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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 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.

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 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.

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q62-Q67):

NEW QUESTION # 62
How can few-shot learning enhance LLM performance?

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

Answer: D

NEW QUESTION # 63
Why is generative Al gaining significant attention and investment in the current business landscape? Note: There are 2 correct answers to this question.

A. It only requires natural language skills to use.
B. It can run entire business operations without human intervention.
C. It can replicate complex technical skills without training or quality control.
D. It lowers barriers to adoption.

Answer: A,D

NEW QUESTION # 64
What does SAP recommend you do before you start training a machine learning model in SAP AI Core?
Note: There are 3 correct answers to this question.

A. Perform manual data integration with SAP HANA.
B. Configure the model deployment in SAP Al Launchpad.
C. Register the input dataset in SAP AI Core.
D. Configure the training pipeline using templates.
E. Define the required infrastructure resources for training.

Answer: C,D,E

Explanation:
Before initiating the training of a machine learning model in SAP AI Core, SAP recommends the following steps:
* Configure the training pipeline using templates:Utilize predefined templates to set up the training pipeline, ensuring consistency and efficiency in the training process.
* Define the required infrastructure resources for training:Specify the computational resources, such as CPUs or GPUs, necessary for the training job to ensure optimal performance.
* Register the input dataset in SAP AI Core:Ensure that the dataset intended for training is properly registered within SAP AI Core, facilitating seamless access during the training process.
These preparatory steps are crucial for the successful training of machine learning models within the SAP AI Core environment.

NEW QUESTION # 65
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?

A. Administration
B. Chat
C. Prompt Editor
D. Prompt management

Answer: D

NEW QUESTION # 66
What is the purpose of splitting documents into smaller overlapping chunks in a RAG system?

A. To improve the efficiency of encoding queries into vector representations
B. To reduce the storage space required for the vector database
C. To enable the matching of different relevant passages to user queries
D. To simplify the process of training the embedding model

Answer: C

NEW QUESTION # 67
......

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