AWS Certified Machine Learning – Specialty — Question 122

A logistics company needs a forecast model to predict next month's inventory requirements for a single item in 10 warehouses. A machine learning specialist uses
Amazon Forecast to develop a forecast model from 3 years of monthly data. There is no missing data. The specialist selects the DeepAR+ algorithm to train a predictor. The predictor means absolute percentage error (MAPE) is much larger than the MAPE produced by the current human forecasters.
Which changes to the CreatePredictor API call could improve the MAPE? (Choose two.)

Answer options

• A. Set PerformAutoML to true.
• B. Set ForecastHorizon to 4.
• C. Set ForecastFrequency to W for weekly.
• D. Set PerformHPO to true.
• E. Set FeaturizationMethodName to filling.

Correct answer: A, D

Explanation

Enabling PerformAutoML can help the model automatically find the best algorithm and parameters, potentially improving MAPE. Similarly, enabling PerformHPO (Hyperparameter Optimization) allows for fine-tuning the model's hyperparameters, which can also enhance accuracy. The other options either do not directly influence the model's performance or are not relevant to improving MAPE in this context.