Question 11
A security team needs a centralized platform to gain a comprehensive overview of their organization’s security health across their entire Google Cloud environment, including potential threats to their generative AI deployments. Which Google Cloud security offering is specifically for this purpose?
A. Identity and Access Management
B. Workload monitoring tools
C. Security Command Center
D. Secure-Py-design infrastructure
Question 12
An organization with a team of live customer service agents wants to improve agent efficiency and customer satisfaction during support interactions. They are looking for a tool that can provide real-time guidance to agents, suggest helpful information, and streamline the support process without fully automating customer conversations. Which component of Google’s Customer Engagement Suite should they use?
A. Google Cloud Contact Center as a Service
B. Conversational Insights
C. Agent Assist
D. Conversational Agents
Question 13
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?
A. Gemma
B. Imagen
C. Gemini
D. Veo
Question 14
A pharmaceutical company’s research and development department spends significant time manually reviewing new scientific papers to identify potential drug targets. They need a solution that can answer questions about these documents and provide summarized insights to researchers without requiring extensive coding expertise. What should the organization do?
A. Use Vertex AI Agent Builder to create a custom AI agent.
B. Use Vertex AI Search to index the papers and enable keyword-based searches.
C. Use Gemini for Google Workspace to facilitate collaborative document review.
D. Use Vertex AI AutoML to train a model that classifies papers into predefined research areas.
Question 15
A company wants to create an AI-powered educational solution that provides personalized learning experiences for students. This platform will assess a student’s knowledge, recommend relevant learning materials and generate personalized exercises. The application would provide the structure for lessons and track progress. What type of AI solution should they use?
A. A learning management system (LMS)
B. A customized learning agent
C. An AI-powered recommendation system for learning resources
D. A large language model fine-tuned on educational content
Question 16
A company’s development team is eager to start building generative AI solutions with Google Cloud, but has limited experience in AI development. They need to launch their gen AI solution quickly. What Google Cloud benefit would help the company achieve their goal?
A. Google Cloud’s pre-trained models and low- and no-code AI tools and services.
B. Google Cloud’s focus on continuous improvement provides access to the latest AI tools, features, and best practices.
C. Google Cloud’s comprehensive training materials and tutorials to help developers.
D. Google Cloud’s collaborative AI community and support forums connect developers with AI experts.
Question 17
A large multinational corporation with geographically dispersed teams struggles with knowledge silos and inconsistent access to crucial internal information. What is a key business benefit of using Google Agentspace in this scenario?
A. Automation of employee performance reviews using AI.
B. Seamless knowledge sharing and collaboration across internal systems.
C. Improved IT infrastructure management across offices.
D. Enhanced data encryption and compliance for internal communications.
Question 18
A marketing team wants to use a foundation model to create social media and advertising campaigns. They want to create written articles and images from text. They lack deep AI expertise and need a versatile solution. Which Google foundation model should they use?
A. Gemini
B. Gemma
C. Veo
D. Imagen
Question 19
A data science team needs a centralized and organized location to store its various model versions, track their metadata, and easily deploy them to the respective applications. What Google Cloud service should they use?
A. Cloud Storage
B. Verte AI Pipelines
C. BigQuery
D. Model Registry
Question 20
What is a characteristic of Google Cloud as a generative AI company?
A. Google Cloud relies on proprietary, closed-source AI technologies for maximum security benefits.
B. Google Cloud has an AI-first focus that enables innovation, with continuous updates and broad integration across its platform.
C. Google Cloud ensures that all generative AI models and data are completely secured and isolated from external networks.
D. Google Cloud provides fully autonomous AI agents that require zero configuration or management overhead.
