A City Wants to Monitor Its Air Quality to Address

question 12

Multiple Choice

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?

• A) Use 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 . Use 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 .
• B) Use Amazon SageMaker Random Cut Forest (RCF) on the single time series consisting of the full year of data.
• C) Use the Amazon SageMaker Linear Learner algorithm on the single time series consisting of the full year of data with a predictor_type of regressor . Use the Amazon SageMaker Linear Learner algorithm on the single time series consisting of the full year of data with a
• D) Use the Amazon SageMaker Linear Learner algorithm on the single time series consisting of the full year of data with a predictor_type of classifier . classifier

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Definitions:

Surplus

At a given price, the amount by which quantity supplied exceeds quantity demanded; a surplus usually forces the price down.

Supply Curve

A graph showing the relationship between the price of a good and the quantity of the good that producers are willing to supply.

Lobster Farms

Aquaculture facilities dedicated to the breeding, raising, and harvesting of lobsters for commercial use and consumption.

Algae

A diverse group of photosynthetic organisms that are not necessarily closely related, and that live in a variety of water environments.