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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: | 60 |
| Available Languages: | English |
| Exam Price: | $554 USD |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 12 months |
| Exam Format: | Multiple choice, Multiple answer, Single answer |
| Passing Score: | 65% |
| Recommended Training: | Building Applications with SAP Generative AI Hub Introduction to Generative AI in SAP Ecosystem SAP AI Core and AI Launchpad Fundamentals |
| Exam Registration: | SAP Learning Hub SAP Certification Shop |
| Sample Questions: | ![]() |
| Exam Way: | Online proctored / Onsite at test center |
| Pre Condition: | Basic knowledge of SAP Business Technology Platform (BTP); Familiarity with cloud application development; Understanding of AI/ML concepts; Programming skills (Java, Python, Node.js recommended); Experience with APIs and integration |
| Official Syllabus URL: | https://learning.sap.com/certification/c_aig_2412-sap-certified-associate-sap-generative-ai-developer |
SAP C_AIG_2412 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: SAP's Generative AI Hub | 31% - 40% | - Building applications with generative AI services - Core concepts and capabilities - Prompt engineering and application use cases - Integration with SAP BTP |
| Topic 2: SAP AI Core | 21% - 30% | - Model deployment and management - Integration with SAP AI Launchpad - Architecture and core components - Monitoring and operations |
| Topic 3: Large Language Models (LLMs) | 21% - 30% | - Responsible AI principles and implementation - Types and characteristics of LLMs - Use cases and application scenarios - Fundamentals of LLMs |
| Topic 4: SAP Business AI | 11% - 20% | - AI services and automation capabilities - Business value and implementation examples - Embedding AI into business processes - Overview of SAP Business AI portfolio |
SAP Certified Associate - SAP Generative AI Developer Materials That Go Where You Go
- SAP AI Core (21% - 30%)
- SAP Business AI (11% - 20%)
- SAP's Generative AI Hub (31% - 40%)
SAP Certified Associate - SAP Generative AI Developer Sample Questions:
Which of the following executables in generative Al hub works with Anthropic models?
- A. Azure OpenAl Service
- B. GCP Vertex Al
- C. AWS Bedrock
- D. SAP AI Core
Correct Answer: C 🗳️
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Which neural network architecture is primarily used by LLMs?
- A. Convolutional Neural Networks (CNNs)
- B. Sequential encoder-decoder architecture
- C. Recurrent neural network architecture
- D. Transformer architecture with self-attention mechanisms
Correct Answer: D 🗳️
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What is one primary benefit of using LLMs in business applications?
- A. They enhance automation and scalability of processes
- B. They require no maintenance or updates once implemented
- C. They replace the need for human decision-making entirely
- D. They eliminate all data privacy concerns in business operations
Correct Answer: A 🗳️
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What must be defined in an executable to train a machine learning model using SAP AI Core? Note: There are 2 correct answers to this question.
- A. Pipeline containers to be used
- B. User scripts to manually execute pipeline steps
- C. Deployment templates for SAP AI Launchpad
- D. Infrastructure resources such as CPUs or GPUs
Correct Answer: A,D 🗳️
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How does SAP deal with vulnerability risks created by generative Al? Note: There are 2 correct answers to this question.
- A. By identifying human, technical, and exfiltration risks through an Al Security Taskforce.
- B. By implementing responsible Al use guidelines and strong product security standards.
- C. By focusing on technological advancement only.
- D. By relying on external vendors to manage security threats.
Correct Answer: A,B 🗳️
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