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C_AIG_2412 Latest Dump, C_AIG_2412 Valid Exam Practice

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C_AIG_2412 Latest Dump, C_AIG_2412 Valid Exam Practice

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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
  • 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 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.

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q19-Q24):NEW QUESTION # 19
What are some metrics to evaluate the effectiveness of a Retrieval Augmented Generation system? Note: There are 2 correct answers to this question.
  • A. Speed
  • B. Faithfulness
  • C. Relevance
  • D. Carbon footprint
Answer: B,C

NEW QUESTION # 20
How do resource groups in SAP AI Core improve the management of machine learning workloads? Note: There are 2 correct answers to this question.
  • A. They ensure workload separation for different tenants or departments.
  • B. They provide isolation for datasets and Al artifacts.
  • C. They enhance pipeline execution speeds through workload distribution.
  • D. They enable simultaneous orchestration of Kubernetes clusters.
Answer: A,B

NEW QUESTION # 21
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. Provide personalized user interactions
  • C. Interact with models through a conversational interface
  • D. Create and edit prompts
Answer: A,D
Explanation:
The Prompt Management feature within SAP AI Launchpad's Generative AI Hub offers users comprehensive tools for handling prompts throughout their lifecycle:
1. Create and Edit Prompts:
* Prompt Editor:Users can utilize the Prompt Editor to craft and modify prompts, facilitating effective prompt engineering and experimentation.
2. Access and Manage Saved Prompts and Their Versions:
* Prompt Lifecycle Management:The platform provides capabilities to manage the lifecycle of prompts, including accessing saved prompts, tracking their versions, and organizing them for efficient reuse and iteration.
Conclusion:
SAP AI Launchpad's Prompt Management feature empowers users to create, edit, and manage prompts effectively, supporting robust prompt engineering and lifecycle management within the Generative AI Hub.

NEW QUESTION # 22
What is the goal of prompt engineering?
  • A. To replace human decision-making with automated processes
  • B. To develop new neural network architectures for Al models
  • C. To optimize hardware performance for Al computations
  • D. To craft inputs that guide Al systems in generating desired outputs
Answer: D
Explanation:
Prompt engineering involves designing and refining inputs, known as prompts, to effectively guide AI systems, particularly Large Language Models (LLMs), in producing desired outputs.
1. Understanding Prompt Engineering:
* Definitionrompt engineering is the process of creating and optimizing prompts to elicit specific responses from AI models. It serves as a crucial interface between human intentions and machine- generated content.
* Purpose:The primary goal is to communicate the task requirements clearly to the AI model, ensuring that the generated output aligns with user expectations.
2. Importance in AI Systems:
* Guiding AI Behavior:Well-crafted prompts can direct AI models to perform a wide range of tasks, from answering questions to generating creative content, by setting the context and specifying the desired format of the output.
* Enhancing Output Quality:Effective prompt engineering can improve the relevance, coherence, and accuracy of AI-generated responses, making AI systems more useful and reliable in practical applications.
3. Application in SAP's Generative AI Hub:
* Prompt Management:SAP's Generative AI Hub provides tools for prompt management, allowing developers to create, edit, and manage prompts to interact with various AI models efficiently.
* Exploration and Development:The hub offers features like prompt editors and AI playgrounds, enabling users to experiment with different prompts and models to achieve optimal results for their specific use cases.

NEW QUESTION # 23
Why is generative Al gaining significant attention and investment in the current business landscape?
Note: There are 2 correct answers to this question.
  • A. It only requires natural language skills to use.
  • B. It can run entire business operations without human intervention.
  • C. It can replicate complex technical skills without training or quality control.
  • D. It lowers barriers to adoption.
Answer: A,D

NEW QUESTION # 24
......
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