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100% Pass 2026 Google Generative-AI-Leader Latest New Exam Bootcamp

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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q51-Q56):

NEW QUESTION # 51
A global news agency is developing a generative AI tool to quickly summarize breaking news articles as they emerge online. The goal is to provide their audience with rapid updates on fast-developing stories from various global sources. What Google Cloud solution should they use?

A. Document AI
B. BigQuery
C. Vertex AI Natural Language API
D. Grounding with Google Search

Answer: D

Explanation:
For summarizing breaking news articles as they emerge online from various global sources, the generative AI model needs access to current, broad, and rapidly updating information. Grounding with Google Search allows the LLM to pull in the latest information from the web, ensuring the summaries are current and comprehensive. While Vertex AI Natural Language API can summarize text, it wouldn't inherently have access to the latest breaking news unless explicitly fed.
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NEW QUESTION # 52
What is a primary benefit of using a multi-agent system?

A. To simplify the most basic and repetitive rule-based tasks.
B. To manage complex tasks that demand coordinated AI functions.
C. To serve as a platform for hosting traditional, non-AI applications.
D. To consolidate all unique AI functions into a single, undifferentiated model.

Answer: B

Explanation:
Multi-agent systems are designed to tackle complex problems by breaking them down into sub-tasks, where each agent specializes in a specific function. These agents then coordinate and collaborate to achieve a larger, more intricate goal that a single, monolithic AI model might struggle with.
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NEW QUESTION # 53
A sales manager wants to responsibly use generative AI (gen AI) to increase efficiency with their existing tasks. They want to allow the sales team to focus on building customer relationships and closing deals. How should the sales team use gen AI?

A. To automate creative content like blog posts and social media updates to attract new leads.
B. To draft emails and provide real-time insights about customer needs.
C. To replace the sales team's CRM system with a more intuitive and user-friendly interface.
D. To analyze customer interactions on social media and automatically generate sales pitches tailored to their public profiles.

Answer: B

Explanation:
The strategic goal is to boost sales efficiency by shifting the team's focus to high-value activities (relationships and closing deals) by automating repetitive administrative tasks.
Option C directly addresses this goal by leveraging Gen AI's core capabilities for text generation and summarization/analysis:
Drafting emails automates a major time sink for sales reps (a common, repetitive task).
Providing real-time insights automates the labor-intensive research and manual data analysis required to understand customer needs, giving the rep instant, actionable context.
Options A and D are less direct solutions for improving sales efficiency: Option A is an expensive, high-risk platform replacement, not an efficiency use case. Option D describes marketing tasks, which, while related, are not the primary, day-to-day tasks that sales reps perform to clear their schedules for relationship building. Therefore, Gen AI's most effective role in sales is as a productivity assistant for drafting and quick research.
(Reference: Google Cloud documentation on sales enablement use cases emphasizes that Gen AI's role is to automate administrative and time-consuming tasks like drafting outreach messages and synthesizing customer information to enhance seller productivity, allowing them to focus on revenue-generating activities.)

NEW QUESTION # 54
What is a characteristic of Google Cloud as a generative AI company?

A. Google Cloud provides fully autonomous AI agents that require zero configuration or management overhead.
B. Google Cloud relies on proprietary, closed-source AI technologies for maximum security benefits.
C. Google Cloud has an AI-first focus that enables innovation, with continuous updates and broad integration across its platform.
D. Google Cloud ensures that all generative AI models and data are completely secured and isolated from external networks.

Answer: C

Explanation:
Google Cloud emphasizes an AI-first approach, integrating AI capabilities across its services and consistently innovating with new models and features. While security is a high priority, fully autonomous AI agents requiring zero configuration are generally not the norm, and "completely secured and isolated from external networks" is an oversimplification of cloud security models. Google also contributes to and supports open- source AI initiatives, not solely relying on proprietary closed-source technologies.
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NEW QUESTION # 55
A financial institution uses generative AI (gen AI) to approve and reject loan applications, but gives no reasons for rejection. Customers are starting to file complaints. The company needs to implement a solution to reduce the complaints. What should the company do?

A. Collect a larger and more diverse dataset for the gen AI model.
B. Implement explainable gen AI policies.
C. Fine-tune the gen AI model.
D. Develop fairness assessments for the gen AI model.

Answer: B

Explanation:
The core problem is the lack of reasons for rejection, leading to customer complaints. This falls under the domain of explainable AI (XAI). Implementing explainable gen AI policies or mechanisms would allow the institution to provide transparency into how the AI made its decision, addressing the customer complaints directly. While other options might improve the model, they don't directly solve the transparency issue.
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NEW QUESTION # 56
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