- A
Use gcloud ai models upload to overwrite model B with new settings.
Why wrong: Uploading model does not affect traffic split.
- B
Create a new endpoint and migrate traffic gradually using a load balancer.
Why wrong: Overly complex; Vertex AI supports traffic splitting natively.
- C
Use the gcloud ai endpoints update command to change traffic split.
Correct. The gcloud command can update traffic percentages.
- D
Delete model B and redeploy with a new traffic split.
Why wrong: Unnecessary; you can update traffic split without redeploying.
Question 833 of 1,000
PMLE Serving and Scaling Models Practice Question
This PMLE practice question tests your understanding of serving and scaling 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.
You have a Vertex AI endpoint with two deployed models: model A (champion) and model B (challenger). Traffic split is 90:10. You want to gradually increase model B's traffic to 50% over a week. What is the best way to update the traffic split?
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.
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 the gcloud ai endpoints update command to change traffic split.
The `gcloud ai endpoints update` command allows you to directly modify the traffic split of an existing Vertex AI endpoint without redeploying or recreating the endpoint. This is the intended method for gradually shifting traffic between deployed models, as it supports incremental updates to the `--traffic-split` parameter, enabling a controlled rollout from 90:10 to 50:50 over a week.
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 gcloud ai models upload to overwrite model B with new settings.
Why it's wrong here
Uploading model does not affect traffic split.
- ✗
Create a new endpoint and migrate traffic gradually using a load balancer.
Why it's wrong here
Overly complex; Vertex AI supports traffic splitting natively.
- ✓
Use the gcloud ai endpoints update command to change traffic split.
Why this is correct
Correct. The gcloud command can update traffic percentages.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Delete model B and redeploy with a new traffic split.
Why it's wrong here
Unnecessary; you can update traffic split without redeploying.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that you must recreate or redeploy resources to change configuration, when in fact Vertex AI endpoints support live updates via the `update` command, avoiding unnecessary downtime and complexity.
Detailed technical explanation
How to think about this question
Vertex AI endpoints use a traffic split map (e.g., `{'modelA': 90, 'modelB': 10}`) that is stored as part of the endpoint's configuration. The `gcloud ai endpoints update` command sends a PATCH request to the endpoint resource, updating only the `trafficSplit` field, which allows for atomic, zero-downtime adjustments. In a real-world scenario, you might automate this with a cron job or Cloud Scheduler to increment model B's traffic by ~5.7% each day (e.g., 10% → 15.7% → 21.4% ...) to achieve a smooth 7-day rollout.
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.
- →
Serving and Scaling Models — study guide chapter
Learn the concepts, then practise the questions
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FAQ
Questions learners often ask
What does this PMLE question test?
Serving and Scaling Models — This question tests Serving and Scaling Models — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use the gcloud ai endpoints update command to change traffic split. — The `gcloud ai endpoints update` command allows you to directly modify the traffic split of an existing Vertex AI endpoint without redeploying or recreating the endpoint. This is the intended method for gradually shifting traffic between deployed models, as it supports incremental updates to the `--traffic-split` parameter, enabling a controlled rollout from 90:10 to 50:50 over a week.
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: "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.
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Last reviewed: Jul 4, 2026
This PMLE 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 PMLE exam.
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