Free Google Generative-AI-Leader Practice Test & Real Exam Questions

A company wants to adopt generative AI and is concerned about vendor lock-in. They want to maintain flexibility in their technology stack. What Google Cloud strength would ease their concerns?

SkyTrail Travel runs a high volume support center that captures about 9,500 customer calls each day. Leadership wants an automated approach to mine the transcripts so they can detect new complaint themes, understand common causes of dissatisfaction, and verify that agents follow the approved script without manually reviewing every recording. Within Google Cloud's Contact Center AI portfolio, which component is purpose built to deliver these analytics across call data?

An organization wants to understand trends in customer interactions, identify common issues, gauge customer sentiment, and improve the overall customer experience across both their automated chatbot interactions and live agent support. They need a tool that can analyze their existing conversational data to gain actionable business intelligence. What component of Google's Customer Engagement Suite best addresses this need?

A finance team wants to use Gemma to help with daily tasks so that the financial analysts can focus on other work. Which business problem can Gemma most efficiently address?

What is the definition of generative AI?

A global travel booking platform named VistaVoyage is developing a generative AI system to identify payment fraud across about 45 million reservations each day. The team is concerned that adversaries may make small tweaks to inputs so the model incorrectly treats fraudulent behavior as legitimate. At what point in the machine learning lifecycle should robust protections against these adversarial tactics be established to preserve security?

A software developer needs a highly efficient, open-source large language model that can be fine-tuned on a local machine for rapid prototyping of a chatbot application. They require a model that offers strong performance in natural language understanding and generation, while being lightweight enough to run on limited hardware. Which Google-developed family of models should they use?

According to Google-recommended practices, when should generative AI be used to automate tasks?

What is a key advantage of using Google's custom-designed TPUs?