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Using SAP Certified Associate - SAP Generative AI Developer C_AIG_2412 questions can help you build confidence as you prepare for the exam. By practicing with these C_AIG_2412 dumps questions, you will be better prepared and more confident when you take the actual exam. Besides, C_AIG_2412 exam dumps questions cover a wide range of topics that are relevant to the certification exam. By using C_AIG_2412 dumps questions, you will be able to ensure that you have a comprehensive understanding of the material covered on the exam. Practice free SAP C_AIG_2412 exam dumps below.

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1. What is a part of LLM context optimization?

Reducing the model's size to improve efficiency

Adjusting the model's output format and style

Enhancing the computational speed of the model

Providing the model with domain-specific knowledge needed to solve a problem

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2. What is Machine Learning (ML)?

A subset of Al that focuses on enabling computer systems to learn and improve from experience or data.

A statistical method for data processing that does not involve any Al techniques.

A form of Al that only focuses on creating new content, including text, images, sound, and videos.

A technology that equips machines with human-like capabilities such as problem-solving, visual perception, and decision-making.

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3. Which of the following capabilities does the generative Al hub provide to developers? Note: There

are 2 correct answers to this question.

Proprietary LLMs exclusively

Code generation to extend SAP BTP applications

Tools for prompt engineering and experimentation

Integration of foundation models into applications

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4. What are some features of Joule? Note: There are 3 correct answers to this question.

Generating standalone applications.

Providing coding assistance and content generation.

Maintaining data privacy while offering generative Al capabilities.

Streamlining tasks with an Al assistant that knows your unique role.

Downloading and processing data.

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5. What must be defined in an executable to train a machine learning model using SAP AI Core? Note: There are 2 correct answers to this question.

Pipeline containers to be used

Infrastructure resources such as CPUs or GPUs

User scripts to manually execute pipeline steps

Deployment templates for SAP AI Launchpad

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6. 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

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

Ready-to-use Al services

Al runtimes and lifecycle management

Open source Al model repository

Joule integration in SAP SuccessFactors

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8. 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

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9. What are some drivers for the rapid adoption of generative AI? Note: There are 2 correct answers to this question.

Availability of skilled developers

Significant hardware cost savings

Wide availability

Ease of use

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10. How can Joule improve workforce productivity? Note: There are 2 correct answers to this question.

By maintaining strict adherence to data privacy regulations.

By resolving hardware malfunctions.

By offering generic task recommendations unrelated to specific roles.

By providing context-based role-specific task assistance.

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11. How can few-shot learning enhance LLM performance?

By enhancing the model's computational efficiency

By providing a large training set to improve generalization

By reducing overfitting through regularization techniques

By offering input-output pairs that exemplify the desired behavior

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

The user's question is used to search a knowledge base or a set of documents.

The embedding model stores the generated answers for future reference.

The retrieved content is combined with the LLM's capabilities to generate a response.

The LLM directly answers the user's question without accessing external information.

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13. Which of the following techniques uses a prompt to generate or complete subsequent prompts (streamlining the prompt development process), and to effectively guide Al model responses?

Chain-of-thought prompting

Few-shot prompting

Meta prompting

One-shot prompting

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14. Which of the following steps is NOT a requirement to use the Orchestration service?

Get an auth token for orchestration

Create an instance of an Al model

Create a deployment for orchestration

Modify the underlying Al models

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15. Where can you configure language models in generative Al hub?

The Configuration tab within ML Operations in SAP AI Launchpad

The Models tab in Prompt Editor

The Configuration tab of the SAP BTP cockpit

The Orchestration tab in SAP AI Launchpad

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16. Which neural network architecture is primarily used by LLMs?

Transformer architecture with self-attention mechanisms

Recurrent neural network architecture

Convolutional Neural Networks (CNNs)

Sequential encoder-decoder architecture

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17. What are some functionalities provided by SAP Al Core? Note: There are 3 correct answers to this question.

Integration of Al services with business applications using a standardized API

Continuous delivery and tenant isolation for scalability

Orchestration of Al workflows such as model training and inference

Management of SAP S/4HANA cloud infrastructure

Monitoring and retraining models in SAP Al Core

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18. What capabilities does the Exploration and Development feature of the generative Al hub provide? Note: There are 2 correct answers to this question.

Al playground and chat

Automatic model selection

Develop and debug ABAP code

Prompt editor and management

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