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Google Generative-AI-Leader Dumps Questions Answers

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Google Cloud Certified - Generative AI Leader Exam

Last Update Jun 1, 2025
Total Questions : 45 With Comprehensive Analysis

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Last Update Jun 1, 2025
Total Questions : 45 With Comprehensive Analysis

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Google Cloud Certified - Generative AI Leader Exam Questions and Answers

Questions 1

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.

Questions 2

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

Questions 3

A retail company with a large online catalog wants to improve customer experience and drive sales by implementing multimodal search capabilities (image, voice, and text). What is a primary business benefit of this capability?

Options:

A.

Improved customer engagement and product discovery leading to increased satisfaction and potential sales.

B.

Reduced dependency on keyword optimization for product listings and improved search engine rankings.

C.

Lowered operational costs associated with managing and updating product information across different platforms and channels.

D.

Streamlined inventory management processes and more accurate demand forecasting for popular items.