BEST Verified SAP C-AIG-2412 Exam Questions (2026) [Q20-Q34]

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BEST Verified SAP C-AIG-2412 Exam Questions (2026)

The Best Practice Test Preparation for the C-AIG-2412 Certification Exam

NEW QUESTION 20
What is a Large Language Model (LLM)?

A rule-based expert system to analyze and generate grammatically correct sentences.

An Al model that specializes in processing, understanding, and generating human language.

A database system optimized for storing large volumes of textual data.

A gradient boosted decision tree algorithm for predicting text.

NEW QUESTION 21
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.

NEW QUESTION 22
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

NEW QUESTION 23
You want to download a json output for a prompt and the response.
Which of the following interfaces can you use in SAP’s generative Al hub in SAP AI Launchpad?

Chat

Prompt management

Administration

Prompt Editor

NEW QUESTION 24
What are the applications of generative Al that go beyond traditional chatbot applications? Note: There are 2 correct answers to this question.

To produce outputs based on software input.

To follow a specific schema – human input, Al processing, and output for human consumption.

To interpret human instructions and control software systems without necessarily producing output for human consumption.

To interpret human instructions and control software systems always producing output for human consumption.

NEW QUESTION 25
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

NEW QUESTION 26
Which of the following is a benefit of using Retrieval Augmented Generation?

It allows LLMs to access and utilize information beyond their initial training data.

It enables LLMs to learn new languages without additional training.

It eliminates the need for fine-tuning LLMs for specific tasks.

It reduces the computational resources required for language modeling.

NEW QUESTION 27
Why would a user include formatting instructions within a prompt?

To force the model to separate relevant and irrelevant output

To ensure the model’s response follows a desired structure or style

To increase the faithfulness of the output

To redirect the output to another software program

NEW QUESTION 28
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

NEW QUESTION 29
What advantage can you gain by leveraging different models from multiple providers through the SAP’s generative Al hub?

Get more training data for new models

Train new models using SAP and non-SAP data

Enhance the accuracy and relevance of Al applications that use SAP’s data assets

Design new product interfaces for SAP applications

NEW QUESTION 30
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

NEW QUESTION 31
What is the goal of prompt engineering?

To replace human decision-making with automated processes

To craft inputs that guide Al systems in generating desired outputs

To optimize hardware performance for Al computations

To develop new neural network architectures for Al models

NEW QUESTION 32
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

NEW QUESTION 33
What can be done once the training of a machine learning model has been completed in SAP AICore? Note:
There are 2 correct answers to this question.

The model can be deployed in SAP HANA.

The model’s accuracy can be optimized directly in SAP HANA.

The model can be deployed for inferencing.

The model can be registered in the hyperscaler object store.

NEW QUESTION 34
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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BEST Verified SAP C-AIG-2412 Exam Questions (2026) [Q20-Q34]

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