100% PASS AUTHORITATIVE C-AIG-2412 - SAP CERTIFIED ASSOCIATE - SAP GENERATIVE AI DEVELOPER BEST PREPARATION MATERIALS

100% Pass Authoritative C-AIG-2412 - SAP Certified Associate - SAP Generative AI Developer Best Preparation Materials

100% Pass Authoritative C-AIG-2412 - SAP Certified Associate - SAP Generative AI Developer Best Preparation Materials

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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 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 2
  • 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 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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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q21-Q26):

NEW QUESTION # 21
What are some use cases for fine-tuning of a model?
Note: There are 2 correct answers to this question.

  • A. To customize outputs for specific types of inputs
  • B. To sanitize model outputs
  • C. To introduce new knowledge to a model in a resource-efficient way
  • D. To quickly create iterations on a new use case

Answer: A,C


NEW QUESTION # 22
What capabilities does the Exploration and Development feature of the generative Al hub provide? Note: There are 2 correct answers to this question.

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

Answer: A,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
    * 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.
  • C. 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

Answer: C


NEW QUESTION # 24
What are some characteristics of the SAP generative Al hub? Note: There are 2 correct answers to this question.

  • A. It only supports traditional machine learning models.
  • B. It operates independently of SAP's partners and ecosystem.
  • C. It ensures relevant, reliable, and responsible business Al.
  • D. It provides instant access to a wide range of large language models (LLMs).

Answer: C,D

Explanation:
The SAP Generative AI Hub is designed to integrate generative AI into business processes, offering several key features:
1. Ensuring Relevant, Reliable, and Responsible Business AI:
* Trusted AI Integration:The Generative AI Hub consolidates access to large language models (LLMs) and foundation models, grounding them in business and context data. This integration ensures that AI solutions are pertinent, dependable, and adhere to responsible AI practices.
2. Providing Instant Access to a Wide Range of Large Language Models (LLMs):
* Diverse Model Access:The hub offers immediate access to a broad spectrum of LLMs fromvarious providers, such as GPT-4 by Azure OpenAI and open-source models like Falcon-40b. This variety enables developers to select models that best fit their specific use cases.
3. Integration with SAP AI Core and AI Launchpad:
* Seamless Orchestration:The Generative AI Hub is part of SAP AI Core and AI Launchpad, facilitating the incorporation of generative AI into AI tasks. It streamlines innovation and ensures compliance, benefiting both SAP's internal needs and its broader ecosystem of partners and customers.


NEW QUESTION # 25
Which of the following are functionalities provided by the generative-Al-hub-SDK ? Note: There are 2 correct answers to this question.

  • A. Create chat responses and embeddings
  • B. Configure SAP BTP credentials
  • C. Interact with LLMs
  • D. Customize SAP AI Launchpad

Answer: A,C

Explanation:
The Generative AI Hub SDK offers functionalities that empower developers to:
1. Interact with Large Language Models (LLMs):
* Model Access:The SDK provides a developer-friendly way to consume foundational models available in the SAP Generative AI Hub, facilitating seamless interactions with these models.
2. Create Chat Responses and Embeddings:
* Natural Language Processing:With this SDK, developers can interact with models to create natural language completions, chat responses, and embeddings, enabling the development of sophisticated AI- driven applications.
Conclusion:
The Generative AI Hub SDK enables developers to interact with LLMs and create chat responses and embeddings, supporting the development of advanced AI functionalities within applications.


NEW QUESTION # 26
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