GENERATIVE-AI-LEADER VALID BRAINDUMPS PDF, GENERATIVE-AI-LEADER VALID TEST SIMS

Generative-AI-Leader Valid Braindumps Pdf, Generative-AI-Leader Valid Test Sims

Generative-AI-Leader Valid Braindumps Pdf, Generative-AI-Leader Valid Test Sims

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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q12-Q17):

NEW QUESTION # 12
A research team has collected a large dataset of sensor readings from various industrial machines. This dataset includes measurements like temperature, pressure, vibration levels, and electrical current, recorded at regular intervals. The team has not yet assigned any labels or categories to these readings and wants to identify potential anomalies, malfunctions, or natural groupings of machine behavior based on the sensor data alone.
What type of machine learning should they use?

  • A. Supervised learning
  • B. Reinforcement learning
  • C. Unsupervised learning
  • D. Deep learning

Answer: C

Explanation:
Since the team has not yet assigned any labels or categories to the sensor readings and wants to identify
"anomalies, malfunctions, or natural groupings" based on the data alone, this is a classic unsupervised learning problem. Unsupervised learning techniques like clustering or anomaly detection are used to find hidden patterns or structures in unlabeled data.
________________________________________


NEW QUESTION # 13
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.
________________________________________


NEW QUESTION # 14
An organization wants to use generative AI to create a marketing campaign. They need to ensure that the AI model generates text that is appropriate for the target audience. What should the organization do?

  • A. Use role prompting.
  • B. Adjust the temperature parameter.
  • C. Use few-shot prompting.
  • D. Use prompt chaining.

Answer: A

Explanation:
Role prompting is a technique where you instruct the generative AI model to "act as" a specific persona or character. By assigning the model a role (e.g., "Act as a marketing expert writing for a young, tech-savvy audience"), you can guide its tone, style, and content to be appropriate for the target audience of the marketing campaign.
________________________________________


NEW QUESTION # 15
A large multinational corporation with geographically dispersed teams struggles with knowledge silos and inconsistent access to crucial internal information. What is a key business benefit of using Google Agentspace in this scenario?

  • A. Automation of employee performance reviews using AI.
  • B. Enhanced data encryption and compliance for internal communications.
  • C. Seamless knowledge sharing and collaboration across internal systems.
  • D. Improved IT infrastructure management across offices.

Answer: C

Explanation:
Google Agentspace (or similar agent-based frameworks) aims to connect and orchestrate various AI capabilities and data sources. In a scenario with knowledge silos, a key benefit would be to enable seamless knowledge sharing and collaboration by allowing agents to access, process, and disseminate information across different internal systems and teams.
________________________________________


NEW QUESTION # 16
An organization with a team of live customer service agents wants to improve agent efficiency and customer satisfaction during support interactions. They are looking for a tool that can provide real-time guidance to agents, suggest helpful information, and streamline the support process without fully automating customer conversations. Which component of Google's Customer Engagement Suite should they use?

  • A. Agent Assist
  • B. Conversational Agents
  • C. Conversational Insights
  • D. Google Cloud Contact Center as a Service

Answer: A

Explanation:
As previously mentioned, Agent Assist is specifically designed for real-time support to human agents, providing them with suggestions and relevant information during live customer interactions. Conversational Agents (chatbots) automate interactions, Conversational Insights analyze conversations after they occur, and Contact Center as a Service is the broader infrastructure.
________________________________________


NEW QUESTION # 17
......

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