PASS GUARANTEED QUIZ 2025 C-AIG-2412: SAP CERTIFIED ASSOCIATE - SAP GENERATIVE AI DEVELOPER–TRUSTABLE LEAD2PASS REVIEW

Pass Guaranteed Quiz 2025 C-AIG-2412: SAP Certified Associate - SAP Generative AI Developer–Trustable Lead2pass Review

Pass Guaranteed Quiz 2025 C-AIG-2412: SAP Certified Associate - SAP Generative AI Developer–Trustable Lead2pass Review

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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 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 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
  • 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 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 (Q46-Q51):

NEW QUESTION # 46
What are some examples of generative Al technologies? Note: There are 2 correct answers to this question.

  • A. Foundation models
  • B. Robotic process automation
  • C. Rule-based algorithms
  • D. Al models that generate new content based on training data

Answer: A,D


NEW QUESTION # 47
Which of the following statements accurately describe the RAG process?
Note: There are 2 correct answers to this question.

  • A. The embedding model stores the generated answers for future reference.
  • B. The retrieved content is combined with the LLM's capabilities to generate a response.
  • C. The LLM directly answers the user's question without accessing external information.
  • D. The user's question is used to search a knowledge base or a set of documents.

Answer: B,D


NEW QUESTION # 48
What are some benefits of SAP Business Al? Note: There are 3 correct answers to this question.

  • A. Intelligent business document processing
  • B. Automatic human emotion recognition
  • C. Personalized recommendations based on Al algorithms
  • D. Face detection and face recognition
  • E. Al-powered forecasting and predictions

Answer: A,C,E


NEW QUESTION # 49
Where can you configure language models in generative Al hub?

  • A. The Configuration tab of the SAP BTP cockpit
  • B. The Models tab in Prompt Editor
  • C. The Orchestration tab in SAP AI Launchpad
  • D. The Configuration tab within ML Operations in SAP AI Launchpad

Answer: D

Explanation:
In SAP's Generative AI Hub, configuring language models is a crucial step for integrating AI capabilities into applications.
1. Accessing the Configuration Interface:
* ML Operations Section:Within SAP AI Launchpad, navigate to theML Operationssection to manage machine learning models and operations.
* Configuration Tab:In theConfigurationtab, you can set up and manage various aspects of language models, including selecting model providers, specifying model versions, and configuring deployment settings.
2. Steps to Configure Language Models:
* Model Selection:Choose the desired language model from the available options, such as GPT-4 or other large language models (LLMs) provided through the Generative AI Hub.
* Parameter Configuration:Set parameters like model version, input constraints, and performance settings to tailor the model's behavior to your application's requirements.
* Deployment Setup:Configure deployment details to ensure the model is accessible andintegrated appropriately within your application's infrastructure.


NEW QUESTION # 50
What are some characteristics of the SAP generative Al hub? Note: There are 2 correct answers to this question.

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

Answer: B,D


NEW QUESTION # 51
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