Get Certified Easily with Online C_AIG_2412 Dumps

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 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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2. What is the primary function of the generative Al hub in SAP's Al Foundation?

To serve as an abstraction layer to access a range of foundation Al models

To provide ready-to-use Al services for document processing

To store embeddings of unstructured data for semantic data retrieval

To manage the Al lifecycle efforts end-to-end

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3. You want to extract useful information from customer emails to augment existing applications in your company.

How can you use generative-ai-hub-sdk in this context?

Generate a new SAP application based on the mail data.

Generate JSON strings based on extracted information.

Generate random email content and send them to customers.

Train custom models based on the mail data.

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4. Which statement best describes the Chain-of-Thought (COT) prompting technique?

Linking multiple Al models in sequence, where each model's output becomes the input for the next model in the chain.

Writing a series of connected prompts creating a chain of related information.

Concatenating multiple related prompts to form a chain, guiding the model through sequential reasoning steps.

Connecting related concepts by having the LLM generate chains of ideas.

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

They ensure workload separation for different tenants or departments.

They enhance pipeline execution speeds through workload distribution.

They enable simultaneous orchestration of Kubernetes clusters.

They provide isolation for datasets and Al artifacts.

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6. Which technique is used to supply domain-specific knowledge to an LLM?

Domain-adaptation training

Prompt template expansion

Retrieval-Augmented Generation

Fine-tuning the model on general data

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7. 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

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8. 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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9. 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

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10. What are some benefits of using an SDK for evaluating prompts within the context of generative Al? Note: There are 3 correct answers to this question.

Maintaining data privacy by using data masking techniques

Creating custom evaluators that meet specific business needs

Automating prompt testing across various scenarios

Supporting low code evaluations using graphical user interface

Providing metrics to quantitatively assess response quality

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11. 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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12. 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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13. 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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14. 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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15. 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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16. DRAG DROP

Match the components of a Retrieval Augmented Generation architecture to the diagram.

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17. What are some characteristics of the SAP generative Al hub? Note: There are 2 correct answers to this question.

It operates independently of SAP's partners and ecosystem.

It ensures relevant, reliable, and responsible business Al.

It only supports traditional machine learning models.

It provides instant access to a wide range of large language models (LLMs).

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18. 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

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