RELIABLE C_AIG_2412 TEST TOPICS, FREE C_AIG_2412 EXAM

Reliable C_AIG_2412 Test Topics, Free C_AIG_2412 Exam

Reliable C_AIG_2412 Test Topics, Free C_AIG_2412 Exam

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Tags: Reliable C_AIG_2412 Test Topics, Free C_AIG_2412 Exam, C_AIG_2412 Real Exam Answers, Exam C_AIG_2412 Reference, C_AIG_2412 Answers Real Questions

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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
  • 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.
Topic 3
  • 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 4
  • 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.

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Free C_AIG_2412 Exam - C_AIG_2412 Real Exam Answers

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q45-Q50):

NEW QUESTION # 45
What capabilities does the Exploration and Development feature of the generative Al hub provide? Note:
There are 2 correct answers to this question.

  • A. Al playground and chat
  • B. Prompt editor and management
  • C. Automatic model selection
  • D. Develop and debug ABAP code

Answer: A,B

Explanation:
The Exploration and Development feature of SAP's Generative AI Hub provides several capabilities to facilitate AI solution development:
1. AI Playground and Chat:
* Interactive Environment:The AI playground offers an interactive space for developers to experiment with various AI models, test prompts, and observe outputs in real-time.
* Conversational Interface:The chat functionality enables users to engage in dialogue with AI models, refining prompts and understanding model behavior through iterative interactions.
2. Prompt Editor and Management:
* Prompt Creation:The prompt editor allows developers to craft and modify prompts tailored to specific business needs, enhancing the precision of AI responses.
* Prompt Organization:Prompt management tools facilitate the organization, versioning, and storage of prompts, ensuring efficient retrieval and reuse in various projects.


NEW QUESTION # 46
What are the benefits of SAP's generative Al hub? Note: There are 2 correct answers to this question.

  • A. Build custom Al solutions and extend SAP applications
  • B. Provide libraries for no-code development
  • 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: A,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 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 # 47
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 manage the Al lifecycle efforts end-to-end
  • D. To store embeddings of unstructured data for semantic data retrieval

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 Orchestration:Developers 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 # 48
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. Infrastructure resources such as CPUs or GPUs
  • B. Deployment templates for SAP AI Launchpad
  • C. User scripts to manually execute pipeline steps
  • D. Pipeline containers to be used

Answer: A,D

Explanation:
When training a machine learning model using SAP AI Core, defining an executable requires specifying certain key components to ensure the training process is efficient and effective.
1. Pipeline Containers to Be Used:
* Definition:Pipeline containers encapsulate the environments and dependencies necessary for each step of the machine learning workflow, including data preprocessing, model training, and evaluation.
* Specification in Executable:Within the executable, it's essential to define which pipeline containers will be utilized to ensure that each stage of the training process has the appropriate tools and libraries.


NEW QUESTION # 49
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 # 50
......

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