[Feb-2025] C_AIG_2412 Free Sample Questions to Practice One Year Update [Q13-Q28]

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[Feb-2025] C_AIG_2412 Free Sample Questions to Practice One Year Update

Download C_AIG_2412 exam with SAP C_AIG_2412 Real Exam Questions

NEW QUESTION # 13
Which of the following are features of the SAP AI Foundation? Note: There are 2 correct answers to this question.

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

Answer: A,D


NEW QUESTION # 14
What is the purpose of splitting documents into smaller overlapping chunks in a RAG system?

  • A. To enable the matching of different relevant passages to user queries
  • B. To reduce the storage space required for the vector database
  • C. To improve the efficiency of encoding queries into vector representations
  • D. To simplify the process of training the embedding model

Answer: A


NEW QUESTION # 15
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 run entire business operations without human intervention.
  • B. It can replicate complex technical skills without training or quality control.
  • C. It lowers barriers to adoption.
  • D. It only requires natural language skills to use.

Answer: C,D


NEW QUESTION # 16
What advantage can you gain by leveraging different models from multiple providers through the SAP's generative Al hub?

  • A. Get more training data for new models
  • B. Train new models using SAP and non-SAP data
  • C. Enhance the accuracy and relevance of Al applications that use SAP's data assets
  • D. Design new product interfaces for SAP applications

Answer: C


NEW QUESTION # 17
How do resource groups in SAP AI Core improve the management of machine learning workloads?
Note: There are 2 correct answers to this question.

  • A. They enable simultaneous orchestration of Kubernetes clusters.
  • B. They provide isolation for datasets and Al artifacts.
  • C. They ensure workload separation for different tenants or departments.
  • D. They enhance pipeline execution speeds through workload distribution.

Answer: B,C


NEW QUESTION # 18
Which of the following are grounding principles included in SAP's AI Ethics framework?
Note: There are 3 correct answers to this question.

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

Answer: A,B,D


NEW QUESTION # 19
Which technique is used to supply domain-specific knowledge to an LLM?

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

Answer: C


NEW QUESTION # 20
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 run entire business operations without human intervention.
  • B. It can replicate complex technical skills without training or quality control.
  • C. It lowers barriers to adoption.
  • D. It only requires natural language skills to use.

Answer: C,D


NEW QUESTION # 21
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 providing context-based role-specific task assistance.
  • C. By maintaining strict adherence to data privacy regulations.
  • D. By resolving hardware malfunctions.

Answer: B,C


NEW QUESTION # 22
Match the components of a Retrieval Augmented Generation architecture to the diagram.

Answer:

Explanation:


NEW QUESTION # 23
What are some benefits of the SAP AI Launchpad? Note: There are 2 correct answers to this question.

  • A. Simplified model retraining and performance improvement.
  • B. Integration with non-SAP platforms like Azure and AWS.
  • C. Centralized Al lifecycle management for all Al scenarios.
  • D. Direct deployment of Al models to SAP HAN

Answer: A,C


NEW QUESTION # 24
What are some examples of generative Al technologies?
Note: There are 2 correct answers to this question.

  • A. Al models that generate new content based on training data
  • B. Robotic process automation
  • C. Rule-based algorithms
  • D. Foundation models

Answer: A,D


NEW QUESTION # 25
Which of the following is a principle of effective prompt engineering?

  • A. Keep prompts as short as possible to avoid confusion.
  • B. Combine multiple complex tasks into a single prompt.
  • C. Use precise language and providing detailed context in prompts.
  • D. Write vague and open-ended instructions to encourage creativity.

Answer: C


NEW QUESTION # 26
What can be done once the training of a machine learning model has been completed in SAP AI Core? Note: There are 2 correct answers to this question.

  • A. The model can be registered in the hyperscaler object store.
  • B. The model can be deployed for inferencing.
  • C. The model's accuracy can be optimized directly in SAP HANA.
  • D. The model can be deployed in SAP HAN

Answer: A,B


NEW QUESTION # 27
How can few-shot learning enhance LLM performance?

  • A. By enhancing the model's computational efficiency
  • B. By reducing overfitting through regularization techniques
  • C. By providing a large training set to improve generalization
  • D. By offering input-output pairs that exemplify the desired behavior

Answer: D


NEW QUESTION # 28
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SAP C_AIG_2412 Exam Syllabus Topics:

TopicDetails
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
  • 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.
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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