2026 Provide Updated SAP C_AIG_2412 Dumps as Practice Test and PDF [Q32-Q51]

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2026 Provide Updated SAP C_AIG_2412 Dumps as Practice Test and PDF

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SAP C_AIG_2412 Exam Syllabus Topics:

Topic	Details
Topic 1	SAP AI Core: This section of the exam measures the skills of AI Developers and covers the fundamental components of SAP AI Core. Candidates are assessed on their ability to work with the core services that allow machine learning models to be deployed and managed within SAP environments. The focus is on understanding how AI Core fits into SAP’s ecosystem and ensures smooth integration with enterprise applications.
Topic 2	Advanced AI Techniques with SAP’s Generative AI Hub: This section of the exam measures the skills of Solution Architects and covers advanced techniques available through SAP’s Generative AI Hub. Candidates are assessed on their ability to design, optimize, and scale generative AI solutions that go beyond basic implementations. The focus includes applying sophisticated strategies to integrate advanced models, manage performance, and align AI-driven outcomes with complex enterprise goals.
Topic 3	Large Language Models (LLMs): This section of the exam measures the skills of AI Developers and covers the practical use of large language models in SAP environments. Candidates are expected to understand how LLMs can be applied to automate tasks, enhance decision-making, and improve user interaction within SAP systems. The exam evaluates knowledge of handling model selection, fine-tuning, and adapting LLMs to specific business cases.
Topic 4	SAP’s Generative AI Hub: This section of the exam measures the skills of Solution Architects and covers SAP’s Generative AI Hub, which acts as the central layer for designing and managing generative AI solutions. The exam tests knowledge of building, deploying, and connecting AI models to business scenarios through the Hub. Emphasis is placed on leveraging the Hub to streamline workflows and ensure scalable solutions that align with organizational needs.

NO.32 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.

NO.33 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

NO.34 What can be done once the training of a machine learning model has been completed in SAP AI Core? 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.

NO.35 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).

NO.36 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

NO.37 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.

NO.38 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

NO.39 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.

NO.40 Which of the following is unique about SAP’s approach to Al?

SAP’s deep integration of Al with business processes and analytics.

Offering Al capabilities in their future products as of 2025.

Utilizing Al mainly for marketing purposes.

Focusing Al solely on customer support services.

NO.41 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.

NO.42 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

NO.43 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

NO.44 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

NO.45 Which of the following sequence of steps does SAP recommend you use to solve a business problem using generative Al hub?

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.

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

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

NO.46 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

NO.47 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

NO.48 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

NO.49 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

NO.50 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.

NO.51 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

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2026 Provide Updated SAP C_AIG_2412 Dumps as Practice Test and PDF [Q32-Q51]

SAP C_AIG_2412 Exam Syllabus Topics:

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