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SAP C-AIG-2412 Exam Syllabus Topics:
Topic
Details
Topic 1
- 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 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
- 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 (Q53-Q58):
NEW QUESTION # 53
What is the primary function of the embedding model in a RAG system?
- A. To store vector representations of documents and search for relevant passages
- B. To generate responses based on retrieved documents and user queries
- C. To encode queries and documents into vector representations for comparison
- D. To evaluate the faithfulness and relevance of generated answers
Answer: C
NEW QUESTION # 54
What are some advantages of using agents in training models? Note: There are 2 correct answers to this question.
- A. To eliminate the need for human oversight
- B. To improve the quality of results
- C. To streamline LLM workflows
- D. To guarantee accurate decision making in complex scenarios
Answer: B,C
NEW QUESTION # 55
How can few-shot learning enhance LLM performance?
- A. By enhancing the model's computational efficiency
- B. By offering input-output pairs that exemplify the desired behavior
- C. By providing a large training set to improve generalization
- D. By reducing overfitting through regularization techniques
Answer: B
Explanation:
Few-shot learning enhances the performance of Large Language Models (LLMs) by providing them with a limited number of input-output examples that demonstrate the desired task behavior.
1. Mechanism of Few-Shot Learning:
* Exemplification:By supplying a few examples, the model gains insight into the task requirements, enabling it to generalize from these instances to handle new, unseen inputs effectively.
* Adaptability:This approach allows LLMs to adapt to specific tasks without extensive retraining, making them versatile across various applications.
2. Benefits in Performance Enhancement:
* Improved Accuracy:With clear examples, the model's predictions align more closely with the desired outcomes, reducing errors.
* Efficiency:Few-shot learning minimizes the need for large datasets, accelerating the development process and conserving computational resources.
NEW QUESTION # 56
What does the Prompt Management feature of the SAP AI launchpad allow users to do?
- A. Create and edit prompts
- B. Interact with models through a conversational interface
- C. Provide personalized user interactions
- D. Access and manage saved prompts and their versions
Answer: A,D
NEW QUESTION # 57
Which of the following is unique about SAP's approach to Al?
- A. Focusing Al solely on customer support services.
- B. Offering Al capabilities in their future products as of 2025.
- C. SAP's deep integration of Al with business processes and analytics.
- D. Utilizing Al mainly for marketing purposes.
Answer: C
Explanation:
SAP distinguishes itself by deeply embedding Artificial Intelligence (AI) into its core business processes and analytics, enhancing efficiency and decision-making across various enterprise functions.
1. Integration of AI into Business Processes:
* SAP Business AI:SAP focuses on solving customers' business problems by integrating AI directly into business processes, rather than offering general-purpose AI platforms. This approach ensures that AI solutions are tailored to specific business needs, enhancing process efficiency and effectiveness.
* SAP S/4HANA Integration:By embedding AI into SAP S/4HANA, SAP enables real-time data analysis and process optimization. This integration allows for improved supply chain efficiency, enhanced financial decision-making, and personalized customer experiences.
2. AI-Driven Analytics:
* SAP Analytics Cloud:This solution combines AI with analytics and planning, unlocking the full potential of business data. It provides advanced analytics capabilities, enabling businesses to make informed decisions based on real-time insights.
* Predictive Analytics Library:SAP HANA includes a Predictive Analytics Library with native algorithms for statistical measures, clustering, classification, and time series analysis. This facilitates advanced data processing and predictive analytics within business applications.
3. AI in Enterprise Applications:
* SAP SuccessFactors:AI is integrated into SAP SuccessFactors to enhance human resources processes, such as talent acquisition and employee engagement, by providing data-driven insights and automating routine tasks.
* SAP AI Business Services:These services offer reusable AI capabilities that can be integrated across various business processes, automating tasks like document processing andenriching customer experiences.
NEW QUESTION # 58
......
Candidates who become SAP C-AIG-2412 certified demonstrate their worth in the SAP field. The SAP Certified Associate - SAP Generative AI Developer (C-AIG-2412) certification is proof of their competence and skills. This is a highly sought-after skill in large SAP companies and makes a career easier for the candidate. To become certified, you must pass the SAP Certified Associate - SAP Generative AI Developer (C-AIG-2412) certification exam. For this task, you need high-quality and accurate SAP Certified Associate - SAP Generative AI Developer (C-AIG-2412) exam dumps.
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