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[General] C-AIG-2412 Exam Guide - C-AIG-2412 Certification

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【General】 C-AIG-2412 Exam Guide - C-AIG-2412 Certification

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SAP C-AIG-2412 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Large Language Models (LLMs): This section of the exam measures the skills of AI Developers and covers the practical use of large language models in SAP environments. Candidates are expected to understand how LLMs can be applied to automate tasks, enhance decision-making, and improve user interaction within SAP systems. The exam evaluates knowledge of handling model selection, fine-tuning, and adapting LLMs to specific business cases.
Topic 2
  • SAP AI Core: This section of the exam measures the skills of AI Developers and covers the fundamental components of SAP AI Core. Candidates are assessed on their ability to work with the core services that allow machine learning models to be deployed and managed within SAP environments. The focus is on understanding how AI Core fits into SAP’s ecosystem and ensures smooth integration with enterprise applications.
Topic 3
  • SAP's Generative AI Hub: This section of the exam measures the skills of Solution Architects and covers SAP’s Generative AI Hub, which acts as the central layer for designing and managing generative AI solutions. The exam tests knowledge of building, deploying, and connecting AI models to business scenarios through the Hub. Emphasis is placed on leveraging the Hub to streamline workflows and ensure scalable solutions that align with organizational needs.
Topic 4
  • Advanced AI Techniques with SAP’s Generative AI Hub: This section of the exam measures the skills of Solution Architects and covers advanced techniques available through SAP’s Generative AI Hub. Candidates are assessed on their ability to design, optimize, and scale generative AI solutions that go beyond basic implementations. The focus includes applying sophisticated strategies to integrate advanced models, manage performance, and align AI-driven outcomes with complex enterprise goals.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q21-Q26):NEW QUESTION # 21
Which of the following techniques uses a prompt to generate or complete subsequent prompts (streamlining the prompt development process), and to effectively guide Al model responses?
  • A. Chain-of-thought prompting
  • B. Meta prompting
  • C. One-shot prompting
  • D. Few-shot prompting
Answer: B

NEW QUESTION # 22
How does SAP ensure the enterprise-readiness of its Al solutions?
  • A. By ensuring that Al models make bias-free decisions without human input
  • B. By using generic Al models without business context complying with Al ethics standards
  • C. By implementing rigorous product standards for Al capabilities
Answer: C
Explanation:
SAP ensures the enterprise-readiness of its AI solutions through the implementation of rigorous product standards:
1. Rigorous Product Standards for AI Capabilities:
* Development Guidelines:SAP adheres to strict guidelines during the development of AI systems, ensuring they meet high standards of quality, security, and performance.
* Ethical Framework:SAP's AI Ethics Policy governs the development, deployment, use, and sale of AI systems, defining clear ethical rules aligned with global standards.
* Compliance and Governance:SAP has established governance bodies and processes to oversee AI ethics, ensuring that AI solutions are developed and deployed responsibly.

NEW QUESTION # 23
What does the Prompt Management feature of the SAP AI launchpad allow users to do?
  • A. Access and manage saved prompts and their versions
  • B. Create and edit prompts
  • C. Interact with models through a conversational interface
  • D. Provide personalized user interactions
Answer: A,B

NEW QUESTION # 24
Which of the following capabilities does the generative Al hub provide to developers? Note: There are 2 correct answers to this question.
  • A. Code generation to extend SAP BTP applications
  • B. Integration of foundation models into applications
  • C. Proprietary LLMs exclusively
  • D. Tools for prompt engineering and experimentation
Answer: A,D

NEW QUESTION # 25
What are some benefits of the SAP AI Launchpad? Note: There are 2 correct answers to this question.
  • A. Simplified model retraining and performance improvement.
  • B. Integration with non-SAP platforms like Azure and AWS.
  • C. Direct deployment of Al models to SAP HANA.
  • D. Centralized Al lifecycle management for all Al scenarios.
Answer: A,D
Explanation:
SAP AI Launchpad offers several benefits that enhance the development, deployment, and management of AI models within an organization.
1. Centralized AI Lifecycle Management for All AI Scenarios:
* Unified Platform:SAP AI Launchpad provides a centralized platform to manage the entire AI lifecycle, including model development, training, deployment, monitoring, and maintenance.
* Efficiency:This centralized approach streamlines workflows, reduces complexity, and ensures consistency across various AI projects and scenarios.

NEW QUESTION # 26
......
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