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SAP C_AIG_2412 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 3

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 4

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.

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q47-Q52):

NEW QUESTION # 47
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. Define the required infrastructure resources for training.
C. Configure the model deployment in SAP Al Launchpad.
D. Register the input dataset in SAP AI Core.
E. Configure the training pipeline using templates.

Answer: B,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 # 48
What are some use cases for fine-tuning of a model? Note: There are 2 correct answers to this question.

A. To customize outputs for specific types of inputs
B. To sanitize model outputs
C. To introduce new knowledge to a model in a resource-efficient way
D. To quickly create iterations on a new use case

Answer: A,C

NEW QUESTION # 49
What are some functionalities provided by SAP Al Core? Note: There are 3 correct answers to this question.

A. Monitoring and retraining models in SAP Al Core
B. Orchestration of Al workflows such as model training and inference
C. Integration of Al services with business applications using a standardized API
D. Continuous delivery and tenant isolation for scalability
E. Management of SAP S/4HANA cloud infrastructure

Answer: B,C,D

NEW QUESTION # 50
What are some benefits of SAP Business Al? Note: There are 3 correct answers to this question.

A. Intelligent business document processing
B. Face detection and face recognition
C. Automatic human emotion recognition
D. Personalized recommendations based on Al algorithms
E. Al-powered forecasting and predictions

Answer: A,D,E

Explanation:
SAP Business AI offers a suite of capabilities designed to enhance various business processes through intelligent automation and data-driven insights.
1. Intelligent Business Document Processing:
* Document Information Extraction:SAP Business AI includes services that automate the extraction of relevant information from business documents, such as invoices and purchase orders. This automation reduces manual data entry, minimizes errors, and accelerates processing times.
2. AI-Powered Forecasting and Predictions:
* Predictive Analytics:SAP Business AI leverages machine learning models to analyze historical data and predict future trends. This capability assists businesses in demand forecasting, financial planning, and inventory management, enabling proactive decision-making.
3. Personalized Recommendations Based on AI Algorithms:
* Personalized Recommendation Services:By analyzing user behavior and preferences, SAP Business AI provides personalized product or service recommendations. This personalization enhances customer experience and can lead to increased sales and customer satisfaction.

NEW QUESTION # 51
Which of the following steps must be performed to deploy LLMs in the generative Al hub?

A. Run the booster
B. Provision SAP AI Core
C. Check for foundation model scenario
D. Provision SAP AI

Answer: B

NEW QUESTION # 52
......

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