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[General] The Best C-AIG-2412 Valid Exam Topics | 100% Free Real C-AIG-2412 Exam Answers

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【General】 The Best C-AIG-2412 Valid Exam Topics | 100% Free Real C-AIG-2412 Exam Answers

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q45-Q50):NEW QUESTION # 45
Which of the following are grounding principles included in SAP's AI Ethics framework?
Note: There are 3 correct answers to this question.
  • A. Human agency and oversight
  • B. Transparency and explainability
  • C. Avoid bias and discrimination
  • D. Store all user data for legal proceedings
  • E. Maximize business profits
Answer: A,B,C

NEW QUESTION # 46
Which of the following is a benefit of using Retrieval Augmented Generation?
  • A. It reduces the computational resources required for language modeling.
  • B. It allows LLMs to access and utilize information beyond their initial training data.
  • C. It eliminates the need for fine-tuning LLMs for specific tasks.
  • D. It enables LLMs to learn new languages without additional training.
Answer: B

NEW QUESTION # 47
What is a part of LLM context optimization?
  • A. Enhancing the computational speed of the model
  • B. Adjusting the model's output format and style
  • C. Providing the model with domain-specific knowledge needed to solve a problem
  • D. Reducing the model's size to improve efficiency
Answer: C

NEW QUESTION # 48
What are some benefits of SAP Business Al? Note: There are 3 correct answers to this question.
  • A. Personalized recommendations based on Al algorithms
  • B. Automatic human emotion recognition
  • C. Face detection and face recognition
  • D. Al-powered forecasting and predictions
  • E. Intelligent business document processing
Answer: A,D,E

NEW QUESTION # 49
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. Create the Orchestration Configuration
  • B. Define the Template and Default Input Values
  • C. Define the LLM
  • D. Run the Orchestration Request
Answer: C
Explanation:
The provided code snippet defines a Large Language Model (LLM) within the SAP Generative AI Hub SDK's orchestration service:
from gen_ai_hub.orchestration.models.llm import LLM
llm = LLM(name="gpt-40", version="latest", parameters={"max_tokens": 256, "temperature": 0.2})
1. Importing the LLM Class:
* Code:from gen_ai_hub.orchestration.models.llm import LLM
* Purpose:Imports the LLM class from the SDK, enabling the creation of an LLM instance.
2. Defining the LLM Instance:
* Code:llm = LLM(name="gpt-40", version="latest", parameters={"max_tokens": 256, "temperature":
0.2})
* Parameters:
* name:Specifies the model's name, in this case, "gpt-40".
* version:Indicates the model version, set to "latest" to use the most recent version.
* parameters:A dictionary defining model-specific parameters:
* max_tokens:Sets the maximum number of tokens (words or word pieces) the model can generate, here limited to 256 tokens.
* temperature:Controls the randomness of the output; a lower value like 0.2 results in more deterministic responses.
3. Role in Orchestration Pipeline:
* Function:This definition is a crucial step in the orchestration pipeline, specifying which LLM to use and configuring its behavior for subsequent tasks.
Conclusion:
The code snippet defines an LLM named "gpt-40" with specific parameters, preparing it for integration into an AI-driven workflow within SAP's Generative AI Hub.

NEW QUESTION # 50
......
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