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Google Cloud Certified - Generative AI Leader Exam Question and Answers

Google Cloud Certified - Generative AI Leader Exam

Last Update Oct 3, 2025
Total Questions : 45

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Questions 1

A large e-commerce company with a substantial product catalog and many support documents has customers struggling to find information on their website. This leads to high support costs and poor user experience. The company wants a Google Cloud solution to improve website search and reduce support costs while improving customer satisfaction. What Google Cloud product should the company use?

Options:

A.  

Vertex AI Search

B.  

Vertex AI Platform

C.  

Google Shopping

D.  

Google Search

Discussion 0
Questions 2

A company wants to use generative AI to create a chatbot that can answer customer questions about their products and services. They need to ensure that the chatbot only uses information from the company's official documentation. What should the company do?

Options:

A.  

Use role prompting.

B.  

Adjust the temperature parameter.

C.  

Use prompt chaining.

D.  

Use grounding.

Discussion 0
Questions 3

A software developer needs a highly efficient, open-source large language model that can be fine-tuned on a local machine for rapid prototyping of a chatbot application. They require a model that offers strong performance in natural language understanding and generation, while being lightweight enough to run on limited hardware. Which Google-developed family of models should they use?

Options:

A.  

Veo

B.  

Gemini

C.  

Gemma

D.  

Imagen

Discussion 0
Questions 4

What is a characteristic of Google Cloud as a generative AI company?

Options:

A.  

Google Cloud provides fully autonomous AI agents that require zero configuration or management overhead.

B.  

Google Cloud has an AI-first focus that enables innovation, with continuous updates and broad integration across its platform.

C.  

Google Cloud ensures that all generative AI models and data are completely secured and isolated from external networks.

D.  

Google Cloud relies on proprietary, closed-source AI technologies for maximum security benefits.

Discussion 0
Questions 5

A financial institution uses generative AI (gen AI) to approve and reject loan applications, but gives no reasons for rejection. Customers are starting to file complaints. The company needs to implement a solution to reduce the complaints. What should the company do?

Options:

A.  

Collect a larger and more diverse dataset for the gen AI model.

B.  

Implement explainable gen AI policies.

C.  

Fine-tune the gen AI model.

D.  

Develop fairness assessments for the gen AI model.

Discussion 0
Questions 6

A large multinational corporation with geographically dispersed teams struggles with knowledge silos and inconsistent access to crucial internal information. What is a key business benefit of using Google Agentspace in this scenario?

Options:

A.  

Improved IT infrastructure management across offices.

B.  

Seamless knowledge sharing and collaboration across internal systems.

C.  

Enhanced data encryption and compliance for internal communications.

D.  

Automation of employee performance reviews using AI.

Discussion 0
Questions 7

A company is developing a conversational AI chatbot. They need to ensure the chatbot can engage in human-like conversations and provide accurate information. What should they do to enhance thechatbot's ability to understand and respond effectively to user prompts?

Options:

A.  

Use prompt engineering techniques, like few-shot prompting, to provide the chatbot with examples of successful interactions.

B.  

Limit the chatbot's training data to prevent it from learning irrelevant information.

C.  

Use strict keyword matching to ensure that the chatbot only responds to specific commands.

D.  

Lower model temperature setting to produce more consistent and predictable responses.

Discussion 0
Questions 8

What is an example of unsupervised machine learning?

Options:

A.  

Analyzing customer purchase patterns to identify natural groupings.

B.  

Training a system to recognize product images using labeled categories.

C.  

Predicting subscription renewal based on past renewal status data.

D.  

Forecasting sales figures using historical sales and marketing spend.

Discussion 0
Questions 9

A highly regulated financial institution wants to use Gemini as the core decision engine for a loan approval system that will deterministically approve or reject loan applications based on a strict set of predefined criteria. Why is this an inappropriate use case for Gemini?

Options:

A.  

Gemini cannot integrate with required financial databases.

B.  

Gemini is not equipped to handle structured numerical data for financial assessments.

C.  

Gemini is designed for flexible content generation and inference, not rigid rule-based decisions.

D.  

Gemini deployment for this scenario would be too expensive and complex.

Discussion 0
Questions 10

A company wants to create an AI-powered educational solution that provides personalized learning experiences for students. This platform will assess a student's knowledge, recommend relevant learning materials, and generate personalized exercises. The application would provide the structure for lessons and track progress. What type of AI solution should they use?

Options:

A.  

An AI-powered recommendation system for learning resources

B.  

A large language model fine-tuned on educational content

C.  

A learning management system (LMS)

D.  

A customized learning agent

Discussion 0
Questions 11

A company wants to adopt generative AI and is concerned about vendor lock-in. They want to maintain flexibility in their technology stack. What Google Cloud strength would ease their concerns?

Options:

A.  

Google Cloud’s AI solutions have an open approach that supports customer choice across offerings.

B.  

Google Cloud's AI solutions are pre-packaged for easy deployment, eliminating the need for customization and integration efforts.

C.  

Google Cloud's strict adherence to proprietary technologies ensures the highest level of security and performance.

D.  

Google Cloud's focus on automation aims to replace human jobs with AI systems, potentially leading to significant workforce reductions.

Discussion 0
Questions 12

A development team is building an internal knowledge base chatbot to answer employee questions about company policies and procedures. This information is stored across various documents in Google Cloud Storage and is updated regularly by different departments. What is the primary benefit of using Google Cloud's RAG APIs in this scenario?

Options:

A.  

They provide a pre-built user interface for the chatbot, simplifying the front-end development process.

B.  

They allow the development team to train a single foundation model on all company documents.

C.  

They enable the generative AI model to retrieve the most up-to-date and relevant information from the policy documents in real-time.

D.  

They automatically create summaries of all company policies, which are then presented to employees as quick answers.

Discussion 0
Questions 13

A large e-commerce company with a vast and frequently updated product catalog finds that customers struggle to find products on their website, and support agents spend too much time finding detailed product information. The company wants to improve search accuracy and efficiency for both customers and support. What Google Cloud solution should they use?

Options:

A.  

Vertex AI Conversation

B.  

Vertex AI Natural Language API

C.  

Pre-built RAG with Vertex AI Search

D.  

Vertex AI Model Garden

Discussion 0