AWS Certified AI Practitioner AIF-C01 Practice Question
A company is deciding whether to invest in an AI/ML project. In which situation is an AI/ML solution least appropriate and likely to add unnecessary cost and complexity?
The security team needs to detect fraudulent credit card transactions that change over time.
The finance team must calculate quarterly sales tax using fixed percentages defined by law.
The marketing team wants to personalize product recommendations on an e-commerce site.
The supply chain team wants to predict next month's inventory requirements using past sales data.
AI/ML adds value when patterns must be learned from historical data and can change over time, such as fraud detection, demand forecasting, or personalized recommendations. Calculating sales tax, however, follows fixed percentages defined by law. Because the rules are explicit, infrequently updated, and produce a single deterministic answer, a simple rule-based program is cheaper, easier to maintain, and guarantees the exact outcome required for regulatory compliance. Therefore, an AI/ML approach would be unnecessary and unjustified for this task, whereas the other scenarios inherently involve prediction under uncertainty where ML can provide clear benefits.
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Why is AI/ML not suited for calculating quarterly sales tax?
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AWS Certified AI Practitioner AIF-C01
Fundamentals of AI and ML
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