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C-AIG-2412 Latest Dumps Sheet & C-AIG-2412 Learning Mode
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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 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 2 | - 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.
| | Topic 3 | - 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 4 | - 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.
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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q30-Q35):NEW QUESTION # 30
Which of the following executables in generative Al hub works with Anthropic models?
- A. SAP AI Core
- B. AWS Bedrock
- C. GCP Vertex Al
- D. Azure OpenAl Service
Answer: B
Explanation:
In SAP's Generative AI Hub, the integration with Anthropic models is facilitated through specific executables:
1. AWS Bedrock:
* Integration with Anthropic Models:AWS Bedrock provides access to Anthropic's Claude models, enabling developers to utilize these models within their applications.
* Execution via Generative AI Hub:Through the Generative AI Hub, developers can select AWS Bedrock as the executable to work with Anthropic models, integrating them into their AI solutions.
Conclusion:
To work with Anthropic models within SAP's Generative AI Hub, developers should utilize the AWS Bedrock executable, which provides access to these models for integration into their applications.
NEW QUESTION # 31
Which of the following steps is NOT a requirement to use the Orchestration service?
- A. Get an auth token for orchestration
- B. Modify the underlying Al models
- C. Create an instance of an Al model
- D. Create a deployment for orchestration
Answer: B
NEW QUESTION # 32
Which of the following are features of the SAP AI Foundation? Note: There are 2 correct answers to this question.
- A. Ready-to-use Al services
- B. Al runtimes and lifecycle management
- C. Open source Al model repository
- D. Joule integration in SAP SuccessFactors
Answer: A,B
Explanation:
SAP AI Foundation is an all-in-one AI toolkit that provides developers with the necessary tools to build AI- powered extensions and applications on SAP Business Technology Platform (SAP BTP).
1. Ready-to-Use AI Services:
* Pre-Built AI Capabilities:AI Foundation offers a suite of ready-to-use AI services, enabling developers to integrate AI functionalities into their applications without the need to build models from scratch. These services include capabilities such as document information extraction, translation, and personalized recommendations.
2. AI Runtimes and Lifecycle Management:
* Comprehensive AI Management:AI Foundation provides tools for managing AI runtimes and the entire AI lifecycle, including model deployment, monitoring, and maintenance. This ensures that AI models operate efficiently and remain up-to-date, facilitating seamless integration into business processes.
3. Integration with SAP BTP:
* Unified Platform:By integrating with SAP BTP, AI Foundation allows for the development of AI solutions that are grounded in business data and context, ensuring relevance and reliability in AI-driven applications.
NEW QUESTION # 33
Which of the following are functionalities provided by the generative-Al-hub-SDK ? Note: There are 2 correct answers to this question.
- A. Configure SAP BTP credentials
- B. Interact with LLMs
- C. Customize SAP AI Launchpad
- D. Create chat responses and embeddings
Answer: B,D
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 # 34
What are some drivers for the rapid adoption of generative AI?
Note: There are 2 correct answers to this question.
- A. Availability of skilled developers
- B. Significant hardware cost savings
- C. Ease of use
- D. Wide availability
Answer: C,D
NEW QUESTION # 35
......
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