Google Generative-AI-Leader Dumps
| Exam Code | Generative-AI-Leader |
| Exam Name | Google Cloud Certified - Generative AI Leader Exam |
| Update Date | 18 Jul, 2026 |
| Total Questions | 77 Questions Answers With Explanation |
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Question # 1
A logistics company wants to use a generative AI (gen AI) agent to automatically check real-timeinventory levels across its warehouses and adjust delivery schedules. The gen AI agent needs accessto 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.
Question # 2
A retail company with a large online catalog wants to improve customer experience and drive salesby implementing multimodal search capabilities (image, voice, and text). What is a primary businessbenefit of this capability?
A. Improved customer engagement and product discovery leading to increased satisfaction and potential sales.
B. Reduced dependency on keyword optimization for product listings and improved search engine rankings.
C. Lowered operational costs associated with managing and updating product information across different platforms and channels.
D. Streamlined inventory management processes and more accurate demand forecasting for popular items.
Question # 3
What does Vertex AI Search enable companies to do?
A. To index and retrieve information from the entire public web, providing a comprehensive view ofpublicly available data.
B. To surface the most popular and frequently accessed content based on global user search patterns and trends.
C. To compare products from numerous online retailers, allowing users to find the best deals andproduct options across the internet.
D. To ground LLM responses with first-party data, third-party data, and Google's knowledge graph.
Question # 4
A company wants to use generative AI to create a chatbot that can answer customer questions abouttheir products and services. They need to ensure that the chatbot only uses information from thecompany's official documentation. What should the company do?
A. Use role prompting.
B. Adjust the temperature parameter.
C. Use prompt chaining.
D. Use grounding.
Question # 5
What will Google Cloud's Agent Assist help a company achieve?
A. The infrastructure to provide an enterprise-grade contact center solution with omnichannelsupport, routing, and integration with CRM systems.
B. The ability to analyze conversational data to identify customer sentiment, common topics ofdiscussion, and insights into agent performance and customer experience.
C. The ability to provide real-time assistance and recommended responses to live customer serviceagents during their interactions.
D. The ability to build and deploy deterministic and generative chatbot agents for automatedcustomer support.
Question # 6
A pharmaceutical company's research and development department spends significant timemanually reviewing new scientific papers to identify potential drug targets. They need a solution thatcan answer questions about these documents and provide summarized insights to researcherswithout requiring extensive coding expertise. What should the organization do?
A. Use Gemini for Google Workspace to facilitate collaborative document review.
B. Use Vertex AI Search to index the papers and enable keyword-based searches.
C. Use Vertex AI AutoML to train a model that classifies papers into predefined research areas.
D. Use Vertex AI Agent Builder to create a custom AI agent.
Question # 7
A large multinational corporation with geographically dispersed teams struggles with knowledgesilos and inconsistent access to crucial internal information. What is a key business benefit of usingGoogle Agentspace in this scenario?
A. Improved IT infrastructure management across offices.
B. Seamless knowledge sharing and collaboration across internal systems.
C. Enhanced data encryption and compliance for internal communications.
D. Automation of employee performance reviews using AI.
Question # 8
An organization wants to use generative AI to create a chatbot that can answer customer questionsabout their account balances. They need to ensure that the chatbot can access previous portions ofthe conversation with the customer. Which prompting technique should they use?
A. Use zero-shot prompting.
B. Use role prompting.
C. Use few-shot prompting.
D. Use prompt chaining.
Question # 9
A companys large learning model (LLM) is producing hallucinations that are a result of theKnowledge cutoff. How does retrieval-augmented generation (RAG) overcome this limitation?
A. RAG fine-tunes the LLM on specific customer query patterns to improve the speed and efficiencyof response generation.
B. RAG enhances the creative writing capabilities of the LLM to generate more engaging andinformative responses.
C. RAG enables the LLM to retrieve relevant and up-to-date information from knowledge sources.
D. RAG uses human oversight to ensure accuracy before presenting information to the customer.
Question # 10
A development team is building an internal knowledge base chatbot to answer employee questionsabout company policies and procedures. This information is stored across various documents inGoogle Cloud Storage and is updated regularly by different departments. What is the primary benefitof using Google Cloud's RAG APIs in this scenario?
A. They provide a pre-built user interface for the chatbot, simplifying the front-end developmentprocess.
B. They allow the development team to train a single foundation model on all company documents.
C. They enable the generative AI model to retrieve the most up-to-date and relevant informationfrom the policy documents in real-time.
D. They automatically create summaries of all company policies, which are then presented toemployees as quick answers.
Question # 11
A security team needs a centralized platform to gain a comprehensive overview of theirorganization's security health across their entire Google Cloud environment, including potentialthreats to their generative AI deployments. Which Google Cloud security offering is specifically forthis purpose?
A. Workload monitoring tools
B. Security Command Center
C. Identity and Access Management
D. Secure-by-design infrastructure
Question # 12
What is a primary benefit of using a multi-agent system?
A. To simplify the most basic and repetitive rule-based tasks.
B. To consolidate all unique AI functions into a single, undifferentiated model.
C. To serve as a platform for hosting traditional, non-AI applications.
D. To manage complex tasks that demand coordinated AI functions.
Question # 13
A company is developing an AI character for a video game. The AI character needs to learn how tonavigate a complex environment and make decisions to achieve certain objectives within the game.When the AI takes actions that lead to positive outcomes, like finding a reward or overcoming anobstacle, it receives a positive score. When it takes actions that lead to negative outcomes, likehitting a wall or losing progress, it receives a negative score. Through this process of trial and error,the AI gradually improves the characters ability to play the game effectively. What machine learningshould the company use?
A. Reinforcement learning
B. Unsupervised learning
C. Supervised learning
D. Deep learning
Question # 14
A company wants to adopt generative AI and is concerned about vendor lock-in. They want tomaintain flexibility in their technology stack. What Google Cloud strength would ease their concerns?
A. Google Clouds AI solutions have an open approach that supports customer choice acrossofferings.
B. Google Cloud's AI solutions are pre-packaged for easy deployment, eliminating the need forcustomization and integration efforts.
C. Google Cloud's strict adherence to proprietary technologies ensures the highest level of securityand performance.
D. Google Cloud's focus on automation aims to replace human jobs with AI systems, potentiallyleading to significant workforce reductions.
Question # 15
An organization needs an AI tool to analyze and summarize lengthy customer feedback texttranscripts. You need to choose a Google foundation model with a large context window. Whatfoundation model should the organization choose?
A. Gemini
B. CodeGemma
C. Imagen
D. Chirp
Question # 16
A financial services company receives a high volume of loan applications daily submitted as scanneddocuments and PDFs with varying layouts. The manual process of extracting key information is timeconsumingand prone to errors. This causes delays in loan processing and impacts customersatisfaction. The company wants to automate the extraction of this critical data to improve efficiencyand accuracy. Which Google Cloud tool should they use?
A. Natural Language API
B. Dataflow
C. Vision AI
D. Document AI API
Question # 17
A company wants to choose a generative AI (gen AI) use case that will be successful and have themost impact. What key factor should they determine first according to Google Cloud-recommendedpractices?
A. The availability of pre-trained models that are offered on various cloud computing platforms.
B. The frequency of updates to the underlying foundation models used by different gen AI platforms.
C. The specific business problems the company aims to solve and the desired outcomes.
D. The number of employees who will be trained to use the new gen AI tools.
Question # 18
A company is exploring Google Agentspace to improve how its employees search for information ontheir enterprise systems and automate certain tasks. What is the key business advantage of usingAgentspace?
A. Enhanced real-time communication and collaboration among team members.
B. Greater interoperability with legacy software systems and databases.
C. Improved productivity and data interaction using AI assistants and advanced document analysis.
D. More granular control over support team access and permissions for sensitive data.
Question # 19
A company has a machine learning project that involves diverse data types like streaming data andstructured databases. How does Google Cloud support data gathering for this project?
A. Google Cloud provides tools such as Pub/Sub, Cloud Storage, and Cloud SQL.
B. The Gemini app is the primary Google Cloud tool for directly collecting data.
C. Google Clouds strengths are in the data analysis tools such as BigQuery.
D. Google Cloud relies on Vertex AI to connect to external data.
Question # 20
A human resources team is implementing a new generative AI application to assist the departmentin screening a large volume of job applications. They want to ensure fairness and build trust withpotential candidates. What should the team prioritize?
A. Integrating the AI application with various job boards to maximize candidate reach.
B. Focusing on minimizing the processing time for each application to improve efficiency.
C. Ensuring AI operates transparently, especially regarding application evaluation and data usage.
D. Ensuring that the AI application can automatically rank all candidates without requiring humanreview.
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