SAP C_AIG_2412 Exam - Free questions
Certification Provider:
SAP
Exam Name:
SAP Generative AI Developer
Exam Code:
C_AIG_2412
C_AIG_2412 Free Questions:
Below you can find SAP Generative AI Developer exam free sample questions which will help you to prepare for your upcoming SAP certification exam. These questions will give you an idea of what to expect on the exam and help you review the C_AIG_2412 study material provided in SAP Learning hub. However we recommend that you enrol in premium SAP C_AIG_2412 questions which will guarantee you to pass your exam.
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Question No. 1) A financial institution is deploying the SAP Generative AI Hub to generate personalized customer summaries. They need to ensure ethical and accurate outputs. What actions should the institution prioritize? (3 Correct)
1) Train the AI models on historical customer data
2) Use built-in bias detection tools for ethical compliance
3) Implement audit trails for all AI decisions
4) Integrate the model with SAP Analytics Cloud for insights
5) Automate the workflow approvals for generated summaries
Question No. 2) A financial services firm uses SAP Business AI to predict cash flow and optimize account reconciliation processes. What actions should the firm take to maximize SAP Business AI capabilities?
(3 Correct)
1) Use predictive analytics for cash flow projections
2) Automate reconciliation workflows
3) Deploy AI-based fraud detection models
4) Integrate results with SAP Analytics Cloud
5) Develop custom models for risk assessment
Question No. 3) How can few-shot learning enhance LLM performance?
1) By enhancing the model's computational efficiency
2) By providing a large training set to improve generalization
3) By reducing overfitting through regularization techniques
4) By offering input-output pairs that exemplify the desired behavior
Question No. 4) How can Joule improve workforce productivity? (2 correct)
1) By maintaining strict adherence to data privacy regulations.
2) By resolving hardware malfunctions.
3) By offering generic task recommendations unrelated to specific roles.
4) By providing context-based role-specific task assistance.
Question No. 5) How can Kubernetes infrastructure enhance the functionality of SAP AI Core? (3 Correct)
1) By automatically developing Al models without human intervention
2) By ensuring high availability and fault tolerance for applications
3) By supporting autoscaling of containers based on demand
4) By eliminating the requirement for Docker containers
5) By enabling the allocation of GPU resources for Al models
Question No. 6) How does SAP deal with vulnerability risks created by generative Al? (2 correct)
1) By implementing responsible Al use guidelines and strong product security standards.
2) By identifying human, technical, and exfiltration risks through an Al Security Taskforce.
3) By focusing on technological advancement only.
4) By relying on external vendors to manage security threats.
Question No. 7) How does the Generative AI Hub enhance business workflows? (2 Correct)
1) By providing personalized customer interactions
2) By automating manual approval processes
3) By generating predictive financial forecasts
4) By enhancing ERP workflow intelligence
Question No. 8) What are agents?
1) Small units of code that perform specific tasks such as access to external data sources
2) Software programs that can be used to interact with LLMs
3) Software programs that act like intermediaries between humans and LLMS
4) Physical devices that process natural language data for LLMs.
Question No. 9) What are some benefits of SAP Business Al? (3 Correct)
1) Intelligent business document processing
2) Face detection and face recognition
3) Automatic human emotion recognition
4) Al-powered forecasting and predictions
5) Personalized recommendations based on Al algorithms
Question No. 10) What are some drivers for the rapid adoption of generative AI? (2 correct)
1) Availability of skilled developers
2) Significant hardware cost savings
3) Wide availability
4) Ease of use
Question No. 11) What are some metrics to evaluate the effectiveness of a Retrieval Augmented Generation system? (2 correct)
1) Carbon footprint
2) Faithfulness
3) Speed
4) Relevance
Question No. 12) What capabilities does the Exploration and Development feature of the generative Al hub provide? (2 correct)
1) Al playground and chat
2) Automatic model selection
3) Develop and debug ABAP code
4) Prompt editor and management
Question No. 13) What challenge is addressed by the Generative AI Hub's built-in bias detection tools?
1) Managing ERP workflows
2) Identifying inaccuracies in financial reports
3) Ensuring ethical AI model outputs
4) Enhancing system uptime
Question No. 14) What is the term for an LLM's ability to continue generating text after receiving a partial input?
1) Data Augmentation
2) Auto-completion
3) Zero-shot Learning
4) Text Extrapolation
Question No. 15) Which evaluation metric is commonly used to assess the performance of LLMs in text generation tasks?
1) BLEU Score
2) F1 Score
3) Cross-Entropy Loss
4) Recall
Question No. 16) Which neural network architecture is primarily used by LLMs?
1) Transformer architecture with self-attention mechanisms
2) Recurrent neural network architecture
3) Convolutional Neural Networks (CNNs)
4) Sequential encoder-decoder architecture
Question No. 17) Which of the following can you do after training a machine learning model in SAP AI Core? (2 Correct)
1) Assess the resource allocation costs during training.
2) Analyze the model's performance metrics.
3) Review the Kubernetes infrastructure scalability.
4) Validate the accuracy of the model against business requirements.
Question No. 18) Which of the following is a principle of effective prompt engineering?
1) Use precise language and providing detailed context in prompts.
2) Combine multiple complex tasks into a single prompt.
3) Keep prompts as short as possible to avoid confusion.
4) Write vague and open-ended instructions to encourage creativity.
Question No. 19) Which of the following is unique about SAP's approach to Al?
1) SAP's deep integration of Al with business processes and analytics.
2) Offering Al capabilities in their future products as of 2025.
3) Utilizing Al mainly for marketing purposes.
4) Focusing Al solely on customer support services.
Question No. 20) Which of the following sequence of steps does SAP recommend you use to solve a business problem using generative Al hub?
1) Create a basic prompt in SAP AI Launchpad
* Evaluate various models for the problem using generative-ai-hub-sdk
* Scale the solution using generative-ai-hub-sdk
* Create a baseline evaluation method for the simple prompt
* Enhance the prompts.
2) Create a basic prompt in SAP AI Launchpad
* Enhance the prompts
* Create a baseline evaluation method for the simple prompt
* Evaluate various models for the problem using generative-ai-hub-sdk
* Scale the solution using generative-ai-hub-sdk
3) Create a basic prompt in SAP AI Launchpad
* Scale the solution using generative-ai-hub-sdk
* Create a baseline evaluation method for the simple prompt
* Enhance the prompts
* Evaluate various models for the problem using generative-ai-hub-sdk
Question No. 21) Which statement best describes the Chain-of-Thought (COT) prompting technique?
1) Linking multiple Al models in sequence, where each model's output becomes the input for the next model in the chain.
2) Writing a series of connected prompts creating a chain of related information.
3) Concatenating multiple related prompts to form a chain, guiding the model through sequential reasoning steps.
4) Connecting related concepts by having the LLM generate chains of ideas.
Question No. 22) Which types of AI workloads can be managed using SAP AI Core? (2 Correct)
1) Predictive analytics models
2) Text-based generative AI models
3) Image recognition workflows
4) SAP GUI automation scripts
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C_AIG_2412 Exam Answers