C-AIG-2412 Study Tool & Certification C-AIG-2412 Test Questions

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SAP C-AIG-2412 Exam Syllabus Topics:

Topic	Details
Topic 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.
Topic 2	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 3	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 4	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.

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Certification C-AIG-2412 Test Questions & Exam C-AIG-2412 Guide

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q23-Q28):

NEW QUESTION # 23
What are some components of the training pipeline in SAP AI Core? Note: There are 2 correct answers to this question.

A. Automated deployment to Kubernetes clusters
B. Executables that define the training process
C. The SAP HANA database for model storage
D. Input datasets stored in a hyperscaler object store

Answer: B,D

Explanation:
The training pipeline in SAP AI Core comprises several key components that facilitate the development and deployment of machine learning models.
1. Input Datasets Stored in a Hyperscaler Object Store:
* Data Storage:Input datasets are often stored in hyperscaler object stores, which provide scalable and secure storage solutions. These datasets serve as the foundational data for training machine learning models.
* Integration:SAP AI Core integrates with various hyperscaler object stores, allowing seamless access to training data during the model development process.

NEW QUESTION # 24
Which of the following sequence of steps does SAP recommend you use to solve a business problem using generative Al hub?

A. Create a basic prompt in SAP AI Launchpad
B. Create a basic prompt in SAP AI Launchpad
C. Create a basic prompt in SAP AI Launchpad

Answer: C

NEW QUESTION # 25
Which of the following are grounding principles included in SAP's AI Ethics framework? Note: There are 3 correct answers to this question.

A. Store all user data for legal proceedings
B. Avoid bias and discrimination
C. Human agency and oversight
D. Transparency and explainability
E. Maximize business profits

Answer: B,C,D

Explanation:
SAP's AI Ethics framework is built upon several grounding principles to ensure responsible AI development and deployment:
1. Transparency and Explainability:
* Definition:Ensuring that AI systems are understandable and their decision-making processes can be clearly explained to stakeholders.
* Implementation:SAP commits to making AI systems transparent, providing clearinformation about how decisions are made to build trust and facilitate accountability.
2. Human Agency and Oversight:
* Definition:Maintaining human control over AI systems, ensuring that humans can intervene or oversee AI operations as necessary.
* Implementation:SAP emphasizes the importance of human oversight in AI applications, ensuring that AI augments human decision-making rather than replacing it.
3. Avoid Bias and Discrimination:
* Definition:Preventing AI systems from perpetuating or amplifying biases, ensuring fair and equitable treatment for all users.
* Implementation:SAP strives to develop AI systems that are free from bias, implementing measures to detect and mitigate discriminatory outcomes.

NEW QUESTION # 26
How can Joule improve workforce productivity? Note: There are 2 correct answers to this question.

A. By offering generic task recommendations unrelated to specific roles.
B. By maintaining strict adherence to data privacy regulations.
C. By providing context-based role-specific task assistance.
D. By resolving hardware malfunctions.

Answer: B,C

Explanation:
SAP's AI copilot, Joule, enhances workforce productivity through several key features:
1. Adherence to Data Privacy Regulations:
* Data Security and Privacy:Joule is designed with a strong emphasis on data security and privacy, ensuring compliance with data protection regulations. This adherence builds user trust and allows employees to utilize AI tools confidently, knowing that their data is handled responsibly.
2. Context-Based Role-Specific Task Assistance:
* Personalized Assistance:Joule provides context-aware support tailored to individual roles within an organization. By understanding the specific needs and responsibilities of each user, Joule offers relevant insights and automates routine tasks, thereby enhancing efficiency and allowing employees to focus on higher-value activities.

NEW QUESTION # 27
Which technique is used to supply domain-specific knowledge to an LLM?

A. Prompt template expansion
B. Fine-tuning the model on general data
C. Domain-adaptation training
D. Retrieval-Augmented Generation

Answer: C

NEW QUESTION # 28
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