PASS C-AIG-2412 RATE | C-AIG-2412 RELIABLE TEST OBJECTIVES

Pass C-AIG-2412 Rate | C-AIG-2412 Reliable Test Objectives

Pass C-AIG-2412 Rate | C-AIG-2412 Reliable Test Objectives

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Tags: Pass C-AIG-2412 Rate, C-AIG-2412 Reliable Test Objectives, C-AIG-2412 Study Guide, C-AIG-2412 New Test Camp, New C-AIG-2412 Exam Testking

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SAP C-AIG-2412 Exam Syllabus Topics:

TopicDetails
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.

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C-AIG-2412 Reliable Test Objectives, C-AIG-2412 Study Guide

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q27-Q32):

NEW QUESTION # 27
Which of the following sequence of steps does SAP recommend you use to solve a business problem using generative Al hub?

  • A. Create a basic prompt in SAP AI Launchpad
  • B. Create a basic prompt in SAP AI Launchpad
  • C. Create a basic prompt in SAP AI Launchpad

Answer: B


NEW QUESTION # 28
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 only requires natural language skills to use.
  • B. It can replicate complex technical skills without training or quality control.
  • C. It lowers barriers to adoption.
  • D. It can run entire business operations without human intervention.

Answer: A,C


NEW QUESTION # 29
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. Tools for prompt engineering and experimentation
  • C. Proprietary LLMs exclusively
  • D. Code generation to extend SAP BTP applications

Answer: B,D


NEW QUESTION # 30
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. Prompt management
  • B. Administration
  • C. Prompt Editor
  • D. Chat

Answer: A

Explanation:
* Prompt managementis the section within SAP's generative AI hub (accessed via the SAP AI Launchpad) where you work with prompts, including:
* Creating and saving prompts:You can write and store your prompts for later use.
* Viewing prompt history:You can see a record of your past prompts and the AI's responses.
* Exporting prompts and responses:This is where you'd find the option to download your prompt and its corresponding response in JSON format.
Why the other options are incorrect:
* A. Chat:The chat interface is where you have interactive conversations with the generative AI. While you can see your conversation history there, you wouldn't typically find options to download it in JSON format.
* C. Administration:The administration section focuses on managing settings and configurations for the AI hub, not on individual prompts and responses.
* D. Prompt Editor:While a prompt editor might be used to create and refine prompts, it wouldn't necessarily be the place to manage or download them.


NEW QUESTION # 31
What is the goal of prompt engineering?

  • A. To develop new neural network architectures for Al models
  • B. To replace human decision-making with automated processes
  • C. To craft inputs that guide Al systems in generating desired outputs
  • D. To optimize hardware performance for Al computations

Answer: C

Explanation:
Prompt engineering involves designing and refining inputs, known as prompts, to effectively guide AI systems, particularly Large Language Models (LLMs), in producing desired outputs.
1. Understanding Prompt Engineering:
* Definition:Prompt engineering is the process of creating and optimizing prompts to elicit specific responses from AI models. It serves as a crucial interface between human intentions and machine- generated content.
* Purpose:The primary goal is to communicate the task requirements clearly to the AI model, ensuring that the generated output aligns with user expectations.
2. Importance in AI Systems:
* Guiding AI Behavior:Well-crafted prompts can direct AI models to perform a wide range of tasks, from answering questions to generating creative content, by setting the context and specifying the desired format of the output.
* Enhancing Output Quality:Effective prompt engineering can improve the relevance, coherence, and accuracy of AI-generated responses, making AI systems more useful and reliable in practical applications.
3. Application in SAP's Generative AI Hub:
* Prompt Management:SAP's Generative AI Hub provides tools for prompt management, allowing developers to create, edit, and manage prompts to interact with various AI models efficiently.
* Exploration and Development:The hub offers features like prompt editors and AI playgrounds, enabling users to experiment with different prompts and models to achieve optimal results for their specific use cases.


NEW QUESTION # 32
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