SAP C_AIG_2412 EXAM | EXAM C_AIG_2412 PAPERS - HIGH-EFFICIENT PASS4SURE FOR YOUR C_AIG_2412 PREPARING

SAP C_AIG_2412 Exam | Exam C_AIG_2412 Papers - High-Efficient Pass4sure for your C_AIG_2412 Preparing

SAP C_AIG_2412 Exam | Exam C_AIG_2412 Papers - High-Efficient Pass4sure for your C_AIG_2412 Preparing

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Tags: Exam C_AIG_2412 Papers, C_AIG_2412 Pass4sure, Exam C_AIG_2412 Review, C_AIG_2412 PDF Guide, Trustworthy C_AIG_2412 Exam Torrent

There is no doubt that advanced technologies are playing an important role in boosting the growth of SAP companies. This is the reason why the employees have now started upgrading their skillset with the SAP Certified Associate - SAP Generative AI Developer (C_AIG_2412) certification exam because they want to work with those latest applications and save their jobs. They attempt the SAP Certified Associate - SAP Generative AI Developer (C_AIG_2412) exam to validate their skills and try to get their dream job.

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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
  • 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 4
  • 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.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q12-Q17):

NEW QUESTION # 12
What are the applications of generative Al that go beyond traditional chatbot applications?
Note: There are 2 correct answers to this question.

  • A. To interpret human instructions and control software systems without necessarily producing output for human consumption.
  • B. To follow a specific schema - human input, Al processing, and output for human consumption.
  • C. To interpret human instructions and control software systems always producing output for human consumption.
  • D. To produce outputs based on software input.

Answer: A,C


NEW QUESTION # 13
Which of the following must you do before connecting to a dataset in order to train a machine learning model in SAP Al Core?
Note: There are 2 correct answers to this question.

  • A. Store the dataset in the SAP HANA Vector Engine.
  • B. Store the dataset in a hyperscaler object store.
  • C. Provide the storage secret to access the dataset.
  • D. Grant access rights to the SAP BTP cockpit.

Answer: B,C

Explanation:
Before connecting to a dataset for training a machine learning model in SAP AI Core, the following steps are necessary:
* Store the dataset in a hyperscaler object store:Ensure that the dataset is stored in a compatible object storage service provided by a cloud hyperscaler (e.g., AWS S3, Azure Blob Storage) to facilitate seamless access during training.
* Provide the storage secret to access the dataset:Configure the necessary access credentials (storage secrets) within SAP AI Core to securely connect to and retrieve the dataset from the object store.
These steps are essential to establish a secure and efficient connection to the dataset, enabling successful model training within SAP AI Core.


NEW QUESTION # 14
How does the Al API support SAP AI scenarios? Note: There are 2 correct answers to this question.

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

Answer: B,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 # 15
Which technique is used to supply domain-specific knowledge to an LLM?

  • A. Domain-adaptation training
  • B. Retrieval-Augmented Generation
  • C. Fine-tuning the model on general data
  • D. Prompt template expansion

Answer: A


NEW QUESTION # 16
What contract type does SAP offer for Al ecosystem partner solutions?

  • A. Bring Your Own License (BYOL) for embedded partner solutions
  • B. Annual subscription-only contracts
  • C. All-in-one contracts, with services that are contracted through SAP
  • D. Pay-as-you-go for each partner service

Answer: C

Explanation:
SAP collaborates with a wide ecosystem of partners, including leading general-purpose AI vendors, to provide tailored solutions to its customers. Through the SAP Store, customers have access to numerous partner applications and a variety of tools, allowing them to choose solutions that best fit their requirements.
Contractual Approach:
* All-in-One Contracts:SAP offers all-in-one contracts for AI ecosystem partner solutions, where services are white-labeled and contracted directly through SAP. This approach simplifies the procurement process for customers, as they engage with SAP as the single point of contact for both SAP and partner services.
* Exclusion of Bring Your Own License (BYOL) Model:SAP does not adopt a "bring your own license" model for these embedded partner solutions. Instead, all services are integrated and provided under unified contracts managed by SAP.
Benefits of This Contractual Model:
* Simplified Procurement:Customers benefit from a streamlined purchasing process, dealing with a single contract and point of contact for multiple services.
* Integrated Solutions:The all-in-one contract ensures that partner solutions are seamlessly integrated with SAP's offerings, providing a cohesive experience.
* Assured Compliance and Support:By contracting through SAP, customers can be confident in the compliance, security, and support standards upheld across all services.


NEW QUESTION # 17
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