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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.
SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q44-Q49):
NEW QUESTION # 44
Which statement best describes the Chain-of-Thought (COT) prompting technique?
- A. Concatenating multiple related prompts to form a chain, guiding the model through sequential reasoning steps.
- B. Linking multiple Al models in sequence, where each model's output becomes the input for the next model in the chain.
- C. Connecting related concepts by having the LLM generate chains of ideas.
- D. Writing a series of connected prompts creating a chain of related information.
Answer: A
NEW QUESTION # 45
How does SAP deal with vulnerability risks created by generative Al? Note: There are 2 correct answers to this question.
- A. By identifying human, technical, and exfiltration risks through an Al Security Taskforce.
- B. By focusing on technological advancement only.
- C. By implementing responsible Al use guidelines and strong product security standards.
- D. By relying on external vendors to manage security threats.
Answer: A,C
Explanation:
SAP addresses vulnerability risks associated with generative AI through a comprehensive strategy:
1. Implementation of Responsible AI Use Guidelines and Strong Product Security Standards:
* AI Ethics Policy:SAP has established an AI Ethics Policy that mandates responsible AI usage, ensuring that AI systems are designed and deployed ethically, with considerations for fairness, transparency, and accountability.
* Product Security Standards:SAP integrates robust security measures into its AI products, adhering to stringent security protocols to protect against vulnerabilities and potential threats.
2. Identification of Risks through an AI Security Taskforce:
* AI Security Taskforce:SAP has established an AI Security Taskforce dedicated to identifying and mitigating risks associated with generative AI, including human factors, technical vulnerabilities, and data exfiltration threats.
NEW QUESTION # 46
What is a significant risk associated with using LLMs?
- A. Unlimited processing power usage without cost control
- B. Potential biases in generated content
- C. Complete elimination of human oversight in content creation
- D. Inability to generate text in multiple languages
Answer: B
Explanation:
A significant risk of using LLMs is the potential for biases in generated content, stemming from biases present in their training data. Option A is incorrect because LLMs do not inherently eliminate human oversight; oversight is often maintained, especially in enterprise settings like SAP's. Option B is false as LLMs can generate text in multiple languages, as seen with models like GPT-4. Option D, while a concern in terms of resource management, is not the most significant risk compared to bias, and cost control can be implemented. Option C is correct because biased outputs can lead to unfair decisions or misinformation, a risk SAP mitigates through its AI Ethics framework, which includes principles like avoiding bias and discrimination, ensuring responsible AI deployment.
NEW QUESTION # 47
What are some metrics to evaluate the effectiveness of a Retrieval Augmented Generation system? Note: There are 2 correct answers to this question.
- A. Faithfulness
- B. Carbon footprint
- C. Relevance
- D. Speed
Answer: A,C
NEW QUESTION # 48
What are some benefits of the SAP AI Launchpad? Note: There are 2 correct answers to this question.
- A. Direct deployment of Al models to SAP HAN
- B. Simplified model retraining and performance improvement.
- C. Integration with non-SAP platforms like Azure and AWS.
- D. Centralized Al lifecycle management for all Al scenarios.
Answer: B,D
NEW QUESTION # 49
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