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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q32-Q37):

NEW QUESTION # 32
A company has a machine learning project that involves diverse data types like streaming data and structured databases. How does Google Cloud support data gathering for this project?

• A. Google Cloud provides tools such as Pub/Sub, Cloud Storage, and Cloud SQL.
• B. Google Cloud relies on Vertex AI to connect to external data.
• C. Google Cloud's strengths are in the data analysis tools such as BigQuery.
• D. The Gemini app is the primary Google Cloud tool for directly collecting data.

Answer: A

Explanation:
Google Cloud offers a comprehensive suite of services for data ingestion and storage. Pub/Sub is for streaming data, Cloud Storage for various file types (including unstructured), and Cloud SQL for relational structured databases. These are fundamental for gathering diverse data. Gemini is a model, BigQuery is for analysis, and Vertex AI is for ML platform, not primary data collection tools themselves.
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NEW QUESTION # 33
A company is defining their generative AI strategy. They want to follow Google-recommended practices to increase their chances of success. Which strategy should they use?

• A. Rapid implementation strategy
• B. Multi-directional strategy
• C. Top-down strategy
• D. Bottom-up strategy

Answer: C

Explanation:
Google Cloud often recommends a "top-down" approach for generative AI strategy. This means starting with clear business objectives and leadership alignment on how generative AI can solve critical business problems, rather than simply experimenting from the bottom up without a clear strategic direction.
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NEW QUESTION # 34
A company wants to use generative AI to create a chatbot that can answer customer questions about their products and services. They need to ensure that the chatbot only uses information from the company's official documentation. What should the company do?

• A. Adjust the temperature parameter.
• B. Use role prompting.
• C. Use prompt chaining.
• D. Use grounding.

Answer: D

Explanation:
Grounding is the technique of "grounding" the LLM's responses in specific, authoritative data sources (like the company's official documentation). This prevents the model from "hallucinating" or providing information outside of the approved knowledge base, ensuring accuracy and relevance to the company's specific products and services.
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NEW QUESTION # 35
A company wants to adopt generative AI and is concerned about vendor lock-in. They want to maintain flexibility in their technology stack. What Google Cloud strength would ease their concerns?

• A. Google Cloud's strict adherence to proprietary technologies ensures the highest level of security and performance.
• B. Google Cloud's AI solutions have an open approach that supports customer choice across offerings.
• C. Google Cloud's AI solutions are pre-packaged for easy deployment, eliminating the need for customization and integration efforts.
• D. Google Cloud's focus on automation aims to replace human jobs with AI systems, potentially leading to significant workforce reductions.

Answer: B

Explanation:
Google Cloud promotes an open and flexible approach to its AI offerings, supporting open standards, open- source initiatives (like TensorFlow, Kubernetes, and Gemma), and providing various integration options. This helps alleviate vendor lock-in concerns by giving customers choice and control over their technology stack.
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NEW QUESTION # 36
The office of the CISO wants to use generative AI (gen AI) to help automate tasks like summarizing case information, researching threats, and taking actions like creating detection rules. What agent should they use?

• A. Code agent
• B. Data agent
• C. Customer service agent
• D. Security agent

Answer: D

Explanation:
Given the tasks involve researching threats and creating detection rules, the most appropriate and specialized agent would be a Security agent. This type of agent would be pre-configured or easily adaptable to understand security-specific contexts, data, and actions within a CISO's domain.
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NEW QUESTION # 37
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