The answer is that the model was created in a different region. Vertex AI models are regional resources, meaning the `gcloud ai models list` command only returns models stored in the region specified by the `--region` flag or the default configured region. If 'model-v3' was created in a different region, it simply will not appear in the output for the current region, regardless of how recently it was created. On the Google Professional Machine Learning Engineer exam, this question tests your understanding of Vertex AI's regional resource model, a common trap where candidates assume model lists are global. Remember that unlike some other cloud services, Vertex AI models, endpoints, and datasets are scoped to a single region to control latency and data residency. A quick memory tip: think of each region as a separate filing cabinet—you can only see the files in the drawer you are currently looking in.
PMLE Practice Question: Collaborating within and across teams to manage data and models
This PMLE practice question tests your understanding of collaborating within and across teams 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.
Network Topology
Refer to the exhibit. A team runs the command above and sees only two models. They know there is a model 'model-v3' created three days ago. What is the most likely reason it is not listed?
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
✓
The model was created in a different region.
The `gcloud ai models list` command lists models within a specific region, as Vertex AI models are regional resources. If 'model-v3' was created in a different region, it would not appear in the output unless the `--region` flag is set to that region. This is the most likely reason the model is missing from the list.
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.
✓
The model was created in a different region.
Why this is correct
The --region flag filters models by location; missing models are likely in another region.
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.
✗
The model is in a different project.
Why it's wrong here
The command uses the current project; if it were a different project, the project flag would need to be set.
✗
The model is not deployed to an endpoint.
Why it's wrong here
Model listing does not require deployment.
✗
The model's display name contains a hyphen.
Why it's wrong here
Hyphens are allowed in display names.
✗
The model was created by a different user.
Why it's wrong here
All models in the project are visible regardless of creator (with appropriate permissions).
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the regional scope of Vertex AI resources, trapping candidates who assume model listing is global or project-wide, when in fact it is region-specific and requires the correct `--region` flag.
Trap categories for this question
Command / output trap
The command uses the current project; if it were a different project, the project flag would need to be set.
Detailed technical explanation
How to think about this question
Vertex AI models are regional resources, meaning each model is stored in a specific Google Cloud region (e.g., us-central1). The `gcloud ai models list` command defaults to the region set in the current configuration or the `--region` flag; if omitted, it may use a default region or the one from `gcloud config`. This regional isolation is enforced by the underlying resource hierarchy, and cross-region listing requires explicit region specification or aggregation via scripts. In real-world scenarios, teams often create models in multiple regions for latency or compliance, and forgetting to switch regions is a common oversight.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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.
Collaborating within and across teams to manage data and models — This question tests Collaborating within and across teams to manage data and models — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The model was created in a different region. — The `gcloud ai models list` command lists models within a specific region, as Vertex AI models are regional resources. If 'model-v3' was created in a different region, it would not appear in the output unless the `--region` flag is set to that region. This is the most likely reason the model is missing from the list.
What should I do if I get this PMLE 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.
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