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SAP C-AIG-2412 Exam Syllabus Topics:

Topic
Details

Topic 1

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 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

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.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q34-Q39):

NEW QUESTION # 34
Which of the following steps is NOT a requirement to use the Orchestration service?

A. Get an auth token for orchestration
B. Create a deployment for orchestration
C. Modify the underlying Al models
D. Create an instance of an Al model

Answer: C

Explanation:
To utilize the Orchestration service in SAP's Generative AI Hub, several steps are required; however, modifying the underlying AI models is not among them:
1. Required Steps:
* Get an Auth Token for Orchestration:Obtain authentication credentials to access the orchestration service.
* Create an Instance of an AI Model:Set up an instance of the desired AI model to be used within the orchestration pipeline.
* Create a Deployment for Orchestration:Deploy the configured AI model instance to the orchestration service, enabling it for processing requests.
2. Not Required:
* Modify the Underlying AI Models:The orchestration service allows users to utilize pre-existing AI models without the need to alter their foundational architecture or training.

NEW QUESTION # 35
How does SAP ensure the enterprise-readiness of its Al solutions?

A. By using generic Al models without business context complying with Al ethics standards
B. By implementing rigorous product standards for Al capabilities
C. By ensuring that Al models make bias-free decisions without human input

Answer: B

NEW QUESTION # 36
What contract type does SAP offer for Al ecosystem partner solutions?

A. Annual subscription-only contracts
B. All-in-one contracts, with services that are contracted through SAP
C. Pay-as-you-go for each partner service
D. Bring Your Own License (BYOL) for embedded partner solutions

Answer: A,B,C

NEW QUESTION # 37
Which neural network architecture is primarily used by LLMs?

A. Convolutional Neural Networks (CNNs)
B. Sequential encoder-decoder architecture
C. Transformer architecture with self-attention mechanisms
D. Recurrent neural network architecture

Answer: C

NEW QUESTION # 38
What are the benefits of SAP's generative Al hub?
Note: There are 2 correct answers to this question.

A. Build custom Al solutions and extend SAP applications
B. Provide libraries for no-code development
C. Accelerate Al development with flexible access to a broad range of models
D. Send your data to various LLM providers for training feedback

Answer: A,C

NEW QUESTION # 39
......

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