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SAP C-AIG-2412 Exam Syllabus Topics:

Topic	Details
Topic 1	SAP's Generative AI Hub: This section of the exam measures the skills of technology strategists and covers the functionalities provided by SAP's Generative AI Hub. It emphasizes how organizations can use generative AI to create new content and automate complex tasks. A vital skill evaluated is applying generative AI techniques to enhance business processes and customer experiences.
Topic 2	Large Language Models (LLMs): This section of the exam measures the skills of AI Developers and covers the evolution of large language models, distinguishing them from traditional IT operations analytics. It also explores the current stages of AIOps systems and their implications for organizations. A key skill assessed is understanding the foundational concepts behind LLMs and their applications in various contexts.
Topic 3	SAP Business AI: This section of the exam measures the skills of business analysts and covers the features and capabilities of SAP Business AI. It includes exploring how AI can automate processes, provide real-time insights, and enhance decision-making across various business functions.
Topic 4	SAP AI Core: This section of the exam measures the skills of SAP developers and covers the core components of SAP's AI framework. It emphasizes how these components integrate with existing systems to enhance functionality and performance. Leveraging SAP AI Core to develop intelligent applications that meet business needs is a critical skill that needs to be evaluated.

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SAP C-AIG-2412 Exam Questions - Choice Of Certified Professionals [2025]

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q22-Q27):

NEW QUESTION # 22
What can be done once the training of a machine learning model has been completed in SAP AI Core? Note: There are 2 correct answers to this question.

A. The model can be registered in the hyperscaler object store.
B. The model can be deployed for inferencing.
C. The model's accuracy can be optimized directly in SAP HANA.
D. The model can be deployed in SAP HANA.

Answer: A,B

NEW QUESTION # 23
What are some components of the training pipeline in SAP AI Core? Note: There are 2 correct answers to this question.

A. Automated deployment to Kubernetes clusters
B. The SAP HANA database for model storage
C. Input datasets stored in a hyperscaler object store
D. Executables that define the training process

Answer: C,D

NEW QUESTION # 24
Which of the following executables in generative Al hub works with Anthropic models?

A. AWS Bedrock
B. GCP Vertex Al
C. Azure OpenAl Service
D. SAP AI Core

Answer: A

Explanation:
In SAP's Generative AI Hub, the integration with Anthropic models is facilitated through specific executables:
1. AWS Bedrock:
* Integration with Anthropic Models:AWS Bedrock provides access to Anthropic's Claude models, enabling developers to utilize these models within their applications.
* Execution via Generative AI Hub:Through the Generative AI Hub, developers can select AWS Bedrock as the executable to work with Anthropic models, integrating them into their AI solutions.
Conclusion:
To work with Anthropic models within SAP's Generative AI Hub, developers should utilize the AWS Bedrock executable, which provides access to these models for integration into their applications.

NEW QUESTION # 25
Match the components of a Retrieval Augmented Generation architecture to the diagram.

Answer:

Explanation:

NEW QUESTION # 26
Match the components of a Retrieval Augmented Generation architecture to the diagram.

Answer:

Explanation:

Explanation:
A screenshot of a computer Description automatically generated

NEW QUESTION # 27
......

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PDF C-AIG-2412 Cram Exam, C-AIG-2412 Simulation Questions

SAP C-AIG-2412 Exam Syllabus Topics:

SAP C-AIG-2412 Exam Questions - Choice Of Certified Professionals [2025]

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q22-Q27):

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