2025 SAP C_AIG_2412: SAP CERTIFIED ASSOCIATE - SAP GENERATIVE AI DEVELOPER–PASS-SURE EXAM SAMPLE

2025 SAP C_AIG_2412: SAP Certified Associate - SAP Generative AI Developer–Pass-Sure Exam Sample

2025 SAP C_AIG_2412: SAP Certified Associate - SAP Generative AI Developer–Pass-Sure Exam Sample

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SAP C_AIG_2412 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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 evaluated.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q60-Q65):

NEW QUESTION # 60
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 can run entire business operations without human intervention.
  • B. It lowers barriers to adoption.
  • C. It can replicate complex technical skills without training or quality control.
  • D. It only requires natural language skills to use.

Answer: B,D


NEW QUESTION # 61
Which of the following must you do before connecting to a dataset in order to train a machine learning model in SAP Al Core?
Note: There are 2 correct answers to this question.

  • A. Provide the storage secret to access the dataset.
  • B. Store the dataset in a hyperscaler object store.
  • C. Grant access rights to the SAP BTP cockpit.
  • D. Store the dataset in the SAP HANA Vector Engine.

Answer: A,B


NEW QUESTION # 62
What is a Large Language Model (LLM)?

  • A. A gradient boosted decision tree algorithm for predicting text.
  • B. A database system optimized for storing large volumes of textual data.
  • C. A rule-based expert system to analyze and generate grammatically correct sentences.
  • D. An Al model that specializes in processing, understanding, and generating human language.

Answer: D


NEW QUESTION # 63
Which of the following is unique about SAP's approach to Al?

  • A. Utilizing Al mainly for marketing purposes.
  • B. SAP's deep integration of Al with business processes and analytics.
  • C. Focusing Al solely on customer support services.
  • D. Offering Al capabilities in their future products as of 2025.

Answer: B


NEW QUESTION # 64
Which of the following are features of the SAP AI Foundation?
Note: There are 2 correct answers to this question.

  • A. Joule integration in SAP SuccessFactors
  • B. Open source Al model repository
  • C. Ready-to-use Al services
  • D. Al runtimes and lifecycle management

Answer: C,D


NEW QUESTION # 65
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