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C_AIG_2412 Test Book | C_AIG_2412 Valid Exam Pattern

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q16-Q21):

NEW QUESTION # 16
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. Perform manual data integration with SAP HANA.
B. Define the required infrastructure resources for training.
C. Configure the training pipeline using templates.
D. Register the input dataset in SAP AI Core.
E. Configure the model deployment in SAP Al Launchpad.

Answer: B,C,D

NEW QUESTION # 17
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. Adopt best practice pricing strategies, such as outcome-based pricing
B. Use pricing models that have fixed rates irrespective of the usage patterns
C. Avoid subscription-based pricing models
D. Weigh the cost of using advanced models against the expected return on investment

Answer: A,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 # 18
What are some use cases for fine-tuning of a model? Note: There are 2 correct answers to this question.

A. To sanitize model outputs
B. To customize outputs for specific types of inputs
C. To quickly create iterations on a new use case
D. To introduce new knowledge to a model in a resource-efficient way

Answer: B,D

NEW QUESTION # 19
What are some benefits of using an SDK for evaluating prompts within the context of generative Al? Note: There are 3 correct answers to this question.

A. Automating prompt testing across various scenarios
B. Supporting low code evaluations using graphical user interface
C. Creating custom evaluators that meet specific business needs
D. Maintaining data privacy by using data masking techniques
E. Providing metrics to quantitatively assess response quality

Answer: A,C,E

NEW QUESTION # 20
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 using generic Al models without business context complying with Al ethics standards
C. By implementing rigorous product standards for Al capabilities

Answer: C

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 # 21
......

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