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Google Cloud Certified - Generative AI Leader Exam

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Total Questions : 77

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Question # 21

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
Question # 22

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
Question # 23

A company’s large learning model (LLM) is producing hallucinations that are a result of the Knowledge cutoff. How does retrieval-augmented generation (RAG) overcome this limitation?

Options:

A.  

RAG fine-tunes the LLM on specific customer query patterns to improve the speed and efficiency of response generation.

B.  

RAG enhances the creative writing capabilities of the LLM to generate more engaging and informative responses.

C.  

RAG enables the LLM to retrieve relevant and up-to-date information from knowledge sources.

D.  

RAG uses human oversight to ensure accuracy before presenting information to the customer.

Discussion 0
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