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Amazon MLS-C01 Exam - Topic 2 Question 43 Discussion

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 availableWhich model is MOST likely to provide the best results in Amazon SageMaker?
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.
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.
B) Use Amazon SageMaker Random Cut Forest (RCF) on the single time series consisting of the full year of data.
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.

Amazon MLS-C01 Exam - Topic 2 Question 43 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 43
Topic #: 2
[All MLS-C01 Questions]

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?

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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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Arlette
7 months ago
Linear Learner is solid, but I wonder about the classifier option in D.
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Jenelle
7 months ago
RCF seems interesting, but I’m not sure it’s the best for this.
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Jerry
8 months ago
Wait, can kNN really handle time series data effectively?
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Clarinda
8 months ago
Definitely agree, linear models work well with time series!
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Danica
8 months ago
I think option C is the way to go for regression tasks.
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Shoshana
8 months ago
I feel pretty confident about this one. The question is asking for two approaches, and I think Options C and D both look like solid solutions that meet the requirements.
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Virgina
8 months ago
Self-organization is key here. We have the skills and knowledge on the team to break down these user stories and figure out the necessary tasks. No need to involve the Scrum Master or customer just yet.
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Kami
8 months ago
Hmm, I'm a little unsure about where exactly to find the Return Reason Codes setup. I'll need to do some searching in the Dynamics 365 portal to locate that. Hopefully it's not buried too deep in the menus.
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Mignon
8 months ago
I think statement I is correct because I remember learning that the present value of unpaid installments can be included in the estate.
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