Question 1

What is a part of LLM context optimization?

Options :

A : Reducing the model-s size to improve efficiency

B : Adjusting the model-s output format and style

C : Enhancing the computational speed of the model

D : Providing the model with domain-specific knowledge needed to solve a problem

Answer: 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.

Options :

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?

Options :

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 advantage can you gain by leveraging different models from multiple providers through the SAP's generative Al hub?

Options :

A : Get more training data for new models

B : Train new models using SAP and non-SAP data

C : Enhance the accuracy and relevance of Al applications that use SAP-s data assets

D : Design new product interfaces for SAP applications

Answer: C

Question 5

Which of the following must you do before connecting to a dataset in order to train a machine learning model in SAP Al Core? Note: There are 2 correct answers to this question.

Options :

A : Store the dataset in a hyperscaler object store.

B : Grant access rights to the SAP BTP cockpit.

C : Provide the storage secret to access the dataset.

D : Store the dataset in the SAP HANA Vector Engine.

Answer: A,C

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