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[Hardware] Training C-AIG-2412 Kit & C-AIG-2412 Free Study Material

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【Hardware】 Training C-AIG-2412 Kit & C-AIG-2412 Free Study Material

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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
  • 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
  • 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 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 (Q29-Q34):NEW QUESTION # 29
Which of the following steps is NOT a requirement to use the Orchestration service?
  • A. Create an instance of an Al model
  • B. Modify the underlying Al models
  • C. Create a deployment for orchestration
  • D. Get an auth token for orchestration
Answer: B

NEW QUESTION # 30
What is the primary function of the generative Al hub in SAP's Al Foundation?
  • A. To provide ready-to-use Al services for document processing
  • B. To serve as an abstraction layer to access a range of foundation Al models
  • C. To store embeddings of unstructured data for semantic data retrieval
  • D. To manage the Al lifecycle efforts end-to-end
Answer: B
Explanation:
SAP's Generative AI Hub, a component of the SAP AI Foundation, provides a unified platform for accessing various foundation AI models.
1. Abstraction Layer Functionality:
* Unified Access:The Generative AI Hub acts as an abstraction layer, offering developers seamless access to a diverse range of large language models (LLMs) from multiple providers, such as GPT-4 by Azure OpenAI and open-source models like Falcon-40b.
* Simplified Integration:By providing a standardized interface, the hub simplifies the integration of these models into applications, reducing complexity and development time.
2. Supporting AI Development:
* Toolset Availability:The hub offers a comprehensive toolset for building custom AI solutions, including prompt engineering tools, SDKs, and fine-tuning services, facilitating efficient AI development.
* Model Orchestrationevelopers can orchestrate multiple models, enabling the selection of the most suitable model for specific use cases, thereby enhancing the accuracy and relevance of AI applications.

NEW QUESTION # 31
What are some examples of generative Al technologies?
Note: There are 2 correct answers to this question.
  • A. Rule-based algorithms
  • B. Al models that generate new content based on training data
  • C. Robotic process automation
  • D. Foundation models
Answer: B,D

NEW QUESTION # 32
What are some components of the training pipeline in SAP AI Core?
Note: There are 2 correct answers to this question.
  • A. Input datasets stored in a hyperscaler object store
  • B. The SAP HANA database for model storage
  • C. Automated deployment to Kubernetes clusters
  • D. Executables that define the training process
Answer: A,D

NEW QUESTION # 33
Which of the following is a principle of effective prompt engineering?
  • A. Keep prompts as short as possible to avoid confusion.
  • B. Combine multiple complex tasks into a single prompt.
  • C. Write vague and open-ended instructions to encourage creativity.
  • D. Use precise language and providing detailed context in prompts.
Answer: D

NEW QUESTION # 34
......
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