Pass Guaranteed 2025 C-AIG-2412: Unparalleled Exam SAP Certified Associate - SAP Generative AI Developer Quizzes

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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 (Q46-Q51):

NEW QUESTION # 46
What is a Large Language Model (LLM)?

A. An Al model that specializes in processing, understanding, and generating human language.
B. A rule-based expert system to analyze and generate grammatically correct sentences.
C. A database system optimized for storing large volumes of textual data.
D. A gradient boosted decision tree algorithm for predicting text.

Answer: A

NEW QUESTION # 47
How does the Al API support SAP AI scenarios? Note: There are 2 correct answers to this question.

A. By integrating Al services into business applications
B. By managing Kubernetes clusters automatically
C. By integrating Al models into third-party platforms like AWS
D. By providing a unified framework for operating Al services

Answer: A,D

Explanation:
The AI API in SAP plays a crucial role in supporting AI scenarios by facilitating the integration of AI services into business applications and providing a unified framework for operating these services.
1. Integration of AI Services into Business Applications:
* Seamless Integration:The AI API enables developers to incorporate AI functionalities directly into SAP and non-SAP business applications, enhancing their capabilities with intelligent features.
* Use Case Example:Integrating AI models into SAP Build Apps allows for the creation of AI-powered applications that can perform tasks such as data analysis, predictive modeling, and more.
2. Unified Framework for Operating AI Services:
* Standardized Operations:The AI API provides a consistent and standardized framework for managing AI services, ensuring uniformity in deployment, monitoring, and maintenance across different platforms.
* Scalability and Flexibility:This unified approach allows for scalable AI operations, accommodating various AI models and services within a cohesive operational structure.

NEW QUESTION # 48
What are some drivers for the rapid adoption of generative AI?
Note: There are 2 correct answers to this question.

A. Wide availability
B. Ease of use
C. Availability of skilled developers
D. Significant hardware cost savings

Answer: A,B

NEW QUESTION # 49
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 JSON strings based on extracted information.
D. Generate a new SAP application based on the mail data.

Answer: C

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 # 50
What capabilities does the Exploration and Development feature of the generative Al hub provide? Note:
There are 2 correct answers to this question.

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

Answer: A,D

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 # 51
......

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Pass Guaranteed 2025 C-AIG-2412: Unparalleled Exam SAP Certified Associate - SAP Generative AI Developer Quizzes

SAP C-AIG-2412 Exam Syllabus Topics:

Hot Exam C-AIG-2412 Quizzes | High Pass-Rate SAP C-AIG-2412: SAP Certified Associate - SAP Generative AI Developer 100% Pass

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

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