C-AIG-2412 Valid Dumps Ppt - C-AIG-2412 Study Tool

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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 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 2	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 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 (Q59-Q64):

NEW QUESTION # 59
Which of the following capabilities does the generative Al hub provide to developers? Note: There are 2 correct answers to this question.

A. Code generation to extend SAP BTP applications
B. Proprietary LLMs exclusively
C. Tools for prompt engineering and experimentation
D. Integration of foundation models into applications

Answer: A,C

NEW QUESTION # 60
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. Administration
B. Prompt management
C. Chat
D. Prompt Editor

Answer: B

NEW QUESTION # 61
What is the primary function of the generative Al hub in SAP's Al Foundation?

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

Answer: C

Explanation:
SAP's Generative AI Hub, a component of the SAP AI Foundation, provides a unified platform for accessing various foundation AI models.
1. Abstraction Layer Functionality:
* Unified Access:The Generative AI Hub acts as an abstraction layer, offering developers seamless access to a diverse range of large language models (LLMs) from multiple providers, such as GPT-4 by Azure OpenAI and open-source models like Falcon-40b.
* Simplified Integration:By providing a standardized interface, the hub simplifies the integration of these models into applications, reducing complexity and development time.
2. Supporting AI Development:
* Toolset Availability:The hub offers a comprehensive toolset for building custom AI solutions, including prompt engineering tools, SDKs, and fine-tuning services, facilitating efficient AI development.
* Model Orchestration:Developers can orchestrate multiple models, enabling the selection of the most suitable model for specific use cases, thereby enhancing the accuracy and relevance of AI applications.

NEW QUESTION # 62
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

Explanation:
* C. To interpret human instructions and control software systems without necessarily producing output for human consumption.This is a key area where generative AI is breaking new ground. Think of it as AI acting as a "middleman" between you and software. Here are some examples:
* Automating complex tasks:You could tell the AI to "optimize this database for performance" or
"find and fix security vulnerabilities in this code." The AI would then interact with the software systems to carry out these instructions, without needing to show you every step or result.
* Controlling robots or IoT devices:Imagine instructing an AI to "adjust the lighting in the meeting room" or "have the robot retrieve the package from the warehouse." The AI translates your instructions into actions for those systems.
* Managing cloud resources:AI could dynamically allocate cloud resources based on your needs, scaling them up or down without your direct intervention.
* D. To interpret human instructions and control software systems always producing output for human consumption.This is more in line with traditional chatbot interactions, but with a broader scope. It's about AI generating outputs that are directly useful or informative for humans. Examples include:
* Creating realistic images or videos:Based on your description, the AI could generate a photorealistic image of a new product design or a short video clip for a marketing campaign.
* Writing different kinds of creative text formats:AI can generate stories, poems,articles, summaries, and even code, all tailored to your specifications.
* Providing personalized recommendations:AI can analyze your preferences and provide recommendations for products, services, or information.
Why the other options are incorrect:
* A. To produce outputs based on software input.This is a general capability of AI, not something specific to generative AI or beyond chatbots. Many AI systems analyze software input (like sensor data or log files) to produce outputs.
* B. To follow a specific schema - human input, AI processing, and output for human consumption.
This describes the basic interaction pattern of many AI systems, including chatbots. It's not something that specifically differentiates generative AI or goes beyond typical chatbot applications.

NEW QUESTION # 63
What are some functionalities provided by SAP Al Core?
Note: There are 3 correct answers to this question.

A. Integration of Al services with business applications using a standardized API
B. Orchestration of Al workflows such as model training and inference
C. Management of SAP S/4HANA cloud infrastructure
D. Monitoring and retraining models in SAP Al Core
E. Continuous delivery and tenant isolation for scalability

Answer: A,B,E

NEW QUESTION # 64
......

No doubt the SAP C-AIG-2412 certification is a valuable credential that offers countless advantages to C-AIG-2412 exam holders. Beginners and experienced professionals can validate their skills and knowledge level with the SAP Certified Associate - SAP Generative AI Developer C-AIG-2412 Exam and earn solid proof of their proven skills.

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C-AIG-2412 Valid Dumps Ppt - C-AIG-2412 Study Tool

SAP C-AIG-2412 Exam Syllabus Topics:

Free PDF Quiz 2025 SAP C-AIG-2412: SAP Certified Associate - SAP Generative AI Developer Updated Valid Dumps Ppt

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q59-Q64):

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