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Generative-AI-Leader Dumps & Generative-AI-Leader Valid Exam Test
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The modern Google world is changing its dynamics at a fast pace. To stay updated and competitive you have to learn these technological changes. With the one Google Cloud Certified - Generative AI Leader Exam (Generative-AI-Leader) certification exam you can do this easily. The Google Cloud Certified - Generative AI Leader Exam (Generative-AI-Leader) certification exam offers a unique and quick way to learn new in-demand expertise and enhance your knowledge.
Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q22-Q27):
NEW QUESTION # 22
According to Google-recommended practices, when should generative AI be used to automate tasks?
- A. When tasks are highly creative and require original thought.
- B. When tasks are complex and require strategic decision-making.
- C. When tasks are repetitive and rule-based.
- D. When tasks involve sensitive information or require human oversight
Answer: C
Explanation:
The strategic value of Generative AI (Gen AI) in a business context, as taught in Google's courses, is primarily to enhance efficiency and productivity by taking over tasks that consume significant employee time.
Gen AI excels in automating tasks that:
Are repetitive and time-consuming, such as drafting initial emails, summarizing long documents, or generating code snippets. Automating these routine tasks (C) frees employees to focus on higher-value activities (like building customer relationships or strategic planning).
Involve the generation of new content based on patterns learned from large datasets (e.g., text, images, code).
Options A and D represent high-value, strategic work-highly creative or complex strategic decision-making-where human judgment and oversight remain paramount. While Gen AI can assist with these (e.g., brainstorming creative ideas or providing data-backed insights), it is generally not recommended for full automation. Option B explicitly requires human oversight due to its sensitive nature. Therefore, the best fit for full or augmented automation for efficiency is the handling of routine, repeatable, and non-complex tasks.
(Reference: Google Cloud documentation on Gen AI adoption and efficiency states that Gen AI transforms work by automating repetitive and time-consuming tasks to free up time for strategic thinking and creativity.)
NEW QUESTION # 23
What will Google Cloud's Agent Assist help a company achieve?
- A. The ability to provide real-time assistance and recommended responses to live customer service agents during their interactions.
- B. The ability to build and deploy deterministic and generative chatbot agents for automated customer support.
- C. The ability to analyze conversational data to identify customer sentiment, common topics of discussion, and insights into agent performance and customer experience.
- D. The infrastructure to provide an enterprise-grade contact center solution with omnichannel support, routing, and integration with CRM systems.
Answer: A
Explanation:
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.
________________________________________
NEW QUESTION # 24
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?
- A. Chirp
- B. CodeGemma
- C. Gemini
- D. Imagen
Answer: C
Explanation:
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.
________________________________________
NEW QUESTION # 25
What is the definition of generative AI?
- A. A type of artificial intelligence that can create new content and ideas, including text, images, music, and code.
- B. A type of artificial intelligence that enables a system to autonomously learn and improve using neural networks and deep learning.4
- C. A type of machine learning algorithm inspired by the human brain that is made up of interconnected nodes.
- D. A type of predictive model that estimates a relationship by fitting a line to the observed data.
Answer: A
Explanation:
The defining characteristic of generative AI is its ability to create new, original content that resembles its training data. This includes various modalities like text, images, music, and code, rather than just classifying, predicting, or analyzing existing data.
________________________________________
NEW QUESTION # 26
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?
- A. Incorporate a human-in-the-loop (HITL) review process to refine the summaries.
- B. Decrease the output length of the summaries to make them more concise.
- C. Implement stricter safety settings to filter out potentially misinterpreted content altogether.
- D. Increase the temperature parameter of the model to encourage more varied and less literal interpretations.
Answer: A
Explanation:
When AI struggles with nuances like sarcasm or satire, human oversight is often the most effective solution.
A human-in-the-loop (HITL) process allows human reviewers to check, correct, and refine AI-generated content before it is published, ensuring accuracy and appropriateness, especially for sensitive or complex language.
________________________________________
NEW QUESTION # 27
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