PASS C-AIG-2412 GUARANTEED | EXAM C-AIG-2412 REVIEW

Pass C-AIG-2412 Guaranteed | Exam C-AIG-2412 Review

Pass C-AIG-2412 Guaranteed | Exam C-AIG-2412 Review

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Tags: Pass C-AIG-2412 Guaranteed, Exam C-AIG-2412 Review, Training C-AIG-2412 Pdf, C-AIG-2412 Exam Reviews, Valid C-AIG-2412 Test Pattern

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SAP C-AIG-2412 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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
  • 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.

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q35-Q40):

NEW QUESTION # 35
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 providing a unified framework for operating Al services
  • C. By managing Kubernetes clusters automatically
  • D. By integrating Al models into third-party platforms like AWS

Answer: A,B


NEW QUESTION # 36
Which of the following executables in generative Al hub works with Anthropic models?

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

Answer: C

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 # 37
What are some SAP recommendations to evaluate pricing and rate information of model usage within SAP's generative Al hub?
Note: There are 2 correct answers to this question.

  • A. Use pricing models that have fixed rates irrespective of the usage patterns
  • B. Avoid subscription-based pricing models
  • C. Adopt best practice pricing strategies, such as outcome-based pricing
  • D. Weigh the cost of using advanced models against the expected return on investment

Answer: C,D


NEW QUESTION # 38
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. Prompt Editor
  • C. Administration
  • D. Chat

Answer: A


NEW QUESTION # 39
What can be done once the training of a machine learning model has been completed in SAP AI Core? Note: There are 2 correct answers to this question.

  • A. The model can be registered in the hyperscaler object store.
  • B. The model can be deployed in SAP HAN
  • C. The model can be deployed for inferencing.
  • D. The model's accuracy can be optimized directly in SAP HANA.

Answer: A,C


NEW QUESTION # 40
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