best way to manage multiple model versions and avoid conflicts in a collaborative environment?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Quick Answer
The answer is to use Vertex AI Model Registry with staging and production channels, combined with CI/CD to control promotions. This approach is correct because the Model Registry acts as a central source of truth for managing multiple model versions on the same Vertex AI endpoint, allowing you to assign specific versions to staging or production traffic channels and enforce a controlled promotion workflow. On the Google Professional Machine Learning Engineer exam, this scenario tests your understanding of MLOps practices for collaborative environments, where the common trap is to assume that deploying to separate endpoints or using metadata tags alone resolves conflicts—these increase overhead or fail to enforce deployment order. A key memory tip is to think of the Model Registry as a "gatekeeper" for your endpoint: staging is your sandbox, production is your live traffic, and CI/CD is the key that unlocks promotions between them.
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
✓
Use Vertex AI Model Registry with staging and production channels, and implement CI/CD to control promotions
Option D is correct because Vertex AI Model Registry with staging and production channels provides a centralized system to manage model versions, track lineage, and control promotions via CI/CD pipelines. This prevents conflicts by enforcing a structured workflow for version updates. Option A is wrong because separate projects increase management overhead and do not address versioning within the same endpoint. Option B is wrong because custom metadata lacks enforcement of deployment order and can lead to manual errors. Option C is wrong because deploying to separate endpoints does not resolve version conflicts; it merely isolates models, increasing complexity and cost.
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.
- ✗
Have each team work on a separate Google Cloud project
Why it's wrong here
Separate projects make it difficult to share models and collaborate.
- ✗
Use custom metadata to tag each version and rely on team coordination
Why it's wrong here
Coordination alone is error-prone and does not prevent conflicts.
- ✗
Deploy each team's model to a separate endpoint
Why it's wrong here
Separate endpoints complicate traffic splitting and increase costs.
- ✓
Use Vertex AI Model Registry with staging and production channels, and implement CI/CD to control promotions
Why this is correct
Model registry with staging/production allows controlled version management and rollback.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
Visual reference
What to study next
Got this wrong? Here's your next step.
Identify which PMLE 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.
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FAQ
Questions learners often ask
What does this PMLE question test?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: Use Vertex AI Model Registry with staging and production channels, and implement CI/CD to control promotions — Option D is correct because Vertex AI Model Registry with staging and production channels provides a centralized system to manage model versions, track lineage, and control promotions via CI/CD pipelines. This prevents conflicts by enforcing a structured workflow for version updates. Option A is wrong because separate projects increase management overhead and do not address versioning within the same endpoint. Option B is wrong because custom metadata lacks enforcement of deployment order and can lead to manual errors. Option C is wrong because deploying to separate endpoints does not resolve version conflicts; it merely isolates models, increasing complexity and cost.
What should I do if I get this PMLE question wrong?
Identify which PMLE 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.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jun 24, 2026
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