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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 (Q20-Q25):

NEW QUESTION # 20
What are some advantages of using agents in training models? Note: There are 2 correct answers to this question.

A. To guarantee accurate decision making in complex scenarios
B. To streamline LLM workflows
C. To eliminate the need for human oversight
D. To improve the quality of results

Answer: B,D

NEW QUESTION # 21
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 replicate complex technical skills without training or quality control.
C. It lowers barriers to adoption.
D. It can run entire business operations without human intervention.

Answer: A,C

NEW QUESTION # 22
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. Register the input dataset in SAP AI Core.
B. Configure the training pipeline using templates.
C. Configure the model deployment in SAP Al Launchpad.
D. Perform manual data integration with SAP HANA.
E. Define the required infrastructure resources for training.

Answer: A,B,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 # 23
How can few-shot learning enhance LLM performance?

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

Answer: A

NEW QUESTION # 24
You want to extract useful information from customer emails to augment existing applications in your company.
How can you use generative-ai-hub-sdk in this context?

A. Train custom models based on the mail data.
B. Generate random email content and send them to customers.
C. Generate a new SAP application based on the mail data.
D. Generate JSON strings based on extracted information.

Answer: D

Explanation:
The generative-ai-hub-sdk in SAP's Generative AI Hub enables developers to interact with large language models (LLMs) for various tasks, including information extraction and data formatting.
1. Extracting Information from Customer Emails:
* Natural Language Processing (NLP):By leveraging LLMs, the SDK can process unstructured email content to identify and extract pertinent information, such as customer inquiries, sentiments, or intents.
2. Generating JSON Strings:
* Structured Data Output:After extracting the necessary information, the SDK can format the data into JSON strings. This structured format is essential for integrating the extracted information into existing applications, facilitating seamless data exchange and processing.
3. Integration into Existing Applications:
* Application Enhancement:The JSON-formatted data can be utilized to augment existing applications, such as customer relationship management (CRM) systems, by providing insights derived from customer emails, thereby improving decision-making and customerinteractions.

NEW QUESTION # 25
......

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