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C-AIG-2412 Exams Dumps - C-AIG-2412 Actual Exam Dumps

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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 (Q50-Q55):

NEW QUESTION # 50
Which of the following capabilities does the generative Al hub provide to developers? Note: There are 2 correct answers to this question.

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

Answer: C,D

NEW QUESTION # 51
What is a significant risk associated with using LLMs?

A. Unlimited processing power usage without cost control
B. Potential biases in generated content
C. Inability to generate text in multiple languages
D. Complete elimination of human oversight in content creation

Answer: B

Explanation:
A significant risk of using LLMs is the potential for biases in generated content, stemming from biases present in their training data. Option A is incorrect because LLMs do not inherently eliminate human oversight; oversight is often maintained, especially in enterprise settings like SAP's. Option B is false as LLMs can generate text in multiple languages, as seen with models like GPT-4. Option D, while a concern in terms of resource management, is not the most significant risk compared to bias, and cost control can be implemented. Option C is correct because biased outputs can lead to unfair decisions or misinformation, a risk SAP mitigates through its AI Ethics framework, which includes principles like avoiding bias and discrimination, ensuring responsible AI deployment.

NEW QUESTION # 52
What is the primary function of the generative Al hub in SAP's Al Foundation?

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

Answer: A

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 # 53
Which of the following is a principle of effective prompt engineering?

A. Combine multiple complex tasks into a single prompt.
B. Use precise language and providing detailed context in prompts.
C. Keep prompts as short as possible to avoid confusion.
D. Write vague and open-ended instructions to encourage creativity.

Answer: B

NEW QUESTION # 54
What is Machine Learning (ML)?

A. A statistical method for data processing that does not involve any Al techniques.
B. A subset of Al that focuses on enabling computer systems to learn and improve from experience or data.
C. A form of Al that only focuses on creating new content, including text, images, sound, and videos.
D. A technology that equips machines with human-like capabilities such as problem-solving, visual perception, and decision-making.

Answer: A,C,D

NEW QUESTION # 55
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