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SAP C-AIG-2412 Exam Dumps - Right Preparation Method [2026]

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SAP C-AIG-2412 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 3

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 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 (Q10-Q15):

NEW QUESTION # 10
What is Machine Learning (ML)?

A. A form of Al that only focuses on creating new content, including text, images, sound, and videos.
B. A technology that equips machines with human-like capabilities such as problem-solving, visual perception, and decision-making.
C. A statistical method for data processing that does not involve any Al techniques.
D. A subset of Al that focuses on enabling computer systems to learn and improve from experience or data.

Answer: D

Explanation:
Machine Learning (ML) is a branch of Artificial Intelligence (AI) that empowers computer systems to learn from data and experiences, enhancing their performance over time without explicit programming for each task.
1. Definition and Core Concept:
* Learning from Data:ML algorithms process and analyze large datasets to identify patterns and make informed decisions or predictions based on new, unseen data.
* Improvement Over Time:Through iterative processes, ML models refine their accuracy and efficiency as they are exposed to more data, leading to continuous performance enhancement.
2. Types of Machine Learning:
* Supervised Learning:Models are trained on labeled datasets, where the desired output is known, to make predictions or classifications.
* Unsupervised Learning:Models work with unlabeled data to identify inherent structures or patterns without predefined outcomes.
* Reinforcement Learning:Systems learn by interacting with an environment, receiving feedback in the form of rewards or penalties, and adjusting actions accordingly.
3. Applications in SAP's AI Solutions:
* SAP AI Core and AI Launchpad:SAP provides a unified framework for managing and deploying ML models, facilitating seamless integration into business processes.
* Generative AI Hub:This platform offers access to a variety of large language models (LLMs) and supports the orchestration of AI tasks, enabling the development of AI-driven applications.

NEW QUESTION # 11
What does the Prompt Management feature of the SAP AI launchpad allow users to do?

A. Provide personalized user interactions
B. Access and manage saved prompts and their versions
C. Interact with models through a conversational interface
D. Create and edit prompts

Answer: B,D

NEW QUESTION # 12
Which of the following are grounding principles included in SAP's AI Ethics framework? Note: There are 3 correct answers to this question.

A. Human agency and oversight
B. Store all user data for legal proceedings
C. Transparency and explainability
D. Maximize business profits
E. Avoid bias and discrimination

Answer: A,C,E

NEW QUESTION # 13
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. Executables that define the training process
C. Input datasets stored in a hyperscaler object store
D. The SAP HANA database for model storage

Answer: B,C

NEW QUESTION # 14
Why would a user include formatting instructions within a prompt?

A. To force the model to separate relevant and irrelevant output
B. To redirect the output to another software program
C. To ensure the model's response follows a desired structure or style
D. To increase the faithfulness of the output

Answer: C

NEW QUESTION # 15
......

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