FREE PDF 2025 SAP TRUSTABLE C-AIG-2412: SAP CERTIFIED ASSOCIATE - SAP GENERATIVE AI DEVELOPER PRACTICE TEST ONLINE

Free PDF 2025 SAP Trustable C-AIG-2412: SAP Certified Associate - SAP Generative AI Developer Practice Test Online

Free PDF 2025 SAP Trustable C-AIG-2412: SAP Certified Associate - SAP Generative AI Developer Practice Test Online

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Tags: C-AIG-2412 Practice Test Online, C-AIG-2412 Exam Questions And Answers, C-AIG-2412 Examinations Actual Questions, C-AIG-2412 Exam Reference, Valid C-AIG-2412 Vce

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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 Exam Questions And Answers - C-AIG-2412 Examinations Actual Questions

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q57-Q62):

NEW QUESTION # 57
What is the goal of prompt engineering?

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

Answer: A

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 # 58
What does SAP recommend you do before you start training a machine learning model in SAP AI Core?
Note: There are 3 correct answers to this question.

  • A. Configure the model deployment in SAP Al Launchpad.
  • B. Configure the training pipeline using templates.
  • C. Register the input dataset in SAP AI Core.
  • D. Define the required infrastructure resources for training.
  • E. Perform manual data integration with SAP HANA.

Answer: B,C,D

Explanation:
Before initiating the training of a machine learning model in SAP AI Core, SAP recommends the following steps:
* Configure the training pipeline using templates:Utilize predefined templates to set up the training pipeline, ensuring consistency and efficiency in the training process.
* Define the required infrastructure resources for training:Specify the computational resources, such as CPUs or GPUs, necessary for the training job to ensure optimal performance.
* Register the input dataset in SAP AI Core:Ensure that the dataset intended for training is properly registered within SAP AI Core, facilitating seamless access during the training process.
These preparatory steps are crucial for the successful training of machine learning models within the SAP AI Core environment.


NEW QUESTION # 59
What is Machine Learning (ML)?

  • A. A subset of Al that focuses on enabling computer systems to learn and improve from experience or data.
  • B. A statistical method for data processing that does not involve any Al techniques.
  • 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: B,C,D


NEW QUESTION # 60
What advantage can you gain by leveraging different models from multiple providers through the SAP's generative Al hub?

  • A. Get more training data for new models
  • B. Enhance the accuracy and relevance of Al applications that use SAP's data assets
  • C. Design new product interfaces for SAP applications
  • D. Train new models using SAP and non-SAP data

Answer: B


NEW QUESTION # 61
Which of the following is a principle of effective prompt engineering?

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

Answer: A

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 # 62
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