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.

Question

Options

• AAdopt best practice pricing strategies, such as outcome-based pricing
• BWeigh the cost of using advanced models against the expected return on investment
• CAvoid subscription-based pricing models
• DUse pricing models that have fixed rates irrespective of the usage patterns

• B
  83% (29)
• C
  11% (4)
• D
  6% (2)

Explanation

B and A are correct because SAP recommends a financially informed approach to generative AI hub usage: you should always weigh the cost of advanced models against expected ROI (B), ensuring you're not over-spending on powerful models when simpler ones suffice, and you should adopt outcome-based pricing strategies (A), which align costs with the actual business value delivered rather than raw consumption.

C is wrong because SAP does not categorically recommend avoiding subscription-based pricing - subscriptions can be cost-effective depending on usage volume and predictability. D is wrong because fixed-rate pricing regardless of usage patterns is generally inefficient; SAP favors flexibility that adapts to how models are actually used, not one-size-fits-all flat rates.

Memory tip: Think "ROI + Outcome" - SAP's two pillars for pricing evaluation are Return (weigh cost vs. return, option B) and Results (pay for outcomes, option A). Both focus on value, which is the theme to anchor on.

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