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Latest Generative AI Leader Exam Practice Questions

The practice questions for Generative AI Leader exam was last updated on 2025-08-24 .

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Question#1

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 Agent space in this scenario?

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 A

Question#2

What is an example of unsupervised machine learning?

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.

Question#3

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?

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

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.

Question#4

A company is designing a sophisticated AI agent that must perform a complex task: first, it needs to understand a user's request to find top-performing sales regions; second, it must call an internal API to get sales data; third, it must analyze that data to determine the top regions; and finally, it must generate a natural language summary of its findings. This process requires the model to reason, act, and observe in a loop.
Which advanced prompting technique is specifically designed to handle such multi-step, tool-using tasks?

A. Role prompting

B. Zero-shot prompting

C. ReAct prompting

D. Chain-of-thought (CoT) prompting

Question#5

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?

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.

Exam Code: Generative AI LeaderQ & A: 69 Q&AsUpdated: 2025-08-24

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