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| Section | Objectives |
|---|---|
| Topic 1: Business Applications and Adoption Strategy | - Identifying business use cases for generative AI - AI-driven transformation and workflow integration - Measuring ROI and value of generative AI initiatives |
| Topic 2: Responsible AI and Governance | - AI safety, bias, and fairness considerations - Responsible AI principles and compliance - Data privacy and security in generative AI systems |
| Topic 3: Fundamentals of Generative AI | - Key use cases and limitations of generative AI - Difference between traditional AI, machine learning, and generative AI - Core concepts of generative AI and large language models |
| Topic 4: Google Cloud Generative AI Products and Tools | - Prompt design and prompt engineering tools - Vertex AI and Gemini models overview - AI APIs and model deployment options on Google Cloud |
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NEW QUESTION # 104
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?
Answer: A
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.
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NEW QUESTION # 105
A company has launched a new generative AI-powered chatbot on its customer service portal to handle frequently asked questions. They want to monitor the new chatbot's performance over time to ensure it continues to perform well. What Google-recommended practice should they use?
Answer: B
Explanation:
To evaluate and track the sustained performance and business impact of an AI system over time, organizations must establish, measure, and monitor quantitative Key Performance Indicators (KPIs). For customer support agents, standard KPIs include resolution rate, containment rate, deflection rate, latency, user satisfaction (CSAT), and error/escalation rates.
NEW QUESTION # 106
An online travel marketplace plans to pilot a generative AI system that crafts personalized in app messages to promote weekend deals. Executives want clarity on which factors should be treated as business requirements because they will guide solution objectives and success criteria. Which factor would count as a business requirement that would shape the gen AI approach?
Answer: A
Explanation:
It is a measurable business outcome that sets objectives and defines success criteria for the pilot.
Business requirements describe the why and the desired impact on the business. A KPI like this tells the team what to optimize and how to evaluate experiments and it informs guardrails for cost and latency tradeoffs during design.
NEW QUESTION # 107
A market research firm wants to use a Google Cloud prebuilt generative AI offering to streamline the process of extracting and synthesizing information from lengthy market reports and research papers. Their goal is to improve efficiency and provide faster insights to their clients. What should the organization do?
Answer: D
Explanation:
NotebookLM is a prebuilt, source-grounded research and synthesis tool designed for working with uploaded documents and other selected sources. The firm can provide its market reports and research papers, ask questions about their contents, generate summaries, compare information, and identify important themes. Because responses are grounded in the supplied sources, researchers can obtain focused insights more efficiently while retaining the ability to review supporting material. The standard Gemini app can provide general assistance but is less specifically optimized for a defined document collection. Building custom conversational agents would introduce unnecessary development effort when a prebuilt offering satisfies the requirement. Gemini in Google Workspace can assist with drafting and collaboration, but the central need is extracting and synthesizing information from lengthy source documents. NotebookLM is therefore the most appropriate choice.
NEW QUESTION # 108
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?
Answer: C
Explanation:
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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NEW QUESTION # 109
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