Free Practice SAP C_AIG_2412 Exam Questions 2025

Stay ahead with 100% Free SAP Certified Associate - SAP Generative AI Developer C_AIG_2412 Dumps Practice Questions

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Total 60 Questions | Updated On: Mar 25, 2025

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Question 1

What is Machine Learning (ML)?

A : A subset of Al that focuses on enabling computer systems to learn and improve from experience or data.

B : A statistical method for data processing that does not involve any Al techniques.

C : A form of Al that only focuses on creating new content, including text, images, sound, and videos.

D : A technology that equips machines with human-like capabilities such as problem-solving, visual perception, and decision-making.

Answer: B,C,D

Question 2

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 deployed in SAP HANA.

B : The model's accuracy can be optimized directly in SAP HANA.

C : The model can be deployed for inferencing.

D : The model can be registered in the hyperscaler object store.

Answer: C,D

Question 3

What is the primary function of the embedding model in a RAG system?

A : To generate responses based on retrieved documents and user queries

B : To encode queries and documents into vector representations for comparison

C : To evaluate the faithfulness and relevance of generated Answers

D : To store vector representations of documents and search for relevant passages

Answer: B

Question 4

What is the primary function of the embedding model in a RAG system?

A : To generate responses based on retrieved documents and user queries

B : To encode queries and documents into vector representations for comparison

C : To evaluate the faithfulness and relevance of generated Answers

D : To store vector representations of documents and search for relevant passages

Answer: B

Question 5

What is the primary function of the embedding model in a RAG system?

A : To generate responses based on retrieved documents and user queries

B : To encode queries and documents into vector representations for comparison

C : To evaluate the faithfulness and relevance of generated Answers

D : To store vector representations of documents and search for relevant passages

Answer: B

Page: 1 / 12

Total 60 Questions | Updated On: Mar 25, 2025

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