Free SAP Certified Associate – SAP Generative AI Developer Exam C_AIG_2412 Exam Practice Test

How does SAP ensure the enterprise-readiness of its Al solutions?

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

How does SAP deal with vulnerability risks created by generative Al? Note: There are 2 correct answers to this question.

• By implementing responsible Al use guidelines and strong product security standards.
• By identifying human, technical, and exfiltration risks through an Al Security Taskforce.
• By focusing on technological advancement only.
• By relying on external vendors to manage security threats.

You want to use the orchestration service through SAP's generative-Al-hub-sdk. What does the following code do?from gen_ai_hub.orchestration.models.11m import LLM 11m =LLM(name="gpt-40", version="latest", parameters={"max_tokens": 256, "temperature": 0.2})

• Define the LLM
• Run the Orchestration Request
• Create the Orchestration Configuration
• Define the Template and Default Input Values

What are some benefits of SAP Business Al? Note: There are 3 correct answers to this question.

• Intelligent business document processing
• Face detection and face recognition
• Automatic human emotion recognition
• Al-powered forecasting and predictions
• Personalized recommendations based on Al algorithms

What does the Prompt Management feature of the SAP AI launchpad allow users to do?

• Create and edit prompts
• Provide personalized user interactions
• Interact with models through a conversational interface
• Access and manage saved prompts and their versions

Which of the following are functionalities provided by the generative-Al-hub-SDK ? Note: There are 2 correct answers to this question.

• Interact with LLMs
• Configure SAP BTP credentials
• Customize SAP AI Launchpad
• Create chat responses and embeddings

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

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

How does the Al API support SAP AI scenarios? Note: There are 2 correct answers to this question.

• By integrating Al services into business applications
• By providing a unified framework for operating Al services
• By integrating Al models into third-party platforms like AWS
• By managing Kubernetes clusters automatically

What are some use cases for fine-tuning of a model? Note: There are 2 correct answers to this question.

• To introduce new knowledge to a model in a resource-efficient way
• To quickly create iterations on a new use case
• To sanitize model outputs
• To customize outputs for specific types of inputs

What does SAP recommend you do before you start training a machine learning model in SAP AI Core? Note: There are 3 correct answers to this question.Configure the training pipeline using templates.Define the required infrastructure resources for training.Perform manual data integration with SAP HAN

• Configure the model deployment in SAP Al Launchpad.
• Register the input dataset in SAP AI Core.