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Valid SAP C-AIG-2412 Guide Files - C-AIG-2412 Exam Dumps Provider

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SAP C-AIG-2412 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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.

Topic 3

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 4

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.

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q37-Q42):

NEW QUESTION # 37
Why would a user include formatting instructions within a prompt?

A. To redirect the output to another software program
B. To increase the faithfulness of the output
C. To force the model to separate relevant and irrelevant output
D. To ensure the model's response follows a desired structure or style

Answer: D

NEW QUESTION # 38
How can few-shot learning enhance LLM performance?

A. By enhancing the model's computational efficiency
B. By providing a large training set to improve generalization
C. By offering input-output pairs that exemplify the desired behavior
D. By reducing overfitting through regularization techniques

Answer: C

NEW QUESTION # 39
What are some examples of generative Al technologies?
Note: There are 2 correct answers to this question.

A. Robotic process automation
B. Foundation models
C. Rule-based algorithms
D. Al models that generate new content based on training data

Answer: B,D

NEW QUESTION # 40
How does SAP ensure the enterprise-readiness of its Al solutions?

A. By ensuring that Al models make bias-free decisions without human input
B. By using generic Al models without business context complying with Al ethics standards
C. By implementing rigorous product standards for Al capabilities

Answer: C

NEW QUESTION # 41
Which of the following sequence of steps does SAP recommend you use to solve a business problem using generative Al hub?

A. Create a basic prompt in SAP AI Launchpad
B. Create a basic prompt in SAP AI Launchpad
C. Create a basic prompt in SAP AI Launchpad

Answer: A

NEW QUESTION # 42
......

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