MLS-C01 · Question #39
MLS-C01 Question #39: Real Exam Question with Answer & Explanation
The correct answer is C: Use the Amazon SageMaker Linear Learner algorithm on the single time series consisting of the. https://aws.amazon.com/blogs/machine-learning/build-a-model-to-predict-the-impact-of-weather- on-urban-air-quality-using-amazon-sagemaker/?ref=Welcome.AI
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
Explanation
https://aws.amazon.com/blogs/machine-learning/build-a-model-to-predict-the-impact-of-weather- on-urban-air-quality-using-amazon-sagemaker/?ref=Welcome.AI
Topics
Community Discussion
No community discussion yet for this question.