Google Cloud Certified - Generative AI Leader Exam 온라인 연습
최종 업데이트 시간: 2025년06월18일
당신은 온라인 연습 문제를 통해 Google Generative AI Leader 시험지식에 대해 자신이 어떻게 알고 있는지 파악한 후 시험 참가 신청 여부를 결정할 수 있다.
시험을 100% 합격하고 시험 준비 시간을 35% 절약하기를 바라며 Generative AI Leader 덤프 (최신 실제 시험 문제)를 사용 선택하여 현재 최신 45개의 시험 문제와 답을 포함하십시오.
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Question No : 1
A social media platform uses a generative AI model to automatically generate summaries of user-submitted posts to provide quick overviews for other users. While the summaries are generally accurate for factual posts, the model occasionally misinterprets sarcasm, satire, or nuanced opinions, leading to summaries that misrepresent the original intent and potentially cause misunderstandings or offense among users.
What should the platform do to overcome this limitation of the AI-generated summaries?
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Question No : 2
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?
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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?
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Question No : 4
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?
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Question No : 5
A large e-commerce company with a vast and frequently updated product catalog finds that customers struggle to find products on their website, and support agents spend too much time finding detailed product information. The company wants to improve search accuracy and efficiency for both customers and support.
What Google Cloud solution should they use?
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Question No : 6
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?
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Question No : 7
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?
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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?
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Question No : 9
A global news agency is developing a generative AI tool to quickly summarize breaking newsarticles as they emerge online. The goal is to provide their audience with rapid updates on fast-developing stories from various global sources.
What Google Cloud solution should they use?
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Question No : 10
What is a characteristic of Google Cloud as a generative AI company?
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Question No : 11
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?
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Question No : 12
What is the definition of generative AI?
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Question No : 13
A software development team wants to use generative AI (gen AI) to code faster so they can launch their software prototype quicker.
What should the team do?
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Question No : 14
A financial institution uses generative AI (gen AI) to approve and reject loan applications, but gives no reasons for rejection. Customers are starting to file complaints. The company needs to implement a solution to reduce the complaints.
What should the company do?
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Question No : 15
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?