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SAP C-AIG-2412 Exam Syllabus Topics:

Topic
Details

Topic 1

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 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.

Topic 3

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 4

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.

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q27-Q32):

NEW QUESTION # 27
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. Carbon footprint
C. Speed
D. Faithfulness

Answer: A,D

NEW QUESTION # 28
How does SAP ensure the enterprise-readiness of its Al solutions?

A. By using generic Al models without business context complying with Al ethics standards
B. By implementing rigorous product standards for Al capabilities
C. By ensuring that Al models make bias-free decisions without human input

Answer: B

Explanation:
SAP ensures the enterprise-readiness of its AI solutions through the implementation of rigorous product standards:
1. Rigorous Product Standards for AI Capabilities:
* Development Guidelines:SAP adheres to strict guidelines during the development of AI systems, ensuring they meet high standards of quality, security, and performance.
* Ethical Framework:SAP's AI Ethics Policy governs the development, deployment, use, and sale of AI systems, defining clear ethical rules aligned with global standards.
* Compliance and Governance:SAP has established governance bodies and processes to oversee AI ethics, ensuring that AI solutions are developed and deployed responsibly.

NEW QUESTION # 29
Which of the following statements accurately describe the RAG process? Note: There are 2 correct ans-wers to this question.

A. The embedding model stores the generated ans wers for future reference.
B. The LLM directly ans wers the user's question without accessing external information.
C. The user's questi on is used to search a knowledge base or a set of documents.
D. The retrieved content is combined with the LLM's capabilities to generate a response.

Answer: C,D

Explanation:
Retrieval-Augmented Generation (RAG) is a process that enhances the capabilities of Large Language Models (LLMs) by integrating external knowledge sources into the response generation process.
1. Understanding the RAG Process:
* User Query:The process begins with a user's question or prompt, which serves as the input for the system.
* Retrieval Step:The system uses the user's query to search a knowledge base or a set of documents, retrieving relevant information that can inform the response.
* Integration with LLM:The retrieved content is then combined with the LLM's inherent knowledge and language generation capabilities to produce a comprehensive and contextually relevant response.
2. Benefits of the RAG Process:
* Enhanced Accuracy:By incorporating up-to-date and domain-specific information from external sources, RAG improves the accuracy of AI-generated responses.
* Contextual Relevance:The integration of retrieved data ensures that the responses are more aligned with the specific context of the user's query.
3. Application in SAP's Generative AI Hub:
* Generative AI Hub SDK:SAP provides a Generative AI Hub SDK that facilitates the implementation of RAG by enabling seamless integration of retrieval mechanisms with LLMs.
* Tutorials and Resources:SAP offers tutorials, such as "Retrieval Augmented Generation using generative-ai-hub-sdk and HANA vector search," to guide developers in implementing RAG systems effectively.

NEW QUESTION # 30
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. Send your data to various LLM providers for training feedback
C. Build custom Al solutions and extend SAP applications
D. Provide libraries for no-code development

Answer: A,C

NEW QUESTION # 31
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 replicate complex technical skills without training or quality control.
B. It lowers barriers to adoption.
C. It can run entire business operations without human intervention.
D. It only requires natural language skills to use.

Answer: B,D

NEW QUESTION # 32
......

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