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Generative-AI-Leader Google Cloud Certified - Generative AI Leader Exam Questions and Answers

Questions 4

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.

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Questions 5

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

Options:

A.

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

B.

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

C.

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

D.

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

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Questions 6

A research team has collected a large dataset of sensor readings from various industrial machines. This dataset includes measurements like temperature, pressure, vibration levels, and electrical current, recorded at regular intervals. The team has not yet assigned any labels or categories to these readings and wants to identify potential anomalies, malfunctions, or natural groupings of machine behavior based on the sensor data alone. What type of machine learning should they use?

Options:

A.

Reinforcement learning

B.

Unsupervised learning

C.

Deep learning

D.

Supervised learning

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Questions 7

An organization needs an AI tool to analyze and summarize lengthy customer feedback text transcripts. You need to choose a Google foundation model with a large context window. What foundation model should the organization choose?

Options:

A.

Gemini

B.

CodeGemma

C.

Imagen

D.

Chirp

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Questions 8

A company is developing an AI character for a video game. The AI character needs to learn how to navigate a complex environment and make decisions to achieve certain objectives within the game. When the AI takes actions that lead to positive outcomes, like finding a reward or overcoming an obstacle, it receives a positive score. When it takes actions that lead to negative outcomes, like hitting a wall or losing progress, it receives a negative score. Through this process of trial and error, the AI gradually improves the character’s ability to play the game effectively. What machine learning should the company use?

Options:

A.

Reinforcement learning

B.

Unsupervised learning

C.

Supervised learning

D.

Deep learning

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Questions 9

What is a primary benefit of using a multi-agent system?

Options:

A.

To simplify the most basic and repetitive rule-based tasks.

B.

To consolidate all unique AI functions into a single, undifferentiated model.

C.

To serve as a platform for hosting traditional, non-AI applications.

D.

To manage complex tasks that demand coordinated AI functions.

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Questions 10

A company has a machine learning project that involves diverse data types like streaming data and structured databases. How does Google Cloud support data gathering for this project?

Options:

A.

Google Cloud provides tools such as Pub/Sub, Cloud Storage, and Cloud SQL.

B.

The Gemini app is the primary Google Cloud tool for directly collecting data.

C.

Google Cloud’s strengths are in the data analysis tools such as BigQuery.

D.

Google Cloud relies on Vertex AI to connect to external data.

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Questions 11

A global news agency is developing a generative AI tool to quickly summarize breaking newsarticles as they emerge online. The goal is to provide their audience with rapid updates on fast-developing stories from various global sources. What Google Cloud solution should they use?

Options:

A.

Document AI

B.

BigQuery

C.

Vertex AI Natural Language API

D.

Grounding with Google Search

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Questions 12

A pharmaceutical company's research and development department spends significant time manually reviewing new scientific papers to identify potential drug targets. They need a solution that can answer questions about these documents and provide summarized insights to researchers without requiring extensive coding expertise. What should the organization do?

Options:

A.

Use Gemini for Google Workspace to facilitate collaborative document review.

B.

Use Vertex AI Search to index the papers and enable keyword-based searches.

C.

Use Vertex AI AutoML to train a model that classifies papers into predefined research areas.

D.

Use Vertex AI Agent Builder to create a custom AI agent.

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Questions 13

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

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Exam Name: Google Cloud Certified - Generative AI Leader Exam
Last Update: Jun 17, 2025
Questions: 45
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