FREE PDF QUIZ 2025 SAP C_AIG_2412 UNPARALLELED LATEST EXAM FEE

Free PDF Quiz 2025 SAP C_AIG_2412 Unparalleled Latest Exam Fee

Free PDF Quiz 2025 SAP C_AIG_2412 Unparalleled Latest Exam Fee

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Our to-the-point and trustworthy SAP Certified Associate - SAP Generative AI Developer Exam Questions in three formats for the SAP C_AIG_2412 certification exam will surely assist you to qualify for SAP C_AIG_2412 Certification. Do not underestimate the value of our SAP C_AIG_2412 exam dumps because it is the make-or-break point of your career.

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
  • 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 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.

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q11-Q16):

NEW QUESTION # 11
Which of the following statements accurately describe the RAG process? Note: There are 2 correct ans-wers to this question.

  • A. The user's questi on is used to search a knowledge base or a set of documents.
  • B. The embedding model stores the generated ans wers for future reference.
  • C. The retrieved content is combined with the LLM's capabilities to generate a response.
  • D. The LLM directly ans wers the user's question without accessing external information.

Answer: A,C


NEW QUESTION # 12
You want to assign urgency and sentiment categories to a large number of customer emails. You want to get a valid json string output for creating custom applications. You decide to develop a prompt for the same using generative Al hub.
What is the main purpose of the following code in this context?
prompt_test = """Your task is to extract and categorize messages. Here are some examples:
{{?technique_examples}}
Use the examples when extract and categorize the following message:
{{?input}}
Extract and return a json with the following keys and values:
- "urgency" as one of {{?urgency}}
- "sentiment" as one of {{?sentiment}}
"categories" list of the best matching support category tags from: {{?categories}} Your complete message should be a valid json string that can be read directly and only contains the keys mentioned in t import random random.seed(42) k = 3 examples random. sample (dev_set, k) example_template = """<example> {example_input} examples
'n---n'.join([example_template.format(example_input=example ["message"], example_output=json.dumps (example[ f_test = partial (send_request, prompt=prompt_test, technique_examples examples, **option_lists) response = f_test(input=mail["message"])

  • A. Preprocess a dataset for machine learning
  • B. Generate random examples for language model training
  • C. Evaluate the performance of a language model using few-shot learning
  • D. Train a language model from scratch

Answer: C


NEW QUESTION # 13
What are some functionalities provided by SAP Al Core?
Note: There are 3 correct answers to this question.

  • A. Management of SAP S/4HANA cloud infrastructure
  • B. Orchestration of Al workflows such as model training and inference
  • C. Integration of Al services with business applications using a standardized API
  • D. Monitoring and retraining models in SAP Al Core
  • E. Continuous delivery and tenant isolation for scalability

Answer: B,C,E


NEW QUESTION # 14
How can few-shot learning enhance LLM performance?

  • A. By offering input-output pairs that exemplify the desired behavior
  • B. By providing a large training set to improve generalization
  • C. By reducing overfitting through regularization techniques
  • D. By enhancing the model's computational efficiency

Answer: A


NEW QUESTION # 15
How does SAP ensure the enterprise-readiness of its Al solutions?

  • A. By ensuring that Al models make bias-free decisions without human input
  • B. By implementing rigorous product standards for Al capabilities
  • C. By using generic Al models without business context complying with Al ethics standards

Answer: B

Explanation:
SAP ensures the enterprise-readiness of its AI solutions through the implementation of rigorous product standards:
1. Rigorous Product Standards for AI Capabilities:
* Development Guidelines:SAP adheres to strict guidelines during the development of AI systems, ensuring they meet high standards of quality, security, and performance.
* Ethical Framework:SAP's AI Ethics Policy governs the development, deployment, use, and sale of AI systems, defining clear ethical rules aligned with global standards.
* Compliance and Governance:SAP has established governance bodies and processes to oversee AI ethics, ensuring that AI solutions are developed and deployed responsibly.


NEW QUESTION # 16
......

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