SAP C_AIG_2412 Exam Dumps

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Number Of Questions: 60

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Exam Name:

SAP Certified Associate - SAP Generative AI Developer

Exam Code:

C_AIG_2412

Total Questions in Exam:

Demo Questions

Q1. Which of the following is a benefit of using Retrieval Augmented Generation?

A.It allows LLMs to access and utilize information beyond their initial training data.

B. It enables LLMs to learn new languages without additional training.

C. It eliminates the need for fine-tuning LLMs for specific tasks.

D. It reduces the computational resources required for language modeling.

Answer

Correct Answer: A

Q2. What are the benefits of SAP's generative Al hub? Note: There are 2 correct answers to this question.

A.Accelerate Al development with flexible access to a broad range of models

B. Provide libraries for no-code development

C. Build custom Al solutions and extend SAP applications

D. Send your data to various LLM providers for training feedback

Answer

Correct Answer: A, C

Q3. What is the primary function of the generative Al hub in SAP's Al Foundation?

A.To serve as an abstraction layer to access a range of foundation Al models

B. To provide ready-to-use Al services for document processing

C. To store embeddings of unstructured data for semantic data retrieval

D. To store embeddings of unstructured data for semantic data retrieval

Answer

Correct Answer: A

Q4. How can few-shot learning enhance LLM performance?

A.By enhancing the model's computational efficiency

B. By providing a large training set to improve generalization

C. By reducing overfitting through regularization techniques

D. By offering input-output pairs that exemplify the desired behavior

Answer

Correct Answer: D

Q5. What are some characteristics of the SAP generative Al hub? Note: There are 2 correct answers to this question.

A.It operates independently of SAP's partners and ecosystem.

B. It ensures relevant, reliable, and responsible business Al.

C. It only supports traditional machine learning models.

D. It provides instant access to a wide range of large language models (LLMs).

Answer

Correct Answer: B, D

Answer

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SAP C_AIG_2412 Exam Dumps

Certification Exams

Downloadable PDF versions

100% Confidential

Updated Regularly

Advanced Features

Number Of Questions: 60

Exam Details

Demo Questions

Q1. Which of the following is a benefit of using Retrieval Augmented Generation?

A.It allows LLMs to access and utilize information beyond their initial training data.

B. It enables LLMs to learn new languages without additional training.

C. It eliminates the need for fine-tuning LLMs for specific tasks.

D. It reduces the computational resources required for language modeling.

Q2. What are the benefits of SAP's generative Al hub? Note: There are 2 correct answers to this question.

A.Accelerate Al development with flexible access to a broad range of models

B. Provide libraries for no-code development

C. Build custom Al solutions and extend SAP applications

D. Send your data to various LLM providers for training feedback

Q3. What is the primary function of the generative Al hub in SAP's Al Foundation?

A.To serve as an abstraction layer to access a range of foundation Al models

B. To provide ready-to-use Al services for document processing

C. To store embeddings of unstructured data for semantic data retrieval

D. To store embeddings of unstructured data for semantic data retrieval

Q4. How can few-shot learning enhance LLM performance?

A.By enhancing the model's computational efficiency

B. By providing a large training set to improve generalization

C. By reducing overfitting through regularization techniques

D. By offering input-output pairs that exemplify the desired behavior

Q5. What are some characteristics of the SAP generative Al hub? Note: There are 2 correct answers to this question.

A.It operates independently of SAP's partners and ecosystem.

B. It ensures relevant, reliable, and responsible business Al.

C. It only supports traditional machine learning models.

D. It provides instant access to a wide range of large language models (LLMs).

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