Exam Name: SAP Certified Associate - SAP Generative AI Developer
Certification Provider: SAP
Corresponding Certification: SAP Certified Associate
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Updated: Oct 09, 2026
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- Total Questions: 66
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- Total Questions: 66
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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 |
| Real Exam Qty: | Approximately 80 questions |
| Exam Price: | Varies by region (typically around USD 200–400 or included in SAP Learning Hub subscription) |
| Related Certifications: | SAP Certified Associate - SAP BTP Developer SAP Certified Associate - SAP AI Core SAP Certified Associate - SAP Cloud Application Development |
| Certificate Validity Period: | 12 months |
| Available Languages: | English |
| Exam Duration: | 180 minutes |
| Exam Format: | Multiple Response, Multiple Choice |
| Passing Score: | 65% |
| Recommended Training: | SAP BTP and AI Core Training SAP Learning Hub - Generative AI Learning Journeys |
| Exam Registration: | SAP Certification Portal |
| Sample Questions: | DOWNLOAD DEMO |
| 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 |
|---|---|
| Topic 1: Generative AI Development | - Building AI-driven applications on SAP - Using APIs and AI services - Data preparation and grounding techniques |
| Topic 2: Monitoring and Optimization | - Operational monitoring in SAP environments - Model performance evaluation |
| Topic 3: 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 |
| Topic 4: Generative AI Fundamentals | - Prompt engineering principles - Large Language Models (LLMs) concepts - AI use cases in enterprise environments |
| Topic 5: Responsible AI and Governance | - Ethical AI principles - Security and compliance considerations |
C_AIG_2412 Exam FAQ — Experts, Service, Free Trial
SAP recommends these training resources for the SAP Certified Associate - SAP Generative AI Developer exam:
Follow the training with steady self-testing — the 66 practice questions from TestKingIT help you apply theory and fill any gaps the training leaves.
The C_AIG_2412 exam is a SAP certification exam validating the SAP Certified Associate - SAP Generative AI Developer syllabus shown above. It belongs to these credential paths: SAP Certified Associate - SAP BTP Developer, SAP Certified Associate - SAP AI Core, SAP Certified Associate - SAP Cloud Application Development. Candidates in 2026 start with TestKingIT's 66 practice questions, available as a printable PDF, a Windows Desktop Test Engine, and an Online Test Engine — three versions of the same materials.
TestKingIT issues a full refund if you take the SAP Certified Associate - SAP Generative AI Developer exam within 60 days of purchase and do not pass. The policy does not apply if the exam is taken within 3 days of purchase, if the exam was never actually taken, or to free materials or expired orders, and the candidate name must match the payer name. Submit a scan of your enrollment slip and the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Alternatively, exchange for two free exam products of equal value and keep your original update service. Orders arrive by email within 1 minute — contact support if nothing arrives within 2 hours.
The official SAP Certified Associate - SAP Generative AI Developer outline defines 5 domains. The leading three are Generative AI Fundamentals, Responsible AI and Governance, and SAP Business Technology Platform (BTP) for AI. The full list is in the topics section above, and TestKingIT's 66 practice questions cover each one.
The SAP Certified Associate - SAP Generative AI Developer exam contains Approximately 80 questions to complete within 180 minutes. Timed simulation in the TestKingIT Desktop Test Engine teaches that rhythm before exam day does.
Basic understanding of SAP BTP and general AI/ML concepts is recommended; prior development experience is helpful but not strictly required. Since requirements change over time, confirm the latest on the official SAP exam page before scheduling.
Three versions of the same study materials: a printable, expert-prepared PDF with free demo download and instant access; a Desktop Test Engine for Windows with customizable simulation and timed modes that works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. All 66 practice questions are identical across versions. Every purchase includes 365 days of free updates, a 50% renewal discount afterward, and unlimited computer installations.
The SAP Certified Associate - SAP Generative AI Developer exam requires 65% to pass, and registration costs Varies by region (typically around USD 200–400 or included in SAP Learning Hub subscription). A failed attempt means paying the same fee again — a readiness check with the TestKingIT engines before booking is the cheaper option.
Online proctored exam via SAP Certification platform Register for the SAP Certified Associate - SAP Generative AI Developer exam through these official channels:
After booking, TestKingIT delivers your practice questions within 1 minute — preparation starts the same day.
SAP Certified Associate - SAP Generative AI Developer Sample Questions:
What are some components of the training pipeline in SAP AI Core? Note: There are 2 correct answers to this question.
- A. Executables that define the training process
- B. Input datasets stored in a hyperscaler object store
- C. Automated deployment to Kubernetes clusters
- D. The SAP HANA database for model storage
Correct Answer: A,B 🗳️
Explanation: Only visible for TestKingIT members. You can sign-up / login (it's free).
What are some examples of generative Al technologies? Note: There are 2 correct answers to this question.
- A. Al models that generate new content based on training data
- B. Rule-based algorithms
- C. Foundation models
- D. Robotic process automation
Correct Answer: A,C 🗳️
Explanation: Only visible for TestKingIT members. You can sign-up / login (it's free).
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. Proprietary LLMs exclusively
- C. Integration of foundation models into applications
- D. Tools for prompt engineering and experimentation
Correct Answer: C,D 🗳️
Explanation: Only visible for TestKingIT members. You can sign-up / login (it's free).
What are the applications of generative Al that go beyond traditional chatbot applications? Note: There are 2 correct answers to this question.
- A. To interpret human instructions and control software systems without necessarily producing output for human consumption.
- B. To produce outputs based on software input.
- C. To interpret human instructions and control software systems always producing output for human consumption.
- D. To follow a specific schema - human input, Al processing, and output for human consumption.
Correct Answer: A,C 🗳️
Explanation: Only visible for TestKingIT members. You can sign-up / login (it's free).
What is a Large Language Model (LLM)?
- A. A rule-based expert system to analyze and generate grammatically correct sentences.
- B. A gradient boosted decision tree algorithm for predicting text.
- C. A database system optimized for storing large volumes of textual data.
- D. An Al model that specializes in processing, understanding, and generating human language.
Correct Answer: D 🗳️
Explanation: Only visible for TestKingIT members. You can sign-up / login (it's free).
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