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

A. A type of predictive model that estimates a relationship by fitting a line to the observed data.

B. A type of artificial intelligence that can create new content and ideas, including text, images, music, and code.

C. A type of machine learning algorithm inspired by the human brain that is made up of interconnected nodes.

D. A type of artificial intelligence that enables a system to autonomously learn and improve using neural networks and deep learning.4

A. Use grounding.

B. Use prompt chaining.

C. Adjust the temperature parameter.

D. Use role prompting.

A. Prompt chaining that engages the AI in a conversation to gather the necessary information before generating the email response.

B. Few-shot prompting that provides examples of good and bad customer service emails.

C. Role prompting that instructs the AI to act as an experienced customer service representative with corporate knowledge.

D. One-shot prompting that provides a single example of a good customer service email.

A. Deep learning

B. Unsupervised learning

C. Reinforcement learning

D. Supervised learning

A. To control the creativity and randomness of the model's output by adjusting the diversity of word choices.

B. To filter out potentially harmful or inappropriate content from the model's output based on the desired level of filtering.

C. To limit the maximum text length that the model generates by ensuring concise responses.

D. To determine the number of tokens the model can process at once by influencing the complexity and length of inputs and outputs.

A. RAG will enable the chatbot to fine-tune its underlying language model on the fly based on customer interactions.

B. RAG will enable the chatbot to access and utilize external, up-to-date knowledge sources to provide more accurate and relevant answers.

C. RAG will primarily help the chatbot generate more creative and engaging conversational responses.

D. RAG will significantly reduce the computational resources required to run the generative AI model.

A. Document search

B. Vision API Product search

C. Search for commerce

D. Media Search

A. Use gen AI to identify potential bugs and security vulnerabilities in their code.

B. Use gen AI to refactor and optimize existing code.

C. Use gen AI to automatically generate comprehensive documentation for their code.

D. Use gen AI to suggest code snippets and complete functions.

A. A static component of a gen AI application that provides information to the user.

B. A type of user interface that allows users to interact with a gen AI application.

C. A human expert who oversees and manages the operation of a gen AI application.

D. An application that learns how to achieve a goal based on inputs and tools available to it.

A. A branch of artificial intelligence that uses machine learning to process and interpret text and data

B. The ability to connect model output to verifiable sources.

C. Providing an AI model with a direct instruction or question without any additional context or examples.

D. The art and science of designing instructions to guide AI models to generate the desired responses.