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オンライン版はあらゆる電子機器に公開されています。同時に、Generative-AI-Leader学習資料のオンライン版はオフライン状態でも使用できます。オンライン状態にあるときに初めてオンラインバージョンを使用する必要があります。 Generative-AI-Leader学習教材のバージョンをオフラインで使用する権利があります。また、Generative-AI-Leaderの学習教材をさらに検討する場合は、短時間でGenerative-AI-Leader試験に簡単に合格する必要があります。
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Generative AI Leader Certification Exam |
| Exam Number: | Generative-AI-Leader |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 3 years |
| Passing Score: | Not publicly disclosed |
| Exam Format: | Multiple choice |
| Real Exam Qty: | 50-60 |
| Available Languages: | Spanish, Japanese, English, Portuguese |
| Exam Price: | USD 99 (plus tax where applicable) |
| Recommended Training: | Generative AI Leader Study Guide Generative AI Leader Training Course |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: | Google Generative-AI-Leader Sample Questions |
| Exam Way: | Online-proctored or onsite-proctored |
| Pre Condition: | No prerequisites required; open to all roles and backgrounds |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/generative-ai-leader |
>> Generative-AI-Leader関連受験参考書 <<
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質問 # 111
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?
正解：D
解説：
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.
質問 # 112
What will Google Cloud's Agent Assist help a company achieve?
正解：D
解説：
Google Cloud's Agent Assist is specifically designed to augment human customer service agents.
It provides real-time suggestions, retrieves relevant information, and offers recommended responses to agents during live interactions, improving their efficiency and consistency.
質問 # 113
During an annual strategy briefing at Meadowbrook Supply, the chief executive outlines several intelligent initiatives. She describes a model that forecasts customer churn from past behavior.
She mentions a conversational agent that writes personalized promotional emails. She explains autonomous systems that improve stocking layouts in regional warehouses. She also notes detectors that flag suspicious payment activity. What is the most accurate umbrella term that she should use to collectively describe these capabilities?
正解：B
解説：
This is the most accurate umbrella term because it collectively covers predictive modeling of churn, conversational systems that generate personalized messages, autonomous decision making for warehouse layouts, and anomaly detection for payments.
This umbrella includes systems that learn from data and make predictions about customer behavior. It also includes conversational agents that produce tailored content and autonomous agents that optimize actions in real environments. It further includes detectors that identify unusual or risky transactions. All of these capabilities fall within the broader field of intelligent systems.
質問 # 114
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：B
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.
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質問 # 115
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：B
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 # 116
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