Question 436 of 500
Google Cloud's Generative AI OfferingsmediumMultiple ChoiceObjective-mapped

Generative AI Leader Google Cloud's Generative AI Offerings Practice Question

This Generative AI Leader practice question tests your understanding of google cloud's generative ai offerings. 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.

Exhibit

Refer to the exhibit.

{
  "name": "projects/123456789/locations/us-central1/endpoints/my-endpoint",
  "deployedModels": [
    {
      "id": "model-v1",
      "model": "projects/123456789/locations/us-central1/models/sentiment-model",
      "displayName": "Version 1",
      "trafficSplit": {"model-v1": 100}
    },
    {
      "id": "model-v2",
      "model": "projects/123456789/locations/us-central1/models/sentiment-model-v2",
      "displayName": "Version 2",
      "trafficSplit": {"model-v2": 0}
    }
  ],
  "trafficSplit": {"model-v1": 100, "model-v2": 0}
}

This is the output of `gcloud ai endpoints describe my-endpoint --region=us-central1`. You want to gradually shift 20% of traffic from model-v1 to model-v2.

Which command correctly updates the traffic split?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

  • Clue: "which command"

    Why it matters: Tests specific CLI syntax. Recall the exact command and its required context — near-synonyms and partial matches are common distractors.

Question 1mediummultiple choice
Full question →

Exhibit

Refer to the exhibit.

{
  "name": "projects/123456789/locations/us-central1/endpoints/my-endpoint",
  "deployedModels": [
    {
      "id": "model-v1",
      "model": "projects/123456789/locations/us-central1/models/sentiment-model",
      "displayName": "Version 1",
      "trafficSplit": {"model-v1": 100}
    },
    {
      "id": "model-v2",
      "model": "projects/123456789/locations/us-central1/models/sentiment-model-v2",
      "displayName": "Version 2",
      "trafficSplit": {"model-v2": 0}
    }
  ],
  "trafficSplit": {"model-v1": 100, "model-v2": 0}
}

This is the output of `gcloud ai endpoints describe my-endpoint --region=us-central1`. You want to gradually shift 20% of traffic from model-v1 to model-v2.

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

gcloud ai endpoints update-traffic-split my-endpoint --region=us-central1 --traffic-split=model-v2=20,model-v1=80

Option D is correct because the command `gcloud ai endpoints update-traffic-split` with the `--traffic-split` flag is the proper way to modify traffic percentages for an endpoint. Other commands are either incorrect subcommands or do not exist.

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.

  • gcloud ai endpoints update my-endpoint --region=us-central1 --remove-deployed-model model-v1 --add-deployed-model model-v2 --traffic-split=20

    Why it's wrong here

    This incorrect command structure; removing and adding models is not the way to adjust traffic.

  • gcloud ai models update sentiment-model-v2 --traffic-split=20

    Why it's wrong here

    Models do not have traffic splits; traffic is managed at the endpoint level.

  • gcloud ai endpoints update-traffic-split my-endpoint --region=us-central1 --traffic-split=model-v2=20,model-v1=80

    Why this is correct

    This is the correct command to update the traffic split for an endpoint.

    Clue confirmation

    The clue word "which command" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

  • gcloud ai endpoints update my-endpoint --region=us-central1 --update-traffic-split=model-v2=20,model-v1=80

    Why it's wrong here

    The flag should be `--traffic-split`, not `--update-traffic-split`.

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.

Trap categories for this question

  • Command / output trap

    This incorrect command structure; removing and adding models is not the way to adjust traffic.

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 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 Generative AI Leader 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.

Related practice questions

Related Generative AI Leader practice-question pages

Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

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FAQ

Questions learners often ask

What does this Generative AI Leader question test?

Google Cloud's Generative AI Offerings — This question tests Google Cloud's Generative AI Offerings — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: gcloud ai endpoints update-traffic-split my-endpoint --region=us-central1 --traffic-split=model-v2=20,model-v1=80 — Option D is correct because the command `gcloud ai endpoints update-traffic-split` with the `--traffic-split` flag is the proper way to modify traffic percentages for an endpoint. Other commands are either incorrect subcommands or do not exist.

What should I do if I get this Generative AI Leader question wrong?

Identify which Generative AI Leader 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: "which command". Tests specific CLI syntax. Recall the exact command and its required context — near-synonyms and partial matches are common distractors.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 23, 2026

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This Generative AI Leader 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 Generative AI Leader exam.