QUIZ 2025 C_AIG_2412: VALID PREMIUM SAP CERTIFIED ASSOCIATE - SAP GENERATIVE AI DEVELOPER EXAM

Quiz 2025 C_AIG_2412: Valid Premium SAP Certified Associate - SAP Generative AI Developer Exam

Quiz 2025 C_AIG_2412: Valid Premium SAP Certified Associate - SAP Generative AI Developer Exam

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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 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
  • 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.

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C_AIG_2412 Guide Torrent: SAP Certified Associate - SAP Generative AI Developer & C_AIG_2412 Practice Test Questions

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q15-Q20):

NEW QUESTION # 15
Match the components of a Retrieval Augmented Generation architecture to the diagram.

Answer:

Explanation:

Explanation:
A screenshot of a computer Description automatically generated


NEW QUESTION # 16
What are some drivers for the rapid adoption of generative AI?
Note: There are 2 correct answers to this question.

  • A. Wide availability
  • B. Availability of skilled developers
  • C. Significant hardware cost savings
  • D. Ease of use

Answer: A,D


NEW QUESTION # 17
What capabilities does the Exploration and Development feature of the generative Al hub provide? Note:
There are 2 correct answers to this question.

  • A. Prompt editor and management
  • B. Al playground and chat
  • C. Automatic model selection
  • D. Develop and debug ABAP code

Answer: A,B

Explanation:
The Exploration and Development feature of SAP's Generative AI Hub provides several capabilities to facilitate AI solution development:
1. AI Playground and Chat:
* Interactive Environment:The AI playground offers an interactive space for developers to experiment with various AI models, test prompts, and observe outputs in real-time.
* Conversational Interface:The chat functionality enables users to engage in dialogue with AI models, refining prompts and understanding model behavior through iterative interactions.
2. Prompt Editor and Management:
* Prompt Creation:The prompt editor allows developers to craft and modify prompts tailored to specific business needs, enhancing the precision of AI responses.
* Prompt Organization:Prompt management tools facilitate the organization, versioning, and storage of prompts, ensuring efficient retrieval and reuse in various projects.


NEW QUESTION # 18
What are some characteristics of the SAP generative Al hub? Note: There are 2 correct answers to this question.

  • A. It only supports traditional machine learning models.
  • B. It operates independently of SAP's partners and ecosystem.
  • C. It provides instant access to a wide range of large language models (LLMs).
  • D. It ensures relevant, reliable, and responsible business Al.

Answer: C,D


NEW QUESTION # 19
Which of the following is a principle of effective prompt engineering?

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

Answer: C

Explanation:
Effective prompt engineering is crucial for guiding AI models to produce accurate and relevant outputs.
1. Importance of Precision and Context:
* Clarity:Using precise language in prompts minimizes ambiguity, ensuring the AI model comprehends the exact requirements.
* Detailed Context:Providing comprehensive context helps the model understand the background and nuances of the task, leading to more accurate and tailored responses.
2. Best Practices in Prompt Engineering:
* Specificity:Clearly define the desired outcome, including any constraints or specific formats required.
* Instruction Inclusion:Incorporate explicit instructions within the prompt to guide the model's behavior effectively.
* Avoiding Ambiguity:Steer clear of vague or open-ended language that could lead to varied interpretations.
3. Benefits of Effective Prompt Engineering:
* Enhanced Output Quality:Well-crafted prompts lead to responses that closely align with user expectations.
* Efficiency:Reduces the need for iterative refinements, saving time and computational resources.


NEW QUESTION # 20
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