CERTIFICATION C_AIG_2412 SAMPLE QUESTIONS | C_AIG_2412 HIGH QUALITY

Certification C_AIG_2412 Sample Questions | C_AIG_2412 High Quality

Certification C_AIG_2412 Sample Questions | C_AIG_2412 High Quality

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Tags: Certification C_AIG_2412 Sample Questions, C_AIG_2412 High Quality, C_AIG_2412 Guaranteed Questions Answers, C_AIG_2412 Detailed Answers, Reliable C_AIG_2412 Test Book

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Pass Guaranteed Quiz Perfect SAP - C_AIG_2412 - Certification SAP Certified Associate - SAP Generative AI Developer Sample Questions

Our SAP C_AIG_2412 practice exam simulator mirrors the C_AIG_2412 exam experience, so you know what to anticipate on C_AIG_2412 certification exam day. Our SAP Certified Associate - SAP Generative AI Developer (C_AIG_2412) practice test software features various question styles and levels, so you can customize your SAP C_AIG_2412 exam questions preparation to meet your needs.

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 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 3
  • 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 4
  • 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.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q26-Q31):

NEW QUESTION # 26
What are some components of the training pipeline in SAP AI Core?
Note: There are 2 correct answers to this question.

  • A. The SAP HANA database for model storage
  • B. Input datasets stored in a hyperscaler object store
  • C. Automated deployment to Kubernetes clusters
  • D. Executables that define the training process

Answer: B,D


NEW QUESTION # 27
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. Grant access rights to the SAP BTP cockpit.
  • B. Provide the storage secret to access the dataset.
  • C. Store the dataset in the SAP HANA Vector Engine.
  • D. Store the dataset in a hyperscaler object store.

Answer: B,D


NEW QUESTION # 28
What are some SAP recommendations to evaluate pricing and rate information of model usage within SAP's generative Al hub?
Note: There are 2 correct answers to this question.

  • A. Avoid subscription-based pricing models
  • B. Adopt best practice pricing strategies, such as outcome-based pricing
  • C. Use pricing models that have fixed rates irrespective of the usage patterns
  • D. Weigh the cost of using advanced models against the expected return on investment

Answer: B,D

Explanation:
When evaluating pricing and rate information for model usage within SAP's Generative AI Hub, SAP recommends:
1. Adopting Best Practice Pricing Strategies:
* Outcome-Based Pricing:Implementing pricing strategies that align costs with achieved outcomes ensures that expenditures are directly tied to the value derived from AI models.
2. Assessing Cost Against Expected Return on Investment (ROI):
* Cost-Benefit Analysis:Carefully evaluating the expenses associated with advanced models in relation to the anticipated ROI helps in making informed decisions about model selection and usage.
Conclusion:
By adopting best practice pricing strategies and assessing costs against expected ROI, businesses can make informed decisions regarding model usage within SAP's Generative AI Hub, ensuring cost-effectiveness and value alignment.


NEW QUESTION # 29
Which of the following is unique about SAP's approach to Al?

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

Answer: D


NEW QUESTION # 30
What is the primary function of the embedding model in a RAG system?

  • A. To encode queries and documents into vector representations for comparison
  • B. To store vector representations of documents and search for relevant passages
  • C. To evaluate the faithfulness and relevance of generated answers
  • D. To generate responses based on retrieved documents and user queries

Answer: A


NEW QUESTION # 31
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