Question 180 of 500
Google Cloud's Generative AI OfferingseasyMultiple ChoiceObjective-mapped

Quick Answer

The answer is that the data store has not been created in the specified project. This error occurs because Vertex AI grounding requires an existing data store—a searchable index of your enterprise data—to be explicitly provisioned within the same Google Cloud project where the Agent Builder agent is calling the API. When the API receives a reference to a data store ID that does not match any resource in that project, it returns the “data store does not exist” message rather than a permission or authentication error. On the Google Cloud Generative AI Leader exam, this question tests your understanding of grounding prerequisites: candidates often confuse missing resources with IAM issues, but a 403 error indicates permissions, while a “does not exist” error points to a missing or misconfigured data store. A common trap is assuming the data store is automatically created when the agent is built, but it must be created separately via the Search Console or API. Memory tip: “No store, no ground—create it first in the project you’ve found.”

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. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.

Error: 400 INVALID_ARGUMENT: The request was invalid because the grounding configuration specifies a data store 'projects/123/locations/global/dataStores/my-ds' that does not exist.

A developer is configuring a Vertex AI Agent Builder agent to use grounding. They receive the above error when calling the API. What is the most likely cause?

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.

Question 1easymultiple choice
Full question →

Exhibit

Refer to the exhibit.

Error: 400 INVALID_ARGUMENT: The request was invalid because the grounding configuration specifies a data store 'projects/123/locations/global/dataStores/my-ds' that does not exist.

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

The data store has not been created in the specified project

The error says the data store does not exist. The developer likely created a data store in a different project or did not create one. Option A is wrong because authentication errors give different messages. Option C is wrong because permissions errors are 403. Option D is wrong because a race condition would not produce 'does 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.

  • The data store was just created and is not yet propagated

    Why it's wrong here

    Propagation delays typically produce 'not ready' errors, not 'does not exist'.

  • The agent is not authenticated to access the data store

    Why it's wrong here

    Authentication errors would be 401 or 403, not 400 INVALID_ARGUMENT with 'does not exist'.

  • The data store has not been created in the specified project

    Why this is correct

    The error indicates the referenced data store does not exist; it needs to be created first.

    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 grounding configuration is missing required permissions

    Why it's wrong here

    Permissions errors yield 403 Forbidden, not 400 with 'does not exist'.

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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.

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.

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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: The data store has not been created in the specified project — The error says the data store does not exist. The developer likely created a data store in a different project or did not create one. Option A is wrong because authentication errors give different messages. Option C is wrong because permissions errors are 403. Option D is wrong because a race condition would not produce 'does 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: "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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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.