Affordable SAP C_AIG_2412 Exam Dumps – Save Time, Money & Beat Exam Stress

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Exam Name: SAP Certified Associate – SAP Generative AI Developer

Exam Code: C_AIG_2412

Related Certification(s):

SAP Certified Associate Certifications
SAP Generative AI Developer Certifications

Certification Provider: SAP

Actual Exam Duration: Minutes

Number of C_AIG_2412 practice questions in our database: 60

Expected C_AIG_2412 Exam Topics, as suggested by SAP :

Module 1: Large Language Models (LLMs): This section of the exam measures the skills of AI Developers and covers the evolution of large language models, distinguishing them from traditional IT operations analytics. It also explores the current stages of AIOps systems and their implications for organizations. A key skill assessed is understanding the foundational concepts behind LLMs and their applications in various contexts.
Module 2: SAP AI Core: This section of the exam measures the skills of SAP developers and covers the core components of SAP’s AI framework. It emphasizes how these components integrate with existing systems to enhance functionality and performance. Leveraging SAP AI Core to develop intelligent applications that meet business needs is a critical skill that needs to be evaluated.
Module 3: SAP Business AI: This section of the exam measures the skills of business analysts and covers the features and capabilities of SAP Business AI. It includes exploring how AI can automate processes, provide real-time insights, and enhance decision-making across various business functions.
Module 4: SAP’s Generative AI Hub: This section of the exam measures the skills of technology strategists and covers the functionalities provided by SAP’s Generative AI Hub. It emphasizes how organizations can use generative AI to create new content and automate complex tasks. A vital skill evaluated is applying generative AI techniques to enhance business processes and customer experiences.

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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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