- A
Vertex AI (with VPC Service Controls and SLA)
Vertex AI supports VPC Service Controls for data isolation and offers 99.95% uptime SLA.
- B
BigQuery ML
Why wrong: BigQuery ML lacks built-in explainability and does not meet VPC data isolation requirements.
- C
Vertex AI Explainable AI
Provides feature importance and explanations for model predictions.
- D
Cloud Functions
Why wrong: Cloud Functions is serverless compute, not an ML platform with explainability and SLA.
- E
AI Platform Prediction
Why wrong: AI Platform is the legacy version; Vertex AI is the recommended unified platform and offers the required features.
Question 500 of 997
Generative AI Leader Google AI Ecosystem and Strategy Practice Question
This Generative AI Leader practice question tests your understanding of google ai ecosystem and strategy. 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.
A financial services company needs to deploy an AI model for fraud detection. They require that the model's predictions be explainable, the data never leaves their VPC, and they need a guarantee of 99.95% uptime. Which TWO Google Cloud offerings should they consider? (Select 2 options.)
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"never"Why it matters: Absolute qualifier. True only if the statement has zero exceptions — be cautious of options that seem obvious but break down in edge cases.
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
✓
Vertex AI (with VPC Service Controls and SLA)
Vertex AI (with VPC Service Controls and SLA) is correct because it allows the company to deploy the fraud detection model within their VPC using VPC Service Controls, ensuring data never leaves their network, and the SLA provides a 99.95% uptime guarantee. Vertex AI Explainable AI is correct because it provides built-in feature attributions and explanations for model predictions, meeting the explainability requirement for fraud detection models.
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.
- ✓
Vertex AI (with VPC Service Controls and SLA)
Why this is correct
Vertex AI supports VPC Service Controls for data isolation and offers 99.95% uptime SLA.
Clue confirmation
The clue word "never" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
BigQuery ML
Why it's wrong here
BigQuery ML lacks built-in explainability and does not meet VPC data isolation requirements.
- ✓
Vertex AI Explainable AI
Why this is correct
Provides feature importance and explanations for model predictions.
Clue confirmation
The clue word "never" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cloud Functions
Why it's wrong here
Cloud Functions is serverless compute, not an ML platform with explainability and SLA.
- ✗
AI Platform Prediction
Why it's wrong here
AI Platform is the legacy version; Vertex AI is the recommended unified platform and offers the required features.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Candidates often confuse legacy services (AI Platform Prediction) with modern Vertex AI offerings, or mistakenly think BigQuery ML satisfies VPC and SLA requirements for production deployment.
Detailed technical explanation
How to think about this question
Vertex AI Explainable AI uses integrated gradients or Shapley value approximations to attribute model predictions to input features, which is critical for regulatory compliance in fraud detection. VPC Service Controls create a security perimeter around Vertex AI resources, preventing data exfiltration by using context-aware access policies that restrict data movement even within the same project. The 99.95% uptime SLA for Vertex AI is backed by a monthly uptime percentage calculation, with credits issued if the service falls below this threshold, which is essential for financial services with strict availability requirements.
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 healthcare organisation deploys an application with a public-facing web tier and a private database tier. The database subnet has no public IP and only accepts connections from the web tier's security group. Questions like this test whether you can design cloud network isolation using VNets/VPCs, subnets, and security group rules.
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.
- →
Google AI Ecosystem and Strategy — study guide chapter
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FAQ
Questions learners often ask
What does this Generative AI Leader question test?
Google AI Ecosystem and Strategy — This question tests Google AI Ecosystem and Strategy — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Vertex AI (with VPC Service Controls and SLA) — Vertex AI (with VPC Service Controls and SLA) is correct because it allows the company to deploy the fraud detection model within their VPC using VPC Service Controls, ensuring data never leaves their network, and the SLA provides a 99.95% uptime guarantee. Vertex AI Explainable AI is correct because it provides built-in feature attributions and explanations for model predictions, meeting the explainability requirement for fraud detection models.
What should I do if I get this Generative AI Leader 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: "never". Absolute qualifier. True only if the statement has zero exceptions — be cautious of options that seem obvious but break down in edge cases.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jul 4, 2026
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.
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