Generative AI Leader

Exam Code: Generative AI Leader

These questions and answers same as actual Google Generative AI Leader Certification Exam are prepared by our team of experienced Google certified consultants and domain experts. We have carefully maintained exam structure, syllabus, topic weights, cut score and time duration same as actual Google Certification Exam. Our online Google Certification practice exams contain practical case study-based questions and answers. We have prepared question bank for this practice exam with the help of experts' domain knowledge and collective feedback received from recently certified candidates and updated on regular intervals.

Topic Areas: Please note the list of topics that may be covered within this certification.

1. Section 1: Fundamentals of gen AI (~30% of the exam)

1.1   Describe core generative AI (gen AI) concepts and use cases.

1.2   Describe how various data types are used in gen AI and the business implications.

1.3   Identify the core layers of the gen AI landscape and the business implications.

1.4   Identify the use cases and strengths of Google’s foundation models.

2. Section 2: Google Cloud’s gen AI offerings (~35% of the exam)

2.1 Describe Google Cloud's strengths in the field of gen AI.

2.2 Describe how Google Cloud’s prebuilt gen AI offerings enable AI powered work.

2.3 Describe how Google Cloud’s gen AI offerings improve the customer experience.

2.4 Describe how Google Cloud empowers developers to build with AI.

2.5 Define the purpose and types of tooling for gen AI agents.

3. Section 3: Techniques to improve gen AI model output (~20% of the exam)

3.1 Describe how to proactively overcome foundation model limitations.

3.2 Describe prompt engineering techniques and how they drive better results.

3.3 Identify grounding techniques and their use cases.

4. Section 4: Business strategies for a successful gen AI solution (~15% of the exam)

4.1   Describe the Google Cloud-recommended steps to successfuly implement a transformational gen AI solution.

4.2 Define secure AI and its importance in protecting AI systems from malicious attacks and misuse.

4.3 Describe the importance of responsible AI in business.

Please note we provide you total 45 Questions & Answers for your perusal.

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