Amazon Exam MLS-C01 Topic 2 Question 43 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 43
Topic #: 2

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?

AUse the Amazon SageMaker k-Nearest-Neighbors (kNN) algorithm on the single time series consisting of
the full year of data with a predictor_type of regressor.

BUse Amazon SageMaker Random Cut Forest (RCF) on the single time series consisting of the full year of
data.

CUse the Amazon SageMaker Linear Learner algorithm on the single time series consisting of the full year
of data with a predictor_type of regressor.

DUse the Amazon SageMaker Linear Learner algorithm on the single time series consisting of the full year
of data with a predictor_type of classifier.

Show Suggested Answer

Suggested Answer: C

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

by Timothy at May 09, 2022, 03:56 PM

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