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SAP C_AIG_2412 Exam Syllabus Topics:

Topic
Details

Topic 1

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.

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

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.

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q12-Q17):

NEW QUESTION # 12
What capabilities does the Exploration and Development feature of the generative Al hub provide? Note: There are 2 correct answers to this question.

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

Answer: A,C

NEW QUESTION # 13
Which of the following are functionalities provided by the generative-Al-hub-SDK ? Note: There are 2 correct answers to this question.

A. Interact with LLMs
B. Configure SAP BTP credentials
C. Create chat responses and embeddings
D. Customize SAP AI Launchpad

Answer: A,C

Explanation:
The Generative AI Hub SDK offers functionalities that empower developers to:
1. Interact with Large Language Models (LLMs):
* Model Access:The SDK provides a developer-friendly way to consume foundational models available in the SAP Generative AI Hub, facilitating seamless interactions with these models.
2. Create Chat Responses and Embeddings:
* Natural Language Processing:With this SDK, developers can interact with models to create natural language completions, chat responses, and embeddings, enabling the development of sophisticated AI- driven applications.
Conclusion:
The Generative AI Hub SDK enables developers to interact with LLMs and create chat responses and embeddings, supporting the development of advanced AI functionalities within applications.

NEW QUESTION # 14
What are some features of Joule?
Note: There are 3 correct answers to this question.

A. Generating standalone applications.
B. Downloading and processing data.
C. Maintaining data privacy while offering generative Al capabilities.
D. Providing coding assistance and content generation.
E. Streamlining tasks with an Al assistant that knows your unique role.

Answer: C,D,E

Explanation:
B: Providing coding assistance and content generation:
* Coding:Joule can help developers write code faster and with fewer errors. Imagine you need to create a simple report in ABAP (SAP's programming language). Instead of remembering the exact syntax and functions, you could describe what you need to Joule in plain English. It could then generate the code snippet, saving you time and reducing the chance of mistakes. This applies to other coding languages too, not just those within the SAP ecosystem.
* Content generation:Joule can create different kinds of content, such as:
* Emails:Need to send a quick update to your team? Tell Joule what information to include, and it can draft the email for you.
* Reports:Joule can analyze data and generate summaries or reports based on your requirements.
* Presentations:Need to create a slide deck? Joule can help you structure it and even suggest relevant content.
* Translations:Joule can translate text between multiple languages, making it easier to collaborate with colleagues around the world.
C: Maintaining data privacy while offering generative AI capabilities:
* Data security is paramount:SAP understands that businesses deal with sensitive data. Joule is built with strong security measures to protect this information. This includes things like encryption and access controls to ensure that only authorized users can see sensitive data.
* Privacy-preserving AI:Joule uses techniques like differential privacy to ensure that AI models don't inadvertently reveal private information while still providing valuable insights. This means that even if Joule learns from your company's data, it won't be possible to reconstruct that data or identify individuals from the AI's output.
D: Streamlining tasks with an AI assistant that knows your unique role:
* Personalized experience:Joule learns about your job title, department, and the tasks you typically perform. This allows it to provide more relevant and helpful suggestions.
* Contextual awareness:Joule understands the context of your work. For example, if you're a financial analyst, Joule will prioritize providing assistance related to finance tasks and data.
* Proactive help:Joule doesn't just wait for you to ask questions. It can anticipate your needs and proactively offer help. For instance, if you're working on a sales forecast, Joule might suggest relevant data sources or provide insights from previous forecasts.
In essence, Joule aims to be a powerful AI assistant that makes your work life easier and more efficient while keeping your data safe and respecting your privacy.

NEW QUESTION # 15
What are the applications of generative Al that go beyond traditional chatbot applications? Note: There are 2 correct answers to this question.

A. To interpret human instructions and control software systems without necessarily producing output for human consumption.
B. To interpret human instructions and control software systems always producing output for human consumption.
C. To follow a specific schema - human input, Al processing, and output for human consumption.
D. To produce outputs based on software input.

Answer: A,B

NEW QUESTION # 16
What are some benefits of the SAP AI Launchpad? Note: There are 2 correct answers to this question.

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

Answer: A,C

NEW QUESTION # 17
......

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