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

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Question # 33

A project team is developing a generative AI application that needs to process and summarize lengthy documents. They are considering the limitations of the underlying language model. What is a key consideration regarding the token count for this application?

The model has a token limit; exceeding it may prevent processing of entire documents included in the prompt.

A lower token count will generally lead to more creative and varied outputs from the model.

Increasing the token count will reduce the processing power required by the AI model.

Token count primarily affects the safety settings of the AI model by filtering out more potentially harmful content at higher counts.

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Question # 34

A company uses a generative AI model to create campaign messaging. However, the newly trained version of the model is more creative but less aligned with the brand voice than the previous version. The marketing team must decide which model to use and potentially revert to the prior model if the new one consistently underperforms in brand alignment. What Google-recommended model management practice should they use?

Drift monitoring

Human-in-the-loop (HITL) review

Fine-tuning

Model versioning

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