AWS Certified AI Practitioner AIF-C01 Practice Question
An organization is deciding whether to adopt an AI/ML approach. Which business challenge is most appropriate for an AI/ML solution instead of a rule-based program?
Reject user passwords that are shorter than eight characters
Compress static website images to reduce download size
Predict next month's electricity demand using several years of hourly usage data
Calculate each employee's overtime pay from hours worked and pay rate
Forecasting future electricity demand is a predictive problem that depends on patterns in historical, time-series data. Such problems benefit from ML algorithms that can learn complex relationships and improve accuracy over time. The other tasks follow fixed, explicit rules: overtime pay is calculated with a known formula, image compression relies on deterministic encoding algorithms, and enforcing a password-length requirement is a simple conditional check. Because these tasks do not involve pattern discovery or prediction, traditional programming is more efficient than ML.
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Why is machine learning better for predicting electricity demand compared to rule-based programming?
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What makes time-series data suitable for machine learning models?
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AWS Certified AI Practitioner AIF-C01
Fundamentals of AI and ML
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