【評判】[NEW] Google Cloud Generative AI Leader - 6 Full Mock Exams

Define core Generative AI concepts and terminology.
Differentiate between supervised, unsupervised, and reinforcement learning.
Identify key stages of the machine learning lifecycle.
Explain characteristics of structured vs. unstructured data.
Recognize the importance of data quality and accessibility.
Choose appropriate foundation models for business needs.
Describe Google Cloud's AI-first approach and innovation.
Explain Google Cloud's enterprise-ready AI platform features.
Identify Google Cloud's AI-optimized infrastructure components.
Understand Google Cloud's comprehensive AI ecosystem.
Recognize the benefits of Google Cloud's open approach to AI.
Identify Google Cloud's prebuilt AI offerings for AI-powered work.
Explain Vertex AI Search for enterprise search and recommendations.
Understand Google's Customer Engagement Suite capabilities.
Utilize Vertex AI Platform for building and deploying ML models.
Describe Vertex AI Agent Builder for custom AI agents.
Determine when to use Google AI Studio vs. Vertex AI Studio.
Define the purpose and types of tooling for Gen AI agents.
Identify common limitations of foundation models (e.g., bias, hallucinations).
Apply prompt engineering techniques for improved AI outputs.
Explain the concept of grounding LLMs with various data types.
Describe how Retrieval-Augmented Generation (RAG) enhances model output.
Control AI model behavior using sampling parameters (e.g., temperature, Top-P).
Explain Human-in-the-Loop (HITL) for effective model oversight.
Recognize Google Cloud practices for continuous model monitoring.
Identify key factors influencing Gen AI solution development.
Explain the importance of security throughout the ML lifecycle.
Describe privacy considerations like data anonymization.
Understand the importance of responsible AI, accountability, and explainability.

Prepare confidently for the new Google Cloud Generative AI Leader certification with this comprehensive practice exam course. Designed to mirror the official exam experience, this course provides the essential practice and in-depth understanding you need to succeed.

What you'll experience:

• Six (6) Full-Length Mock Exams: Test your knowledge across all exam domains with realistic scenarios and question formats.

• 300 Unique, High-Quality Questions: Each question is carefully crafted to assess your understanding of core concepts and Google Cloud's Generative AI offerings.

• Detailed Explanations for Every Option: Go beyond just knowing the right answer. Understand why the correct option is best and why the incorrect options are wrong, turning every question into a learning opportunity.

• Direct Links to Official Resources: Access relevant Google Cloud documentation and study guides directly from explanations to deepen your knowledge on specific topics.

• Full Alignment with the Official Exam Guide: Questions are meticulously mapped to the latest Google Cloud Generative AI Leader exam syllabus, ensuring targeted and effective preparation.

Topics covered include:

• Fundamentals of Generative AI (Concepts, ML Approaches, Lifecycle)

• Google Cloud's Generative AI Offerings (Gemini, Vertex AI, Agentspace, etc.)

• Techniques to Improve Model Output (Prompt Engineering, RAG, Fine-tuning)

• Business Strategies for Gen AI Solutions (Responsible AI, Security, Adoption)

Why choose this course?

Gain the confidence to tackle the certification exam by identifying your knowledge gaps, reinforcing key concepts, and mastering the nuances of Generative AI in the Google Cloud ecosystem.

Ready to validate your Generative AI leadership skills?

Start practicing today!