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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Generative AI Leader Certification Exam |
| Exam Number: | Generative-AI-Leader |
| Passing Score: | Not publicly disclosed |
| Available Languages: | Portuguese, Spanish, Japanese, English |
| Exam Duration: | 90 minutes |
| Exam Format: | Multiple choice |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 50-60 |
| Exam Price: | USD 99 (plus tax where applicable) |
| Recommended Training: | Generative AI Leader Training Course Generative AI Leader Study Guide |
| 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 |
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NEW QUESTION # 32
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 expertiseand need a versatile solution.
Which Google foundation model should they use?
Answer: B
Explanation:
Gemini is Google's most advanced and multimodal foundation model, capable of understanding and generating various forms of content, including text and images, from a single prompt. Its versatility makes it suitable for marketing teams that need to create diverse campaign materials without deep AI expertise.
Imagen is specifically for image generation, Gemma is a family of smaller, open models, and Veo is for video generation.
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NEW QUESTION # 33
A national bank is overwhelmed by customer inquiries across multiple channels and needs an AI- powered solution to provide seamless, consistent support, empower customer support agents, and improve service quality. What Google Cloud product should the bank use?
Answer: A
Explanation:
The bank's requirement is for a solution that provides seamless, consistent support across multiple channels and helps to empower customer support agents and improve service quality.
This describes the need for a comprehensive, end-to-end customer service infrastructure. Google Contact Center as a Service (CCaaS) is the full, cloud-native contact center solution offered by Google Cloud (part of the Customer Engagement Suite). It is specifically designed to unify customer interactions across various channels (phone, chat, web messaging) and provides the necessary infrastructure for routing, managing agent workflows, and ensuring a consistent and secure customer experience at scale. This solution goes beyond simply automating a chatbot.
NEW QUESTION # 34
A customer service team wants to use generative AI to improve the quality and consistency of their email responses to customer inquiries. They need a solution that can guide the AI to adopt a helpful, empathetic tone while adhering to company policies. Which prompting technique should they use?
Answer: B
Explanation:
The most direct and effective way to influence the style, personality, and knowledge context of an AI's response is through Role Prompting.
Role Prompting involves instructing the model to assume a specific persona (a "role") before responding. By assigning the AI the role of an "experienced customer service representative" (B), the model is implicitly directed to adopt a professional, helpful, and empathetic tone. Furthermore, specifying "with corporate knowledge" directs the model to prioritize responses consistent with internal company policies. This technique is a foundational element of prompt engineering, often used in conjunction with other methods (like grounding, if specific policy documents were needed) to dramatically shift the output style and relevance.
While Few-shot prompting (D) could provide examples to influence style, it's less efficient than a clear role instruction and still requires the model to infer the persona. Prompt Chaining (A) is used to manage multi-turn conversation memory, not to set the tone or persona. Therefore, defining the Role is the core technique for establishing both the desired tone and the necessary professional context in a single instruction.
(Reference: Google's documentation on prompt engineering for customer service shows examples where users begin the prompt with "I am a customer service representative" to set the tone and persona for the generated response, confirming Role Prompting as the technique for ensuring style and consistency.)
NEW QUESTION # 35
A company is trying to decide which platform to use to optimize its generative AI (gen AI) solutions.
Why should the company use Vertex AI Platform?
Answer: B
Explanation:
Vertex AI is Google Cloud's core, end-to-end Machine Learning Operations (MLOps) platform, designed to cover the entire ML lifecycle.
The key benefit of Vertex AI, particularly for generative AI, is that it provides a unified platform (D) where all stages of AI development--from accessing foundation models in Model Garden, testing in Vertex AI Studio, training and tuning (via tools like Reinforcement Learning from Human Feedback), to deploying, and monitoring models in production--can be managed from a single service. This significantly reduces complexity, improves collaboration between teams (data scientists, engineers, business leaders), and ensures enterprise-grade governance and scalability necessary for production Gen AI solutions.
NEW QUESTION # 36
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?
Answer: B
Explanation:
Gemini is Google's most advanced and multimodal foundation model, capable of understanding and generating various forms of content, including text and images, from a single prompt. Its versatility makes it suitable for marketing teams that need to create diverse campaign materials without deep AI expertise. Imagen is specifically for image generation, Gemma is a family of smaller, open models, and Veo is for video generation.
NEW QUESTION # 37
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