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Google Generative-AI-Leader Exam Syllabus Topics:

Topic	Details
Topic 1	Servicing AV Solutions: This section of the exam measures skills of an AV Maintenance Technician and focuses on maintaining and repairing AV systems. Tasks include supervising operations, conducting routine maintenance such as firmware updates and component replacements, and resolving issues through troubleshooting and repair processes, ensuring long-term system performance.
Topic 2	Implementing AV Solutions: This section of the exam measures the skills of an AV Integration Technician and focuses on turning AV system designs into reality. It assesses the ability to integrate systems by verifying components and managing supply installations, as well as handling documentation, training, and creating as-built schematics that support ongoing system operation.
Topic 3	Supporting AV System Operation: This section of the exam measures the skills of an AV Support Specialist and focuses on providing assistance in operating audiovisual systems. It includes remote and onsite troubleshooting, training users, and delivering live event support, ensuring systems function effectively in real-world usage scenarios.
Topic 4	Creating AV Solutions: This section of the exam measures the skills of an AV Systems Designer and covers the processes involved in understanding client requirements and translating them into practical AV solutions. It includes tasks such as conducting customer needs analysis, performing site surveys to evaluate conditions like lighting and acoustics, developing AV project scopes, and designing system layouts and documentation.

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2025 Generative-AI-Leader: Google Cloud Certified - Generative AI Leader Exam –High Pass-Rate Valid Dumps Questions

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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q24-Q29):

NEW QUESTION # 24
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. Imagen
B. Gemini
C. Chirp
D. CodeGemma

Answer: B

Explanation:
Gemini models are known for their large context windows, making them highly suitable for processing and summarizing lengthy texts like customer feedback transcripts. CodeGemma is specialized for code, Imagen for image generation, and Chirp for speech.
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NEW QUESTION # 25
A company is developing an AI character for a video game. The AI character needs to learn how to navigate 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 an obstacle, it receives a positive score. When it takes actions that lead to negative outcomes, like hitting a wall or losing progress, it receives a negative score. Through this process of trial and error, the AI gradually improves the character's ability to play the game effectively. What machine learning should the company use?

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

Answer: B

Explanation:
This scenario perfectly describes reinforcement learning. In reinforcement learning, an agent learns to make decisions by interacting with an environment, receiving1 rewards for desirable actions and penalties for undesirable ones,2 and iteratively improving its behavior through trial and error to maximize cumulative reward.
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NEW QUESTION # 26
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 Search to index the papers and enable keyword-based searches.
B. Use Gemini for Google Workspace to facilitate collaborative document review.
C. Use Vertex AI Agent Builder to create a custom AI agent.
D. Use Vertex AI AutoML to train a model that classifies papers into predefined research areas.

Answer: C

Explanation:
The requirement is to answer questions about the documents and provide summarized insights without requiring extensive coding expertise. Vertex AI Agent Builder is designed precisely for creating custom AI agents, often with low-code or no-code capabilities, that can interact with and process large volumes of information like scientific papers. While Vertex AI Search could index papers for keyword searches, it doesn't directly answer questions or provide summarized insights in the same way a generative AI agent built with Agent Builder could. Gemini for Google Workspace is for collaborative work, not specifically for building custom AI agents for document analysis. Vertex AI AutoML is for training classification models, which is different from answering questions and summarizing.
________________________________________

NEW QUESTION # 27
What is the definition of generative AI?

A. A type of artificial intelligence that can create new content and ideas, including text, images, music, and code.
B. A type of machine learning algorithm inspired by the human brain that is made up of interconnected nodes.
C. A type of artificial intelligence that enables a system to autonomously learn and improve using neural networks and deep learning.4
D. A type of predictive model that estimates a relationship by fitting a line to the observed data.

Answer: A

Explanation:
The defining characteristic of generative AI is its ability to create new, original content that resembles its training data. This includes various modalities like text, images, music, and code, rather than just classifying, predicting, or analyzing existing data.
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NEW QUESTION # 28
The office of the CISO wants to use generative AI (gen AI) to help automate tasks like summarizing case information, researching threats, and taking actions like creating detection rules. What agent should they use?

A. Customer service agent
B. Security agent
C. Data agent
D. Code agent

Answer: B

Explanation:
Given the tasks

NEW QUESTION # 29
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