Online Access Free Generative-AI-Leader Exam Questions

What does Vertex AI Search enable companies to do?

• A.To surface the most popular and frequently accessed content based on global user search patterns and trends.
• B.To index and retrieve information from the entire public web, providing a comprehensive view of publicly available data.
• C.To compare products from numerous online retailers, allowing users to find the best deals and product options across the internet.
• D.To ground LLM responses with first-party data, third-party data, and Google's knowledge graph.

A research team has collected a large dataset of sensor readings from various industrial machines. This dataset includes measurements like temperature, pressure, vibration levels, and electrical current, recorded at regular intervals. The team has not yet assigned any labels or categories to these readings and wants to identify potential anomalies, malfunctions, or natural groupings of machine behavior based on the sensor data alone. What type of machine learning should they use?

• A.Supervised learning
• B.Deep learning
• C.Unsupervised learning
• D.Reinforcement learning

A development team is building an internal knowledge base chatbot to answer employee questions about company policies and procedures. This information is stored across various documents in Google Cloud Storage and is updated regularly by different departments. What is the primary benefit of using Google Cloud's RAG APIs in this scenario?

• A.They provide a pre-built user interface for the chatbot, simplifying the front-end development process.
• B.They enable the generative AI model to retrieve the most up-to-date and relevant information from the policy documents in real-time.
• C.They allow the development team to train a single foundation model on all company documents.
• D.They automatically create summaries of all company policies, which are then presented to employees as quick answers.

What are core hardware components of the infrastructure layer in the generative AI landscape?

• A.TPUs and GPUs
• B.User interfaces
• C.Tools and services for building AI models
• D.Pre-trained models

What will Google Cloud's Agent Assist help a company achieve?

• A.The infrastructure to provide an enterprise-grade contact center solution with omnichannel support, routing, and integration with CRM systems.
• B.The ability to build and deploy deterministic and generative chatbot agents for automated customer support.
• C.The ability to provide real-time assistance and recommended responses to live customer service agents during their interactions.
• D.The ability to analyze conversational data to identify customer sentiment, common topics of discussion, and insights into agent performance and customer experience.