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SAP C_AIG_2412 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 3

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 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.

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q46-Q51):

NEW QUESTION # 46
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. Prompt management
B. Administration
C. Prompt Editor
D. Chat

Answer: A

Explanation:
* Prompt managementis the section within SAP's generative AI hub (accessed via the SAP AI Launchpad) where you work with prompts, including:
* Creating and saving prompts:You can write and store your prompts for later use.
* Viewing prompt history:You can see a record of your past prompts and the AI's responses.
* Exporting prompts and responses:This is where you'd find the option to download your prompt and its corresponding response in JSON format.
Why the other options are incorrect:
* A. Chat:The chat interface is where you have interactive conversations with the generative AI. While you can see your conversation history there, you wouldn't typically find options to download it in JSON format.
* C. Administration:The administration section focuses on managing settings and configurations for the AI hub, not on individual prompts and responses.
* D. Prompt Editor:While a prompt editor might be used to create and refine prompts, it wouldn't necessarily be the place to manage or download them.

NEW QUESTION # 47
Which statement best describes the Chain-of-Thought (COT) prompting technique?

A. Writing a series of connected prompts creating a chain of related information.
B. Connecting related concepts by having the LLM generate chains of ideas.
C. Concatenating multiple related prompts to form a chain, guiding the model through sequential reasoning steps.
D. Linking multiple Al models in sequence, where each model's output becomes the input for the next model in the chain.

Answer: C

Explanation:
Chain-of-Thought (CoT) prompting is a technique that involves concatenating multiple related prompts to guide a language model through a series of reasoning steps, leading to a final conclusion.
1. Structure of CoT Prompting:
* Sequential Reasoning:By breaking down a complex problem into a sequence of intermediate prompts, the model addresses each step methodically, enhancing its problem-solving capabilities.
* Logical Progression:Each prompt builds upon the previous one, ensuring a coherent flow of information that mirrors human logical reasoning.
2. Advantages of CoT Prompting:
* Enhanced Comprehension:This structured approach helps the model understand and process intricate tasks by focusing on one aspect at a time.
* Improved Accuracy:By guiding the model through detailed reasoning steps, CoT prompting reduces the likelihood of errors in the final output.

NEW QUESTION # 48
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. Al playground and chat
C. Develop and debug ABAP code
D. Automatic model selection

Answer: A,B

Explanation:
The Exploration and Development feature of SAP's Generative AI Hub provides several capabilities to facilitate AI solution development:
1. AI Playground and Chat:
* Interactive Environment:The AI playground offers an interactive space for developers to experiment with various AI models, test prompts, and observe outputs in real-time.
* Conversational Interface:The chat functionality enables users to engage in dialogue with AI models, refining prompts and understanding model behavior through iterative interactions.
2. Prompt Editor and Management:
* Prompt Creation:The prompt editor allows developers to craft and modify prompts tailored to specific business needs, enhancing the precision of AI responses.
* Prompt Organization:Prompt management tools facilitate the organization, versioning, and storage of prompts, ensuring efficient retrieval and reuse in various projects.

NEW QUESTION # 49
How does SAP ensure the enterprise-readiness of its Al solutions?

A. By implementing rigorous product standards for Al capabilities
B. By using generic Al models without business context complying with Al ethics standards
C. By ensuring that Al models make bias-free decisions without human input

Answer: A

Explanation:
SAP ensures the enterprise-readiness of its AI solutions through the implementation of rigorous product standards:
1. Rigorous Product Standards for AI Capabilities:
* Development Guidelines:SAP adheres to strict guidelines during the development of AI systems, ensuring they meet high standards of quality, security, and performance.
* Ethical Framework:SAP's AI Ethics Policy governs the development, deployment, use, and sale of AI systems, defining clear ethical rules aligned with global standards.
* Compliance and Governance:SAP has established governance bodies and processes to oversee AI ethics, ensuring that AI solutions are developed and deployed responsibly.

NEW QUESTION # 50
How does SAP deal with vulnerability risks created by generative Al? Note: There are 2 correct answers to this question.

A. By implementing responsible Al use guidelines and strong product security standards.
B. By focusing on technological advancement only.
C. By identifying human, technical, and exfiltration risks through an Al Security Taskforce.
D. By relying on external vendors to manage security threats.

Answer: A,C

NEW QUESTION # 51
......

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Ella Nelson Ella Nelson

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