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SAP C_AIG_2412 Exam Syllabus Topics:

Topic
Details

Topic 1

SAP's Generative AI Hub: This section of the exam measures the skills of technology strategists and covers the functionalities provided by SAP's Generative AI Hub. It emphasizes how organizations can use generative AI to create new content and automate complex tasks. A vital skill evaluated is applying generative AI techniques to enhance business processes and customer experiences.

Topic 2

SAP Business AI: This section of the exam measures the skills of business analysts and covers the features and capabilities of SAP Business AI. It includes exploring how AI can automate processes, provide real-time insights, and enhance decision-making across various business functions.

Topic 3

Large Language Models (LLMs): This section of the exam measures the skills of AI Developers and covers the evolution of large language models, distinguishing them from traditional IT operations analytics. It also explores the current stages of AIOps systems and their implications for organizations. A key skill assessed is understanding the foundational concepts behind LLMs and their applications in various contexts.

Topic 4

SAP AI Core: This section of the exam measures the skills of SAP developers and covers the core components of SAP's AI framework. It emphasizes how these components integrate with existing systems to enhance functionality and performance. Leveraging SAP AI Core to develop intelligent applications that meet business needs is a critical skill that needs to be evaluated.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q40-Q45):

NEW QUESTION # 40
What are the benefits of SAP's generative Al hub?
Note: There are 2 correct answers to this question.

A. Build custom Al solutions and extend SAP applications
B. Accelerate Al development with flexible access to a broad range of models
C. Provide libraries for no-code development
D. Send your data to various LLM providers for training feedback

Answer: A,B

NEW QUESTION # 41
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.

A. The model can be deployed in SAP HAN
B. The model's accuracy can be optimized directly in SAP HANA.
C. The model can be registered in the hyperscaler object store.
D. The model can be deployed for inferencing.

Answer: C,D

NEW QUESTION # 42
What are some benefits of the SAP AI Launchpad? Note: There are 2 correct answers to this question.

A. Centralized Al lifecycle management for all Al scenarios.
B. Integration with non-SAP platforms like Azure and AWS.
C. Simplified model retraining and performance improvement.
D. Direct deployment of Al models to SAP HANA.

Answer: A,C

Explanation:
SAP AI Launchpad offers several benefits that enhance the development, deployment, and management of AI models within an organization.
1. Centralized AI Lifecycle Management for All AI Scenarios:
* Unified Platform:SAP AI Launchpad provides a centralized platform to manage the entire AI lifecycle, including model development, training, deployment, monitoring, and maintenance.
* Efficiency:This centralized approach streamlines workflows, reduces complexity, and ensures consistency across various AI projects and scenarios.

NEW QUESTION # 43
Which of the following is a principle of effective prompt engineering?

A. Write vague and open-ended instructions to encourage creativity.
B. Use precise language and providing detailed context in prompts.
C. Keep prompts as short as possible to avoid confusion.
D. Combine multiple complex tasks into a single prompt.

Answer: B

NEW QUESTION # 44
What capabilities does the Exploration and Development feature of the generative Al hub provide? Note: There are 2 correct answers to this question.

A. Al playground and chat
B. Prompt editor and management
C. Develop and debug ABAP code
D. Automatic model selection

Answer: A,B

NEW QUESTION # 45
......

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Sarah Mitchell Sarah Mitchell

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