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当社のソフトウェアバージョンには、実際のGenerative-AI-Leader試験環境をシミュレートするという利点があります。多くの受験者は、練習をするときにパフォーマンスを発揮するには神経質すぎるため、実際のGenerative-AI-Leader試験に合格できません。 Generative-AI-Leader練習資料のこのソフトウェアバージョンは、心理的な恐怖を克服するのに役立ちます。その上、練習を終えると得点が表示されるので、数回後には間違いなくどんどん良くなります。 Generative-AI-Leader試験の受験を完了したため、Generative-AI-Leader試験に合格する必要があります。
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Generative AI Leader |
| Exam Number: | Generative-AI-Leader |
| Exam Duration: | 90 minutes |
| Related Certifications: | Google Cloud Professional Machine Learning Engineer Google Cloud Digital Leader |
| Real Exam Qty: | 50-60 |
| Available Languages: | English |
| Exam Format: | Multiple select, Multiple choice |
| Exam Price: | $99 USD |
| Certificate Validity Period: | 2 years |
| Recommended Training: | Google Cloud Skills Boost - Generative AI learning paths |
| Exam Registration: | Google Cloud Certification Portal |
| Sample Questions: | Google Generative-AI-Leader Sample Questions |
| Exam Way: | Online proctored exam |
| Pre Condition: | No strict prerequisites; basic understanding of cloud computing and AI concepts recommended |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/generative-ai-leader |
>> Generative-AI-Leader試験資料 <<
MogiExam提供した商品の品質はとても良くて、しかも更新のスピードももっともはやくて、もし君はGoogleのGenerative-AI-Leaderの認証試験に関する学習資料をしっかり勉強して、成功することも簡単になります。
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質問 # 60
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?
正解：C
解説：
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.
質問 # 61
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?
正解：D
解説：
This scenario strongly points to the need for accurate and up-to-date information retrieval from a product catalog. Pre-built RAG (Retrieval-Augmented Generation) combined with Vertex AI Search is the ideal solution. Vertex AI Search can index the product catalog, and RAG can then use this indexed data to ground the responses of a generative AI model, ensuring that both customer searches and support agent queries retrieve precise and relevant product information.
質問 # 62
An organization wants to use generative AI to create a chatbot that can answer customer questions about their account balances. They need to ensure that the chatbot can access previous portions of the conversation with the customer. Which prompting technique should they use?
正解：C
解説：
Prompt chaining (or conversational memory/context management) is the technique used to maintain the conversational context. It involves feeding previous turns of a conversation (or a summary of them) back into the model along with the current user query, allowing the chatbot to "remember" and reference past interactions for coherent and contextually relevant responses, especially crucial for tasks like checking account balances that span multiple turns.
質問 # 63
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?
正解：D
質問 # 64
A research company needs to analyze several lengthy PDF documents containing financial reports and identify key performance indicators (KPIs) and their trends over the past year. They want a Google Cloud prebuilt generative AI tool that can process these documents and provide summarized insights directly from the source material with citations. What should the analyst do?
正解：D
解説：
The requirements are for a prebuilt tool that is designed for:
Analyzing uploaded private documents (lengthy PDFs).
Providing summarized insights (extracting KPIs and trends). Offering citations (grounding the answers to the source material). NotebookLM (C) is the Google tool explicitly designed for this use case. It is a generative AI powered notebook/research assistant that allows users to upload source documents (including PDFs), then ask questions and generate summaries or insights that are grounded in and cited back to the source documents. This makes it an ideal prebuilt solution for an analyst who needs to process complex, lengthy financial reports and verify the data with citations.
質問 # 65
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