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SAP C-AIG-2412 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 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	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.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q53-Q58):

NEW QUESTION # 53
Which of the following techniques uses a prompt to generate or complete subsequent prompts (streamlining the prompt development process), and to effectively guide Al model responses?

A. Chain-of-thought prompting
B. Meta prompting
C. Few-shot prompting
D. One-shot prompting

Answer: B

NEW QUESTION # 54
How do resource groups in SAP AI Core improve the management of machine learning workloads? Note: There are 2 correct answers to this question.

A. They enhance pipeline execution speeds through workload distribution.
B. They provide isolation for datasets and Al artifacts.
C. They enable simultaneous orchestration of Kubernetes clusters.
D. They ensure workload separation for different tenants or departments.

Answer: B,D

NEW QUESTION # 55
Which neural network architecture is primarily used by LLMs?

A. Transformer architecture with self-attention mechanisms
B. Convolutional Neural Networks (CNNs)
C. Recurrent neural network architecture
D. Sequential encoder-decoder architecture

Answer: A

Explanation:
Large Language Models (LLMs) primarily utilize the Transformer architecture, which incorporates self- attention mechanisms.
1. Transformer Architecture:
* Overview:Introduced in 2017, the Transformer architecture revolutionized natural language processing by enabling models to handle long-range dependencies in text more effectively than previous architectures.
GeeksforGeeks
* Components:The Transformer consists of an encoder-decoder structure, where the encoder processes input sequences, and the decoder generates output sequences.
2. Self-Attention Mechanisms:
* Functionality:Self-attention allows the model to weigh the importance of different words in a sequence relative to each other, enabling it to capture contextual relationships regardless of their position.
* Benefits:This mechanism facilitates parallel processing of input data, improving computational efficiency and performance in understanding complex language patterns.
3. Application in LLMs:
* Model Examples:LLMs such as GPT-3 and BERT are built upon the Transformer architecture, leveraging self-attention to process and generate human-like text.
* Advantages:The Transformer architecture's ability to manage extensive context and dependencies makes it well-suited for tasks like language translation, summarization, and question-answering.

NEW QUESTION # 56
Why is generative Al gaining significant attention and investment in the current business landscape? Note: There are 2 correct answers to this question.

A. It can replicate complex technical skills without training or quality control.
B. It only requires natural language skills to use.
C. It lowers barriers to adoption.
D. It can run entire business operations without human intervention.

Answer: B,C

NEW QUESTION # 57
What contract type does SAP offer for Al ecosystem partner solutions?

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

Answer: A,B,D

NEW QUESTION # 58
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Latest C-AIG-2412 Practice Materials | New C-AIG-2412 Exam Pattern

New C-AIG-2412 Exam Pattern, New C-AIG-2412 Exam Vce

SAP C-AIG-2412 Exam Syllabus Topics:

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q53-Q58):

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