MLS-C01 · Question #39
A city wants to monitor its air quality to address the consequences of air pollution. A Machine Learning Specialist needs to forecast the air quality in parts per million of contaminates for the next
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Question
A city wants to monitor its air quality to address the consequences of air pollution. A Machine Learning Specialist needs to forecast the air quality in parts per million of contaminates for the next 2 days in the city. As this is a prototype, only daily data from the last year is available. Which model is MOST likely to provide the best results in Amazon SageMaker?
Options
- AUse the Amazon SageMaker k-Nearest-Neighbors (kNN) algorithm on the single time series
- BUse Amazon SageMaker Random Cut Forest (RCF) on the single time series consisting of the full
- CUse the Amazon SageMaker Linear Learner algorithm on the single time series consisting of the
- DUse the Amazon SageMaker Linear Learner algorithm on the single time series consisting of the
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