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Google Generative-AI-Leader - Google Cloud Certified - Generative AI Leader Exam

Last Update Jul 07, 2026

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  • Exam Name: Google Cloud Certified - Generative AI Leader Exam
  • 77 Questions Answers with Explanation Detail
  • Total Questions: 77 Q&A's
  • Single Choice Questions: 77 Q&A's


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Total Questions: 77
Free Practice Questions: 23

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.

Answer
A
Explanation

Unsupervised learning deals with unlabeled data. Identifying " natural groupings " or clusters in customer purchase patterns (e.g., segmenting customers into different buying behaviors without pre-defined labels) is a classic example of unsupervised learning (clustering). Options B, C, and D are examples of supervised learning, as they involve labeled data for training (product categories, renewal status, sales figures).

________________________________________

A human resources team is implementing a new generative AI application to assist the department in screening a large volume of job applications. They want to ensure fairness and build trust with potential candidates. What should the team prioritize?

Options:

A.

Integrating the AI application with various job boards to maximize candidate reach.

B.

Focusing on minimizing the processing time for each application to improve efficiency.

C.

Ensuring AI operates transparently, especially regarding application evaluation and data usage.

D.

Ensuring that the AI application can automatically rank all candidates without requiring human review.

Answer
C
Explanation

To ensure fairness and build trust, especially in sensitive areas like job applications, transparency in how AI evaluates applications and uses data is paramount. This involves understanding potential biases, explaining decisions (where possible), and ensuring human oversight.

________________________________________

A company wants to use an AI agent to automate some tasks. They want everyone to understand the different functions of an AI agent. What is the function of an AI agent in the context of gen AI?

Options:

A.

To provide the computational resources needed to train and run gen AI models.

B.

To store and manage large datasets used for training and running gen AI models.

C.

To provide a user-friendly interface for interacting with gen AI models.

D.

To analyze situations, use multiple tools, and make informed decisions without requiring constant human input.

Answer
D
Explanation

An AI agent, especially in the context of generative AI, is designed to be more autonomous and capable than a simple model. Its function is to understand a goal, analyze a situation, leverage various tools (including other generative AI models or external APIs), and make decisions or take actions to achieve that goal, often with minimal human intervention.

________________________________________

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Google Generative-AI-Leader FAQ'S

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