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C-AIG-2412 New Dumps Sheet & C-AIG-2412 Dumps Guide

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SAP C-AIG-2412 Exam Syllabus Topics:

Topic
Details

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'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.

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

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.

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SAP C-AIG-2412 Questions - Pass Exam With Ease (2025)

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q42-Q47):

NEW QUESTION # 42
Which of the following statements accurately describe the RAG process?
Note: There are 2 correct answers to this question.

A. The user's question is used to search a knowledge base or a set of documents.
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 embedding model stores the generated answers for future reference.

Answer: A,B

NEW QUESTION # 43
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 store embeddings of unstructured data for semantic data retrieval
C. To serve as an abstraction layer to access a range of foundation Al models
D. To manage the Al lifecycle efforts end-to-end

Answer: C

NEW QUESTION # 44
What is a Large Language Model (LLM)?

A. An Al model that specializes in processing, understanding, and generating human language.
B. A database system optimized for storing large volumes of textual data.
C. A gradient boosted decision tree algorithm for predicting text.
D. A rule-based expert system to analyze and generate grammatically correct sentences.

Answer: A

Explanation:
A Large Language Model (LLM) is an advanced AI model designed to handle various natural language processing tasks.
1. Definition and Purpose:
* Processing:LLMs analyze human language to understand syntax, semantics, and context.
* Understanding:They interpret the meaning behind text, enabling comprehension of nuanced language elements.
* Generating:LLMs can produce coherent and contextually appropriate text, facilitating tasks like content creation and translation.
2. Characteristics of LLMs:
* Scale:These models are trained on vast datasets, encompassing billions of words, which enhances their language capabilities.
* Architecture:LLMs typically utilize complex neural network architectures, such as transformers, to manage and process language data effectively.
3. Applications:
* Content Generation:Creating articles, summaries, and reports.
* Language Translation:Converting text from one language to another with high accuracy.
* Conversational Agents:Powering chatbots and virtual assistants to interact with users naturally.

NEW QUESTION # 45
What are some components of the training pipeline in SAP AI Core? Note: There are 2 correct answers to this question.

A. Automated deployment to Kubernetes clusters
B. Input datasets stored in a hyperscaler object store
C. Executables that define the training process
D. The SAP HANA database for model storage

Answer: B,C

Explanation:
The training pipeline in SAP AI Core comprises several key components that facilitate the development and deployment of machine learning models.
1. Input Datasets Stored in a Hyperscaler Object Store:
* Data Storage:Input datasets are often stored in hyperscaler object stores, which provide scalable and secure storage solutions. These datasets serve as the foundational data for training machine learning models.
* Integration:SAP AI Core integrates with various hyperscaler object stores, allowing seamless access to training data during the model development process.

NEW QUESTION # 46
You want to download a json output for a prompt and the response.
Which of the following interfaces can you use in SAP's generative Al hub in SAP AI Launchpad?

A. Prompt management
B. Prompt Editor
C. Chat
D. Administration

Answer: A

NEW QUESTION # 47
......

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