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The latest SAP Certification C_AIG_2412 exam training methods

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q39-Q44):

NEW QUESTION # 39
Which of the following steps is NOT a requirement to use the Orchestration service?

A. Get an auth token for orchestration
B. Create a deployment for orchestration
C. Create an instance of an Al model
D. Modify the underlying Al models

Answer: D

NEW QUESTION # 40
Why is generative Al gaining significant attention and investment in the current business landscape?
Note: There are 2 correct answers to this question.

A. It can run entire business operations without human intervention.
B. It can replicate complex technical skills without training or quality control.
C. It lowers barriers to adoption.
D. It only requires natural language skills to use.

Answer: C,D

NEW QUESTION # 41
How can few-shot learning enhance LLM performance?

A. By enhancing the model's computational efficiency
B. By reducing overfitting through regularization techniques
C. By providing a large training set to improve generalization
D. By offering input-output pairs that exemplify the desired behavior

Answer: D

NEW QUESTION # 42
What defines SAP's approach to LLMs?

A. Prioritizing the development of proprietary LLMs with no integration to existing systems
B. Limiting LLM usage to non-business applications only
C. Ensuring ethical AI practices and seamless business integration
D. Focusing solely on reducing the computational cost of training LLMs

Answer: C

Explanation:
SAP's approach to Large Language Models (LLMs) is centered on integrating these powerful AI tools into its enterprise ecosystem while adhering to ethical standards. Unlike option A, SAP does not focus solely on proprietary LLMs without integration; instead, it leverages both proprietary and third-party models (e.g., via partnerships with providers like Azure OpenAI) to enhance business applications. Option B is incorrect because reducing computational cost is not the sole focus-SAP prioritizes value delivery through integration with business processes. Option D is also inaccurate, as SAP explicitly targets business applications rather than limiting LLMs to non-business use. Option C is correct because SAP emphasizes ethical AI practices (e.
g., through its AI Ethics Policy) and seamless integration with tools like SAP S/4HANA and SAP SuccessFactors, ensuring LLMs enhance enterprise workflows responsibly and effectively.

NEW QUESTION # 43
What is a Large Language Model (LLM)?

A. A database system optimized for storing large volumes of textual data.
B. A rule-based expert system to analyze and generate grammatically correct sentences.
C. A gradient boosted decision tree algorithm for predicting text.
D. An Al model that specializes in processing, understanding, and generating human language.

Answer: D

Explanation:
A Large Language Model (LLM) is an advanced AI model designed to handle various natural language processing tasks.
1. Definition and Purpose:
* Processing:LLMs analyze human language to understand syntax, semantics, and context.
* Understanding:They interpret the meaning behind text, enabling comprehension of nuanced language elements.
* Generating:LLMs can produce coherent and contextually appropriate text, facilitating tasks like content creation and translation.
2. Characteristics of LLMs:
* Scale:These models are trained on vast datasets, encompassing billions of words, which enhances their language capabilities.
* Architecture:LLMs typically utilize complex neural network architectures, such as transformers, to manage and process language data effectively.
3. Applications:
* Content Generation:Creating articles, summaries, and reports.
* Language Translation:Converting text from one language to another with high accuracy.
* Conversational Agents:Powering chatbots and virtual assistants to interact with users naturally.

NEW QUESTION # 44
......

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