The answer is to store model artifacts in Cloud Storage with unique versioned directories and to use Vertex AI Model Registry. These two practices work together to provide robust model versioning and lineage on Vertex AI, as versioned directories in Cloud Storage ensure each model iteration is immutable and traceable, while the Model Registry automatically captures metadata like training source, evaluation metrics, and deployment history. On the Google Professional Machine Learning Engineer exam, this question tests your understanding of production MLOps patterns—specifically that lineage requires preserving all versions, not just the latest. A common trap is choosing to keep only the latest version to save costs, which breaks auditability and rollback capabilities. Remember the mnemonic: “Registry for records, Buckets for backups”—the Model Registry tracks the lineage, and versioned Cloud Storage buckets store the actual artifacts.
PMLE Scaling prototypes into ML models Practice Question
This PMLE practice question tests your understanding of scaling prototypes into ml 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.
An ML team is converting a prototype model to a production pipeline using Vertex AI. They want to ensure model versioning and lineage. Which two practices should they adopt? (Select TWO)
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 to manage model versions.
Options A and B are correct. Storing model artifacts in Cloud Storage with versioned directories and using Vertex AI Model Registry provide organized versioning and lineage tracking. Option C is wrong because keeping only the latest version loses history. Option D is wrong because using a separate GCP project per version is unnecessary and complex. Option E is wrong because not tracking versions is poor practice.
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.
✓
Use Vertex AI Model Registry to manage model versions.
Why this is correct
Integrates with other Vertex AI services for lineage.
Related concept
Read the scenario before looking for a memorised answer.
✗
Only keep the latest model version to save storage.
Why it's wrong here
Loses historical versions and reproducibility.
✓
Store model artifacts in Cloud Storage with unique versioned directories.
Why this is correct
Provides a clear version history.
Related concept
Read the scenario before looking for a memorised answer.
✗
Train models directly in production without tracking.
Why it's wrong here
No versioning or lineage; risky.
✗
Use a separate GCP project for each model version.
Why it's wrong here
Overly complex and not cost-effective.
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 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.
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.
Scaling prototypes into ML models — This question tests Scaling prototypes into ML models — 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 to manage model versions. — Options A and B are correct. Storing model artifacts in Cloud Storage with versioned directories and using Vertex AI Model Registry provide organized versioning and lineage tracking. Option C is wrong because keeping only the latest version loses history. Option D is wrong because using a separate GCP project per version is unnecessary and complex. Option E is wrong because not tracking versions is poor practice.
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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