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C-AIG-2412 Associate Level Exam | C-AIG-2412 Free Exam Questions

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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 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 2

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 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

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.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q49-Q54):

NEW QUESTION # 49
What is the primary function of the generative Al hub in SAP's Al Foundation?

A. To provide ready-to-use Al services for document processing
B. To manage the Al lifecycle efforts end-to-end
C. To store embeddings of unstructured data for semantic data retrieval
D. To serve as an abstraction layer to access a range of foundation Al models

Answer: D

NEW QUESTION # 50
Which of the following executables in generative Al hub works with Anthropic models?

A. AWS Bedrock
B. GCP Vertex Al
C. Azure OpenAl Service
D. SAP AI Core

Answer: A

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 # 51
What are some benefits of using an SDK for evaluating prompts within the context of generative Al?
Note: There are 3 correct answers to this question.

A. Supporting low code evaluations using graphical user interface
B. Maintaining data privacy by using data masking techniques
C. Providing metrics to quantitatively assess response quality
D. Automating prompt testing across various scenarios
E. Creating custom evaluators that meet specific business needs

Answer: C,D,E

NEW QUESTION # 52
What capabilities does the Exploration and Development feature of the generative Al hub provide? Note:
There are 2 correct answers to this question.

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

Answer: B,C

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 # 53
Which of the following is a benefit of using Retrieval Augmented Generation?

A. It allows LLMs to access and utilize information beyond their initial training data.
B. It eliminates the need for fine-tuning LLMs for specific tasks.
C. It reduces the computational resources required for language modeling.
D. It enables LLMs to learn new languages without additional training.

Answer: A

NEW QUESTION # 54
......

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