Expert Answers to Google Exam Generative-AI-Leader Questions

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Google Cloud Certified Google Cloud Certified - Generative AI Leader Exam

Google Cloud Certified - Generative AI Leader Exam

Last Update Jan 17, 2026
Total Questions : 74

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Questions 2

A company is trying to decide which platform to use to optimize its generative AI (gen AI) solutions. Why should the company use Vertex AI Platform?

Options:

It provides a mechanism for efficient analysis and exploration of large datasets used in machine learning.

It provides gen AI coding assistance with enterprise security and privacy protection.

It provides scalable and cost-effective object storage for data used in machine learning workflows.

It provides a unified platform of tools for building, deploying, and managing machine learning.

Discussion 0

Questions 3

A company is developing a generative AI application to analyze customer feedback collected through online surveys. Stakeholders are concerned about potential privacy risks associated with this data, as the feedback contains personally identifiable information (PII). They need to mitigate these risks before using the data to train the AI model. What action should the company prioritize?

Options:

Focusing on collecting only quantitative feedback data in future surveys.

Ensuring that the AI model is trained on a large and diverse dataset.

Implementing strong access controls to limit which teams can view the raw survey data.

Applying data anonymization techniques to remove or obscure sensitive data.

Discussion 0

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Questions 4

What will Google Cloud's Agent Assist help a company achieve?

Options:

The infrastructure to provide an enterprise-grade contact center solution with omnichannel support, routing, and integration with CRM systems.

The ability to analyze conversational data to identify customer sentiment, common topics of discussion, and insights into agent performance and customer experience.

The ability to provide real-time assistance and recommended responses to live customer service agents during their interactions.

The ability to build and deploy deterministic and generative chatbot agents for automated customer support.

Discussion 0

Questions 5

A company wants to build a model to classify customer reviews as positive, negative, or neutral. They have collected a dataset of thousands of customer reviews, and each review has been manually tagged with the corresponding sentiment: positive, negative, or neutral. What machine learning should the company use?

Options:

Deep learning

Unsupervised learning

Reinforcement learning

Supervised learning

Discussion 0

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