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[Hardware] Valid C-AIG-2412 Exam Pattern - C-AIG-2412 Latest Exam Questions

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【Hardware】 Valid C-AIG-2412 Exam Pattern - C-AIG-2412 Latest Exam Questions

Posted at yesterday 04:35      View：17 | Replies：0        Print      Only Author   [Copy Link] 1#
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SAP C-AIG-2412 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • 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.
Topic 3
  • 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 4
  • 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.

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q20-Q25):NEW QUESTION # 20
What are some SAP recommendations to evaluate pricing and rate information of model usage within SAP's generative Al hub?
Note: There are 2 correct answers to this question.
  • A. Weigh the cost of using advanced models against the expected return on investment
  • B. Use pricing models that have fixed rates irrespective of the usage patterns
  • C. Adopt best practice pricing strategies, such as outcome-based pricing
  • D. Avoid subscription-based pricing models
Answer: A,C

NEW QUESTION # 21
What are some drivers for the rapid adoption of generative AI?
Note: There are 2 correct answers to this question.
  • A. Wide availability
  • B. Availability of skilled developers
  • C. Ease of use
  • D. Significant hardware cost savings
Answer: A,C

NEW QUESTION # 22
Which of the following are grounding principles included in SAP's AI Ethics framework? Note: There are 3 correct answers to this question.
  • A. Human agency and oversight
  • B. Transparency and explainability
  • C. Avoid bias and discrimination
  • D. Store all user data for legal proceedings
  • E. Maximize business profits
Answer: A,B,C

NEW QUESTION # 23
Which of the following sequence of steps does SAP recommend you use to solve a business problem using generative Al hub?
  • A. Create a basic prompt in SAP AI Launchpad
    *         Scale the solution using generative-ai-hub-sdk
    *         Create a baseline evaluation method for the simple prompt
    *         Enhance the prompts
    *         Evaluate various models for the problem using generative-ai-hub-sdk
  • B. Create a basic prompt in SAP AI Launchpad
    *         Enhance the prompts
    *         Create a baseline evaluation method for the simple prompt
    *         Evaluate various models for the problem using generative-ai-hub-sdk
    *         Scale the solution using generative-ai-hub-sdk
  • C. Create a basic prompt in SAP AI Launchpad
    *         Evaluate various models for the problem using generative-ai-hub-sdk
    *         Scale the solution using generative-ai-hub-sdk
    *         Create a baseline evaluation method for the simple prompt
    *         Enhance the prompts.
Answer: B

NEW QUESTION # 24
How can few-shot learning enhance LLM performance?
  • A. By reducing overfitting through regularization techniques
  • B. By offering input-output pairs that exemplify the desired behavior
  • C. By providing a large training set to improve generalization
  • D. By enhancing the model's computational efficiency
Answer: B
Explanation:
Few-shot learning enhances the performance of Large Language Models (LLMs) by providing them with a limited number of input-output examples that demonstrate the desired task behavior.
1. Mechanism of Few-Shot Learning:
* Exemplification:By supplying a few examples, the model gains insight into the task requirements, enabling it to generalize from these instances to handle new, unseen inputs effectively.
* Adaptability:This approach allows LLMs to adapt to specific tasks without extensive retraining, making them versatile across various applications.
2. Benefits in Performance Enhancement:
* Improved Accuracy:With clear examples, the model's predictions align more closely with the desired outcomes, reducing errors.
* Efficiency:Few-shot learning minimizes the need for large datasets, accelerating the development process and conserving computational resources.

NEW QUESTION # 25
......
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