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The SAP Certified Associate - SAP Generative AI Developer certification exam is one of the top-rated career advancement certification exams. The SAP C-AIG-2412 certification exam can play a significant role in career success. With the SAP Certified Associate - SAP Generative AI Developer (C-AIG-2412) certification, you can gain several benefits such as validation of skills, career advancement, competitive advantage, continuing education, and global recognition of your skills and knowledge.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q26-Q31):

NEW QUESTION # 26
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. Few-shot prompting
B. One-shot prompting
C. Chain-of-thought prompting
D. Meta prompting

Answer: D

NEW QUESTION # 27
Which of the following are functionalities provided by the generative-Al-hub-SDK ?
Note: There are 2 correct answers to this question.

A. Interact with LLMs
B. Create chat responses and embeddings
C. Configure SAP BTP credentials
D. Customize SAP AI Launchpad

Answer: A,B

NEW QUESTION # 28
Which of the following are functionalities provided by the generative-Al-hub-SDK ? Note: There are 2 correct answers to this question.

A. Interact with LLMs
B. Create chat responses and embeddings
C. Configure SAP BTP credentials
D. Customize SAP AI Launchpad

Answer: A,B

Explanation:
The Generative AI Hub SDK offers functionalities that empower developers to:
1. Interact with Large Language Models (LLMs):
* Model Access:The SDK provides a developer-friendly way to consume foundational models available in the SAP Generative AI Hub, facilitating seamless interactions with these models.
2. Create Chat Responses and Embeddings:
* Natural Language Processing:With this SDK, developers can interact with models to create natural language completions, chat responses, and embeddings, enabling the development of sophisticated AI- driven applications.
Conclusion:
The Generative AI Hub SDK enables developers to interact with LLMs and create chat responses and embeddings, supporting the development of advanced AI functionalities within applications.

NEW QUESTION # 29
What are some examples of generative Al technologies? Note: There are 2 correct answers to this question.

A. Al models that generate new content based on training data
B. Robotic process automation
C. Foundation models
D. Rule-based algorithms

Answer: A,C

Explanation:
Generative AI encompasses technologies that create new content by learning from existing data.
1. AI Models That Generate New Content Based on Training Data:
* Definition:These models analyze large datasets to produce original outputs, such as text, images, or music, that resemble the patterns found in the training data.
* Examples:Models like GPT-4 generate human-like text, while DALL E creates images from textual descriptions.
2. Foundation Models:
* Definition:Foundation models are large-scale AI models trained on extensive data across various domains. They serve as a base for fine-tuning on specific tasks, enabling versatility in applications.
* Examples:Models such as BERT and GPT-3 are foundation models that can be adapted for tasks like translation, summarization, or content generation.

NEW QUESTION # 30
What are the applications of generative Al that go beyond traditional chatbot applications? Note: There are 2 correct answers to this question.

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

Answer: B,C

NEW QUESTION # 31
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