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Exam Outline

Google Cloud Generative AI Leader

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Exam Subjects
1
Topics
77
Scoped Questions
1,740
Domain Weight Gap
0%
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  • Google Cloud Generative AI Leader 77 topics
    • Fundamentals of gen AI 30% 4 subtopics
      • Describe core generative AI (gen AI) concepts and use cases 6 subtopics
      • Describe how various data types are used in gen AI and the business implications 3 subtopics
      • Identify the core layers of the gen AI landscape and the business implications 5 subtopics
      • Identify the use cases and strengths of Google's foundation models 4 subtopics
    • Google Cloud's gen AI offerings 35% 5 subtopics
      • Describe Google Cloud's strengths in the field of gen AI 7 subtopics
      • Describe how Google Cloud's prebuilt gen AI offerings enable AI powered work 3 subtopics
      • Describe how Google Cloud's gen AI offerings improve the customer experience 2 subtopics
      • Describe how Google Cloud empowers developers to build with AI 3 subtopics
      • Define the purpose and types of tooling for gen AI agents 3 subtopics
    • Techniques to improve gen AI model output 20% 3 subtopics
      • Describe how to proactively overcome foundation model limitations 3 subtopics
      • Describe prompt engineering techniques and how they drive better results 3 subtopics
      • Identify grounding techniques and their use cases 4 subtopics
    • Business strategies for a successful gen AI solution 15% 3 subtopics
      • Describe the Google Cloud-recommended steps to successfully implement a transformational gen AI solution 5 subtopics
      • Define secure AI and its importance in protecting AI systems from malicious attacks and misuse 3 subtopics
      • Describe the importance of responsible AI in business 4 subtopics
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