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[General] C-AIG-2412 Study Materials & C-AIG-2412 Premium VCE File & C-AIG-2412 Ex

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【General】 C-AIG-2412 Study Materials & C-AIG-2412 Premium VCE File & C-AIG-2412 Ex

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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
  • 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 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.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q58-Q63):NEW QUESTION # 58
What must be defined in an executable to train a machine learning model using SAP AI Core? Note:
There are 2 correct answers to this question.
  • A. User scripts to manually execute pipeline steps
  • B. Infrastructure resources such as CPUs or GPUs
  • C. Deployment templates for SAP AI Launchpad
  • D. Pipeline containers to be used
Answer: B,D

NEW QUESTION # 59
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. Create and edit prompts
  • D. Interact with models through a conversational interface
Answer: A,C
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 # 60
What is the primary function of the embedding model in a RAG system?
  • A. To encode queries and documents into vector representations for comparison
  • B. To generate responses based on retrieved documents and user queries
  • C. To evaluate the faithfulness and relevance of generated answers
  • D. To store vector representations of documents and search for relevant passages
Answer: A

NEW QUESTION # 61
What are some benefits of using an SDK for evaluating prompts within the context of generative Al? Note:
There are 3 correct answers to this question.
  • A. Providing metrics to quantitatively assess response quality
  • B. Automating prompt testing across various scenarios
  • C. Creating custom evaluators that meet specific business needs
  • D. Maintaining data privacy by using data masking techniques
  • E. Supporting low code evaluations using graphical user interface
Answer: A,B,C
Explanation:
Utilizing an SDK for evaluating prompts within the context of generative AI offers several benefits:
1. Creating Custom Evaluators That Meet Specific Business Needs:
* Tailored Evaluation Metrics:An SDK allows developers to design and implement custom evaluation metrics that align with specific business objectives, ensuring that prompt assessments are relevant and meaningful.
* Flexibility in Evaluation Criteriaevelopers can define criteria that reflect the unique requirements of their applications, leading to more accurate and business-aligned evaluations.
2. Automating Prompt Testing Across Various Scenarios:
* Scalability:An SDK enables the automation of prompt testing across multiple scenarios, facilitating large-scale evaluations without manual intervention.
* Consistency:Automated testing ensures consistent application of evaluation criteria, reducing the potential for human error and increasing reliability.
3. Providing Metrics to Quantitatively Assess Response Quality:
* Objective Assessment:The SDK can generate quantitative metrics, such as accuracy, relevance, and coherence scores, providing an objective basis for evaluating prompt performance.
* Performance Monitoring:These metrics enable continuous monitoring and improvement of prompt quality, ensuring that AI models deliver optimal results.

NEW QUESTION # 62
What are the benefits of SAP's generative Al hub? Note: There are 2 correct answers to this question.
  • A. Provide libraries for no-code development
  • B. Build custom Al solutions and extend SAP applications
  • C. Accelerate Al development with flexible access to a broad range of models
  • D. Send your data to various LLM providers for training feedback
Answer: B,C
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 Applicationsevelopers 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 # 63
......
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