Generative AI Leader 시험 - Google실제시험문제와 답 - 45문항

Question No : 1

A company’s large learning model (LLM) is producing hallucinations that are a result of the Knowledge 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 efficiency of response generation.
B.RAG enhances the creative writing capabilities of the LLM to generate more engaging and informative 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.

정답:
Explanation:
The primary purpose of RAG is to address the "knowledge cutoff" and hallucination issues of LLMs. It does this by retrieving relevant, up-to-date information from external knowledge sources (like databases or documents) at inference time and then using this retrieved information to ground the LLM's generation, ensuring factual accuracy and relevance to the specific query.

Question No : 2

A human resources team is implementing a new generative AI application to assist the department in screening a large volume of job applications. They want to ensure fairness and build trust with potential 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 human review.

정답:
Explanation:
To ensure fairness and build trust, especially in sensitive areas like job applications, transparency in how AI evaluates applications and uses data is paramount. This involves understanding potential biases, explaining decisions (where possible), and ensuring human oversight.

Question No : 3

A company is developing a conversational AI chatbot. They need to ensure the chatbot can engage in human-like conversations and provide accurate information.
What should they do to enhance the chatbot's ability to understand and respond effectively to user prompts?

A.Use prompt engineering techniques, like few-shot prompting, to provide the chatbot with examples of successful interactions.
B.Limit the chatbot's training data to prevent it from learning irrelevant information.
C.Use strict keyword matching to ensure that the chatbot only responds to specific commands.
D.Lower model temperature setting to produce more consistent and predictable responses.

정답:
Explanation:
Prompt engineering, especially techniques like few-shot prompting (providing examples of desired input-output pairs), is crucial for guiding a generative AI model to understand context and generate relevant, human-like responses. Limiting data or using strict keyword matching would severely restrict the chatbot's conversational ability, and lowering temperature makes responses less creative, not necessarily more understanding.

Question No : 4

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

정답:
Explanation:
Identity and Access Management (IAM) is the fundamental Google Cloud service that allows you to define who has what access to which resources. It provides granular control over permissions for users, groups, and service accounts, including access to generative AI models and related data.

Question No : 5

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.Veo
B.Gemini
C.Gemma
D.Imagen

정답:
Explanation:
Gemma is Google's family of lightweight, state-of-the-art open models, built from the same research and technology used to create the Gemini3 models. They are designed for developers to build innovative AI applications on their local machines or in the cloud, offering a balance of performance and efficiency suitable for limited hardware and rapid prototyping. Veo is for video generation, Gemini is typically larger and more general-purpose, and Imagen is for image generation.

Question No : 6

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

정답:
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.

Question No : 7

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.

정답:
Explanation:
Multi-agent systems are designed to tackle complex problems by breaking them down into sub-tasks, where each agent specializes in a specific function. These agents then coordinate and collaborate to achieve a larger, more intricate goal that a single, monolithic AI model might struggle with.

Question No : 8

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.An AI-powered recommendation system for learning resources
B.A large language model fine-tuned on educational content
C.A learning management system (LMS)
D.A customized learning agent

정답:
Explanation:
The request goes beyond just recommendations or content generation. It involves assessing knowledge, recommending materials, generating personalized exercises, providing lesson structure, and tracking progress. This implies a more comprehensive, intelligent system that acts as an assistant or tutor for the student, which is best described as a customized learning agent. This agent would likely leverage LLMs and recommendation systems as components, but the overall solution is an agent.

Question No : 9

A retail company with a large online catalog wants to improve customer experience and drive sales by implementing multimodal search capabilities (image, voice, and text).
What is a primary business benefit 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.

정답:
Explanation:
Multimodal search directly enhances the customer experience by allowing them to find products using various intuitive methods (images, voice, text). This leads to easier product discovery, higher engagement, and ultimately increased customer satisfaction and potential sales, which is a primary business benefit.

Question No : 10

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

정답:
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.

Question No : 11

A company wants to use generative AI to create a chatbot that can answer customer questions about their products and services. They need to ensure that the chatbot only uses information from the company's official documentation.
What should the company do?

A.Use role prompting.
B.Adjust the temperature parameter.
C.Use prompt chaining.
D.Use grounding.

정답:
Explanation:
Grounding is the technique of "grounding" the LLM's responses in specific, authoritative data sources (like the company's official documentation). This prevents the model from "hallucinating" or providing information outside of the approved knowledge base, ensuring accuracy and relevance to the company's specific products and services.

Question No : 12

A company is defining their generative AI strategy. They want to follow Google-recommended practices to increase their chances of success.
Which strategy should they use?

A.Rapid implementation strategy
B.Bottom-up strategy
C.Multi-directional strategy
D.Top-down strategy

정답:
Explanation:
Google Cloud often recommends a "top-down" approach for generative AI strategy. This means starting with clear business objectives and leadership alignment on how generative AI can solve critical business problems, rather than simply experimenting from the bottom up without a clear strategic direction.

Question No : 13

A financial services company receives a high volume of loan applications daily submitted as scanned documents and PDFs with varying layouts. The manual process of extracting key information is time-consuming and prone to errors. This causes delays in loan processing and impacts customer satisfaction. The company wants to automate the extraction of this critical data to improve efficiency and accuracy.
Which Google Cloud tool should they use?

A.Natural Language API
B.Dataflow
C.Vision AI
D.Document AI API

정답:
Explanation:
Document AI API is specifically designed for intelligent document processing. It uses machine learning to extract structured data from unstructured documents like scanned forms and PDFs, even with varying layouts. This directly addresses the challenge of automating data extraction from loan applications. Natural Language API focuses on text understanding, Vision AI on image analysis (not structured extraction from documents), and Dataflow is for data processing pipelines.

Question No : 14

A large e-commerce 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.Vertex AI Search
B.Vertex AI Platform
C.Google Shopping
D.Google Search

정답:
Explanation:
Vertex AI Search is ideal for this scenario. It allows companies to build sophisticated search experiences over their own product catalogs and support documents. This improves accuracy and helps customers find what they need, directly addressing high support costs and poor user experience. Vertex AI Platform is broader for general ML development, Google Shopping is for consumers, and Google Search is for the public web.

Question No : 15

What does Vertex AI Search enable companies to do?

A.To index and retrieve information from the entire public web, providing a comprehensive view of publicly 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 and product options across the internet.
D.To ground LLM responses with first-party data, third-party data, and Google's knowledge graph.

정답:
Explanation:
Vertex AI Search is designed to enable powerful search experiences over an organization's own data (first-party), external data (third-party), and can leverage Google's knowledge graph to provide more relevant and accurate responses, especially when grounding Large Language Models (LLMs). It does not index the entire public web like Google Search.

Google Generative AI Leader 시험