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SAP C-AIG-2412 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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.
Topic 3	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.
Topic 4	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 evaluated.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q45-Q50):

NEW QUESTION # 45
What capabilities does the Exploration and Development feature of the generative Al hub provide? Note: There are 2 correct answers to this question.

A. Prompt editor and management
B. Develop and debug ABAP code
C. Automatic model selection
D. Al playground and chat

Answer: A,D

NEW QUESTION # 46
Which of the following are features of the SAP AI Foundation?
Note: There are 2 correct answers to this question.

A. Ready-to-use Al services
B. Al runtimes and lifecycle management
C. Joule integration in SAP SuccessFactors
D. Open source Al model repository

Answer: A,B

NEW QUESTION # 47
What is the primary function of the embedding model in a RAG system?

A. To evaluate the faithfulness and relevance of generated answers
B. To generate responses based on retrieved documents and user queries
C. To encode queries and documents into vector representations for comparison
D. To store vector representations of documents and search for relevant passages

Answer: C

NEW QUESTION # 48
What are some metrics to evaluate the effectiveness of a Retrieval Augmented Generation system?
Note: There are 2 correct answers to this question.

A. Relevance
B. Speed
C. Carbon footprint
D. Faithfulness

Answer: A,D

NEW QUESTION # 49
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 follow a specific schema - human input, Al processing, and output for human consumption.
C. To interpret human instructions and control software systems always producing output for human consumption.
D. To produce outputs based on software input.

Answer: A,C

NEW QUESTION # 50
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