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Google Generative-AI-Leader Exam Questions - Easily Pass Your Exam
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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q27-Q32):
NEW QUESTION # 27
A company wants a generative AI platform that provides the infrastructure, tools, and pre-trained models needed to build, deploy, and manage its generative AI solutions. Which Google Cloud offering should the company use?
- A. Google Kubernetes Engine (GKE)
- B. Vertex AI
- C. Google Cloud Storage
- D. BigQuery
Answer: B
Explanation:
Vertex AI is Google Cloud's unified machine learning platform that provides end-to-end support for the ML lifecycle, including access to pre-trained models (foundation models), tools for fine-tuning, deployment, and management of generative AI solutions. BigQuery is a data warehouse, GKE is for container orchestration, and Cloud Storage is for object storage; while they might be components used with Vertex AI, they are not the comprehensive generative AI platform themselves.
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NEW QUESTION # 28
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. Imagen
- C. Gemini
- D. CodeGemma
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 # 29
What is a characteristic of Google Cloud as a generative AI company?
- A. Google Cloud ensures that all generative AI models and data are completely secured and isolated from external networks.
- 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 provides fully autonomous AI agents that require zero configuration or management overhead.
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.
________________________________________
NEW QUESTION # 30
A development team is configuring a generative AI model for a customer-facing application and wants to ensure the generated content is appropriate and harmless. What is the primary function of the safety settings parameter in a generative AI model?
- A. To determine the number of tokens the model can process at once by influencing the complexity and length of inputs and outputs.
- B. To filter out potentially harmful or inappropriate content from the model's output based on the desired level of filtering.
- C. To control the creativity and randomness of the model's output by adjusting the diversity of word choices.
- D. To limit the maximum text length that the model generates by ensuring concise responses.
Answer: B
Explanation:
Safety settings in generative AI models are specifically designed to prevent the generation of content that could be harmful, offensive, or inappropriate. This includes filtering for categories like hate speech, sexually explicit content, self-harm, and violence, based on predefined thresholds. Options A, B, and D refer to other parameters like max_output_tokens or temperature, which control output length, input/output processing, and creativity, respectively, not safety.
________________________________________
NEW QUESTION # 31
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. Security agent
- C. Customer service agent
- D. Data agent
Answer: B
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.
________________________________________
NEW QUESTION # 32
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