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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q13-Q18):

NEW QUESTION # 13
Which technique is used to supply domain-specific knowledge to an LLM?

A. Domain-adaptation training
B. Retrieval-Augmented Generation
C. Prompt template expansion
D. Fine-tuning the model on general data

Answer: B

Explanation:
Retrieval-Augmented Generation (RAG) is a technique that enhances Large Language Models (LLMs) by integrating external domain-specific knowledge, enabling more accurate and contextually relevant outputs.
1. Understanding Retrieval-Augmented Generation (RAG):
* Definition:RAG combines the generative capabilities of LLMs with retrieval mechanisms that access external knowledge bases or documents. This integration allows the model to incorporate up-to-date and domain-specific information into its responses.
* Mechanism:When presented with a query, the RAG system retrieves pertinent information from external sources and uses this data to inform and generate a more accurate and contextually appropriate response.
2. Application in Supplying Domain-Specific Knowledge:
* Domain Adaptation:By leveraging RAG, LLMs can access specialized information without the need for extensive retraining or fine-tuning. This approach is particularly beneficial for domains with rapidly evolving information or where incorporating proprietary data is essential.
* Efficiency:RAG enables models to provide informed responses by referencing external data, reducing the necessity for large-scale domain-specific training datasets and thereby conserving computational resources.
3. Advantages of Using RAG:
* Up-to-Date Information:Since RAG systems can query current data sources, they are capable of providing the most recent information available, which is crucial in dynamic fields.
* Enhanced Accuracy:Incorporating external knowledge allows the model to produce more precise and contextually relevant outputs, especially in specialized domains.

NEW QUESTION # 14
You want to use the orchestration service through SAP's generative-Al-hub-sdk.
What does the following code do?
from gen_ai_hub.orchestration.models.11m import LLM
11m =
LLM(name="gpt-40", version="latest", parameters={"max_tokens": 256, "temperature": 0.2})

A. Run the Orchestration Request
B. Define the LLM
C. Define the Template and Default Input Values
D. Create the Orchestration Configuration

Answer: B

NEW QUESTION # 15
You want to download a json output for a prompt and the response.
Which of the following interfaces can you use in SAP's generative Al hub in SAP AI Launchpad?

A. Chat
B. Administration
C. Prompt management
D. Prompt Editor

Answer: C

NEW QUESTION # 16
Which of the following is unique about SAP's approach to Al?

A. SAP's deep integration of Al with business processes and analytics.
B. Focusing Al solely on customer support services.
C. Utilizing Al mainly for marketing purposes.
D. Offering Al capabilities in their future products as of 2025.

Answer: A

NEW QUESTION # 17
What are the applications of generative Al that go beyond traditional chatbot applications?
Note: There are 2 correct answers to this question.

A. To interpret human instructions and control software systems without necessarily producing output for human consumption.
B. To interpret human instructions and control software systems always producing output for human consumption.
C. To follow a specific schema - human input, Al processing, and output for human consumption.
D. To produce outputs based on software input.

Answer: A,B

NEW QUESTION # 18
......

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