Exam AWS Certified Machine Learning - Specialty topic 1 question 69 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty

Question #: 69
Topic #: 1

[All AWS Certified Machine Learning - Specialty Questions]

A large consumer goods manufacturer has the following products on sale:
* 34 different toothpaste variants
* 48 different toothbrush variants
* 43 different mouthwash variants
The entire sales history of all these products is available in Amazon S3. Currently, the company is using custom-built autoregressive integrated moving average
(ARIMA) models to forecast demand for these products. The company wants to predict the demand for a new product that will soon be launched.
Which solution should a Machine Learning Specialist apply?

A. Train a custom ARIMA model to forecast demand for the new product.
B. Train an Amazon SageMaker DeepAR algorithm to forecast demand for the new product.
C. Train an Amazon SageMaker k-means clustering algorithm to forecast demand for the new product.
D. Train a custom XGBoost model to forecast demand for the new product.

Show Suggested Answer

Suggested Answer: B 🗳️

by ac427 at March 22, 2020, 11:19 p.m.

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Comments

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HaiHN

Highly Voted 3 years, 10 months ago

B https://docs.aws.amazon.com/sagemaker/latest/dg/deepar.html "...When your dataset contains hundreds of related time series, DeepAR outperforms the standard ARIMA and ETS methods. You can also use the trained model to generate forecasts for new time series that are similar to the ones it has been trained on."

upvoted 18 times

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ninomfr64

Most Recent 1 year, 1 month ago

Selected Answer: B

"You can also use the trained model to generate forecasts for new time series that are similar to the ones it has been trained on" https://docs.aws.amazon.com/sagemaker/latest/dg/deepar.html

upvoted 1 times

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james2033

1 year, 5 months ago

Selected Answer: B

'autoregressive integrated moving average (ARIMA)' <--> DeepAR. https://docs.aws.amazon.com/sagemaker/latest/dg/deepar.html

upvoted 1 times

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loict

1 year, 11 months ago

Selected Answer: B

B - DeepAR is based on GluonTS, and can use multiple time series for learning

upvoted 1 times

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Mickey321

1 year, 11 months ago

Selected Answer: B

Option B

upvoted 1 times

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Valcilio

2 years, 5 months ago

Selected Answer: B

DeepAr for new products forever!

upvoted 4 times

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AjoseO

2 years, 6 months ago

Selected Answer: B

The DeepAR algorithm is a powerful time series forecasting algorithm that is designed to handle multiple time series data and can handle irregularly spaced time series data and missing values, making it a good fit for this task. Additionally, the large amount of sales history data available in Amazon S3 makes the use of a deep learning algorithm like DeepAR more appropriate.

upvoted 2 times

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