Generative AI Leader v1.0

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Exam contains 99 questions

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


Answer : B

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.


Answer : A

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.


Answer : B

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


Answer : A

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


Answer : D

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.


Answer : B

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

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


Answer : B

A company wants a generative AI platform that provides the infrastructure, tools, and pre-trained models needed to build, deploy, and manage its generative AI solutions. Which Google Cloud offering should the company use?

  • A. BigQuery
  • B. Google Kubernetes Engine (GKE)
  • C. Google Cloud Storage
  • D. Vertex AI


Answer : D

A company is exploring Google Agentspace to improve how its employees search for information on their enterprise systems and automate certain tasks. What is the key business advantage of using Agentspace?

  • A. Enhanced real-time communication and collaboration among team members.
  • B. More granular control over support team access and permissions for sensitive data.
  • C. Improved productivity and data interaction using AI assistants and advanced document analysis.
  • D. Greater interoperability with legacy software systems and databases.


Answer : C

An organization wants granular control over who can use and see their generative AI models and related resources on Google Cloud. Which Google Cloud security offering is specifically for this purpose?

  • A. Workload monitoring tools.
  • B. Secure-by-design infrastructure.
  • C. Identity and Access Management.
  • D. Security Command Center.


Answer : C

A large ecommerce company with a substantial product catalog and many support documents has customers struggling to find information on their website. This leads to high support costs and poor user experience. The company wants a Google Cloud solution to improve website search and reduce support costs while improving customer satisfaction. What Google Cloud product should the company use?

  • A. Google Shopping
  • B. Google Search
  • C. Vertex AI Search
  • D. Vertex AI Platform


Answer : C

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?

  • A. Google Cloud’s strict adherence to proprietary technologies ensures the highest level of security and performance.
  • B. Google Cloud’s AI solutions are pre-packaged for easy deployment, eliminating the need for customization and integration efforts.
  • C. Google Cloud’s AI solutions have an open approach that supports customer choice across offerings.
  • D. Google Cloud’s focus on automation aims to replace human jobs with AI systems, potentially leading to significant workforce reductions.


Answer : C

A company’s sales team spends a significant amount of time researching potential leads and manually entering data into their customer relationship management (CRM) tool. They want to improve the team’s efficiency and enable them to focus on building relationships and closing deals. What should the organization do?

  • A. Develop a custom AI solution using Google Cloud’s AutoML Natural Language to analyze lead communications and automatically update the CRM.
  • B. Implement Google Cloud’s Contact Center AI to qualify leads and route them to the appropriate sales representatives.
  • C. Implement Google Agentspace "unified enterprise search" including a CRM agent to automate lead research and data entry.
  • D. Integrate the CRM with a popular sales intelligence platform to automatically enrich lead profiles with valuable data.


Answer : C

A logistics company wants to use a generative AI (gen AI) agent to automatically check real-time inventory levels across its warehouses and adjust delivery schedules. The gen AI agent needs access to internal inventory data. They want the most cost-effective solution. What should the organization do?

  • A. Build a custom API instead of using the gen AI agent.
  • B. Use pre-built gen AI chatbots for inventory questions.
  • C. Use Vertex AI Studio to fine-tune a model with sample inventory data.
  • D. Use Google Cloud databases and Vertex AI for the agent to get live data.


Answer : D

An organization needs an AI tool to analyze and summarize lengthy customer feedback text transcripts. You need to choose a Google foundation model with a large context window. What foundation model should the organization choose?

  • A. Gemini
  • B. CodeGemma
  • C. Imagen
  • D. Chirp


Answer : A

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Exam contains 99 questions

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