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SAP C_AIG_2412 Exam Overview:
| Certification Vendor: | SAP |
|---|---|
| Exam Name: | SAP Certified Associate - SAP Generative AI Developer |
| Exam Number: | C_AIG_2412 |
| Exam Price: | Varies by region (typically around USD 200–400 or included in SAP Learning Hub subscription) |
| Passing Score: | 65% |
| Exam Duration: | 180 minutes |
| Exam Format: | Multiple Response, Multiple Choice |
| Certificate Validity Period: | 12 months |
| Available Languages: | English |
| Real Exam Qty: | Approximately 80 questions |
| Related Certifications: | SAP Certified Associate - SAP AI Core SAP Certified Associate - SAP BTP Developer SAP Certified Associate - SAP Cloud Application Development |
| Recommended Training: | SAP BTP and AI Core Training SAP Learning Hub - Generative AI Learning Journeys |
| Exam Registration: | SAP Certification Portal |
| Sample Questions: |  |
| Exam Way: | Online proctored exam via SAP Certification platform |
| Pre Condition: | Basic understanding of SAP BTP and general AI/ML concepts is recommended; prior development experience is helpful but not strictly required. |
| Official Syllabus URL: | https://learning.sap.com/certifications |
SAP C_AIG_2412 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Responsible AI and Governance | - Security and compliance considerations - Ethical AI principles |
| Generative AI Development | - Building AI-driven applications on SAP - Using APIs and AI services - Data preparation and grounding techniques |
| Generative AI Fundamentals | - Large Language Models (LLMs) concepts - Prompt engineering principles - AI use cases in enterprise environments |
| Monitoring and Optimization | - Operational monitoring in SAP environments - Model performance evaluation |
| SAP Business Technology Platform (BTP) for AI | - SAP AI Core and AI Launchpad overview - Model deployment and lifecycle management - Integration of AI services within SAP BTP |
C_AIG_2412 Exam Details and Your Advantages
SAP recommends the following official training options:
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According to the latest exam information, the C_AIG_2412 exam contains Approximately 80 questions questions within 180 minutes minutes. The testing engine reproduces that scope and calculates your final practice score — a useful reference for judging real-exam readiness.
At present, the C_AIG_2412 exam requires a passing score of 65%, with a registration fee of Varies by region (typically around USD 200–400 or included in SAP Learning Hub subscription). SAP sets both figures and may revise them, so confirm on the official site before you schedule.
The SAP Certified Associate - SAP Generative AI Developer blueprint covers these core domains:
- Generative AI Development
- SAP Business Technology Platform (BTP) for AI
- Responsible AI and Governance
Further domains complete the official outline; the question bank addresses all of them.
With data, not guesswork. The C_AIG_2412 testing engine is user-friendly and easy to install; upon completion of each practice test, it calculates your final score, giving you a concrete reference for the real exam. Behind the tools, professionals and IT specialists compose the materials, and every answer is expert-verified — aligned with the real exam's format across the SAP Certified Associate - SAP Generative AI Developer objectives. Before buying, try the free demo questions to test your knowledge; after buying, 24/7 Customer Service and Live Support assist with any problem, and you can ask the team for a discount code. That is the remarkable experience we work to provide.
SAP states the following prerequisites for the SAP Certified Associate - SAP Generative AI Developer: Basic understanding of SAP BTP and general AI/ML concepts is recommended; prior development experience is helpful but not strictly required..
Check the authoritative wording on the official certification page before booking.
SAP Certified Associate - SAP Generative AI Developer Sample Questions:
Which of the following capabilities does the generative Al hub provide to developers? Note: There are 2 correct answers to this question.
- A. Code generation to extend SAP BTP applications
- B. Tools for prompt engineering and experimentation
- C. Integration of foundation models into applications
- D. Proprietary LLMs exclusively
Correct Answer: B,C 🗳️
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What is a part of LLM context optimization?
- A. Providing the model with domain-specific knowledge needed to solve a problem
- B. Adjusting the model's output format and style
- C. Enhancing the computational speed of the model
- D. Reducing the model's size to improve efficiency
Correct Answer: A 🗳️
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Which of the following are features of the SAP AI Foundation? Note: There are 2 correct answers to this question.
- A. Ready-to-use Al services
- B. Al runtimes and lifecycle management
- C. Joule integration in SAP SuccessFactors
- D. Open source Al model repository
Correct Answer: A,B 🗳️
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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 only supports traditional machine learning models.
- C. It ensures relevant, reliable, and responsible business Al.
- D. It provides instant access to a wide range of large language models (LLMs).
Correct Answer: C,D 🗳️
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What are some functionalities provided by SAP Al Core? Note: There are 3 correct answers to this question.
- A. Orchestration of Al workflows such as model training and inference
- B. Monitoring and retraining models in SAP Al Core
- C. Continuous delivery and tenant isolation for scalability
- D. Integration of Al services with business applications using a standardized API
- E. Management of SAP S/4HANA cloud infrastructure
Correct Answer: A,C,D 🗳️
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