NEW C-AIG-2412 REAL TEST & C-AIG-2412 VALID TEST TOPICS

New C-AIG-2412 Real Test & C-AIG-2412 Valid Test Topics

New C-AIG-2412 Real Test & C-AIG-2412 Valid Test Topics

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Tags: New C-AIG-2412 Real Test, C-AIG-2412 Valid Test Topics, Reliable C-AIG-2412 Test Notes, Reliable C-AIG-2412 Exam Online, Practice C-AIG-2412 Exam Online

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SAP C-AIG-2412 Valid Test Topics - Reliable C-AIG-2412 Test Notes

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SAP C-AIG-2412 Exam Syllabus Topics:

TopicDetails
Topic 1
  • SAP Business AI: This section of the exam measures the skills of business analysts and covers the features and capabilities of SAP Business AI. It includes exploring how AI can automate processes, provide real-time insights, and enhance decision-making across various business functions.
Topic 2
  • Large Language Models (LLMs): This section of the exam measures the skills of AI Developers and covers the evolution of large language models, distinguishing them from traditional IT operations analytics. It also explores the current stages of AIOps systems and their implications for organizations. A key skill assessed is understanding the foundational concepts behind LLMs and their applications in various contexts.
Topic 3
  • SAP's Generative AI Hub: This section of the exam measures the skills of technology strategists and covers the functionalities provided by SAP's Generative AI Hub. It emphasizes how organizations can use generative AI to create new content and automate complex tasks. A vital skill evaluated is applying generative AI techniques to enhance business processes and customer experiences.
Topic 4
  • SAP AI Core: This section of the exam measures the skills of SAP developers and covers the core components of SAP's AI framework. It emphasizes how these components integrate with existing systems to enhance functionality and performance. Leveraging SAP AI Core to develop intelligent applications that meet business needs is a critical skill that needs to be evaluated.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q28-Q33):

NEW QUESTION # 28
Which of the following are grounding principles included in SAP's AI Ethics framework?
Note: There are 3 correct answers to this question.

  • A. Transparency and explainability
  • B. Human agency and oversight
  • C. Store all user data for legal proceedings
  • D. Maximize business profits
  • E. Avoid bias and discrimination

Answer: A,B,E


NEW QUESTION # 29
How does SAP deal with vulnerability risks created by generative Al? Note: There are 2 correct answers to this question.

  • A. By identifying human, technical, and exfiltration risks through an Al Security Taskforce.
  • B. By focusing on technological advancement only.
  • C. By relying on external vendors to manage security threats.
  • D. By implementing responsible Al use guidelines and strong product security standards.

Answer: A,D


NEW QUESTION # 30
Which of the following are features of the SAP AI Foundation?
Note: There are 2 correct answers to this question.

  • A. Open source Al model repository
  • B. Ready-to-use Al services
  • C. Joule integration in SAP SuccessFactors
  • D. Al runtimes and lifecycle management

Answer: B,D


NEW QUESTION # 31
What are the benefits of SAP's generative Al hub? Note: There are 2 correct answers to this question.

  • A. Send your data to various LLM providers for training feedback
  • B. Accelerate Al development with flexible access to a broad range of models
  • C. Provide libraries for no-code development
  • D. Build custom Al solutions and extend SAP applications

Answer: B,D

Explanation:
SAP's Generative AI Hub offers several benefits that enhance AI development and integration within business processes:
1. Accelerate AI Development with Flexible Access to a Broad Range of Models:
* Diverse Model Access:The Generative AI Hub provides instant access to a wide array of large language models (LLMs) from various providers, such as GPT-4 by Azure OpenAI and open-source models like Falcon-40b.
* Flexible Integration:This access allows developers to select and utilize the most suitable models for their specific use cases, thereby accelerating AI development and deployment.
2. Build Custom AI Solutions and Extend SAP Applications:
* Custom AI Solutions:The hub offers a comprehensive toolset for building custom AI solutions, including prompt engineering tools, SDKs, and fine-tuning services.
* Extending SAP Applications:Developers can leverage these tools to create AI-powered extensions for SAP applications like SAP S/4HANA and SAP SuccessFactors, enhancing their functionality and adaptability.


NEW QUESTION # 32
What are some use cases for fine-tuning of a model?
Note: There are 2 correct answers to this question.

  • A. To customize outputs for specific types of inputs
  • B. To quickly create iterations on a new use case
  • C. To introduce new knowledge to a model in a resource-efficient way
  • D. To sanitize model outputs

Answer: A,C


NEW QUESTION # 33
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