GENERATIVE-AI-LEADER LATEST STUDY PLAN - ACTUAL GENERATIVE-AI-LEADER TESTS

Generative-AI-Leader Latest Study Plan - Actual Generative-AI-Leader Tests

Generative-AI-Leader Latest Study Plan - Actual Generative-AI-Leader Tests

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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q36-Q41):

NEW QUESTION # 36
What will Google Cloud's Agent Assist help a company achieve?

  • A. The infrastructure to provide an enterprise-grade contact center solution with omnichannel support, routing, and integration with CRM systems.
  • B. The ability to analyze conversational data to identify customer sentiment, common topics of discussion, and insights into agent performance and customer experience.
  • C. The ability to provide real-time assistance and recommended responses to live customer service agents during their interactions.
  • D. The ability to build and deploy deterministic and generative chatbot agents for automated customer support.

Answer: C

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 # 37
An organization wants granular control over who can use and see their generative AI models and related resources on Google Cloud. Which Google Cloud security offering is specifically for this purpose?

  • A. Identity and Access Management
  • B. Security Command Center
  • C. Secure-by-design infrastructure
  • D. Workload monitoring tools

Answer: A

Explanation:
Identity and Access Management (IAM) is the fundamental Google Cloud service that allows you to define who has what access to which resources. It provides granular control over permissions for users, groups, and service accounts, including access to generative AI models and related data.
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NEW QUESTION # 38
A security team needs a centralized platform to gain a comprehensive overview of their organization's security health across their entire Google Cloud environment, including potential threats to their generative AI deployments. Which Google Cloud security offering is specifically for this purpose?

  • A. Security Command Center
  • B. Identity and Access Management
  • C. Secure-by-design infrastructure
  • D. Workload monitoring tools

Answer: A

Explanation:
Security Command Center is Google Cloud's comprehensive security management and data risk platform. It provides centralized visibility into security posture, identifies vulnerabilities, detects threats, and helps manage compliance across the entire Google Cloud environment, includingservices and deployments like generative AI.
________________________________________


NEW QUESTION # 39
A highly regulated financial institution wants to use copyright as the core decision engine for a loan approval system that will deterministically approve or reject loan applications based on a strict set of predefined criteria. Why is this an inappropriate use case for copyright?

  • A. copyright is not equipped to handle structured numerical data for financial assessments.
  • B. copyright is designed for flexible content generation and inference, not rigid rule-based decisions.
  • C. copyright cannot integrate with required financial databases.
  • D. copyright deployment for this scenario would be too expensive and complex.

Answer: B

Explanation:
copyright, as a large language model, excels at flexible content generation, summarization, understanding, and inference. However, it is not designed for deterministic, rule-based decision-making that requires absolute consistency and adherence to strict, predefined criteria, as is common in highly regulated financial systems like loan approvals. Such systems typically require traditional programming logic or specific rule engines for auditable and consistent outcomes.
________________________________________


NEW QUESTION # 40
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. copyright
  • D. Imagen

Answer: C

Explanation:
copyright 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.
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NEW QUESTION # 41
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