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SAP C-AIG-2412 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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.
Topic 4	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.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q15-Q20):

NEW QUESTION # 15
Which of the following are grounding principles included in SAP's AI Ethics framework? Note: There are 3 correct answers to this question.

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

Answer: A,B,E

NEW QUESTION # 16
Why would a user include formatting instructions within a prompt?

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

Answer: C

NEW QUESTION # 17
What are some drivers for the rapid adoption of generative AI? Note: There are 2 correct answers to this question.

A. Wide availability
B. Availability of skilled developers
C. Significant hardware cost savings
D. Ease of use

Answer: A,D

Explanation:
The rapid adoption of generative AI is driven by several key factors:
1. Wide Availability:
* Access to Generative AI Tools:The proliferation of generative AI tools and platforms has made the technology widely accessible to businesses and individuals. This widespread availability facilitates experimentation and integration into various applications.
2. Ease of Use:
* User-Friendly Interfaces:Modern generative AI tools often feature intuitive interfaces that require minimal technical expertise, enabling a broader range of users to leverage AI capabilities without deep technical knowledge.

NEW QUESTION # 18
How do resource groups in SAP AI Core improve the management of machine learning workloads? Note: There are 2 correct answers to this question.

A. They provide isolation for datasets and Al artifacts.
B. They enable simultaneous orchestration of Kubernetes clusters.
C. They ensure workload separation for different tenants or departments.
D. They enhance pipeline execution speeds through workload distribution.

Answer: A,C

NEW QUESTION # 19
What are some benefits of the SAP AI Launchpad? Note: There are 2 correct answers to this question.

A. Simplified model retraining and performance improvement.
B. Direct deployment of Al models to SAP HAN
C. Integration with non-SAP platforms like Azure and AWS.
D. Centralized Al lifecycle management for all Al scenarios.

Answer: A,D

NEW QUESTION # 20
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Reliable C-AIG-2412 Exam Labs - Realistic Valid SAP Certified Associate - SAP Generative AI Developer Test Pattern Pass Guaranteed Quiz

Pass Guaranteed Quiz 2025 SAP C-AIG-2412: SAP Certified Associate - SAP Generative AI Developer Pass-Sure Reliable Exam Labs

SAP C-AIG-2412 Exam Syllabus Topics:

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q15-Q20):

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