Exam Name: | AWS Certified Machine Learning - Specialty | ||
Exam Code: | MLS-C01 Dumps | ||
Vendor: | Amazon Web Services | Certification: | AWS Certified Specialty |
Questions: | 322 Q&A's | Shared By: | zayaan |
A Machine Learning Specialist deployed a model that provides product recommendations on a company's website Initially, the model was performing very well and resulted in customers buying more products on average However within the past few months the Specialist has noticed that the effect of product recommendations has diminished and customers are starting to return to their original habits of spending less The Specialist is unsure of what happened, as the model has not changed from its initial deployment over a year ago
Which method should the Specialist try to improve model performance?
An insurance company developed a new experimental machine learning (ML) model to replace an existing model that is in production. The company must validate the quality of predictions from the new experimental model in a production environment before the company uses the new experimental model to serve general user requests.
Which one model can serve user requests at a time. The company must measure the performance of the new experimental model without affecting the current live traffic
Which solution will meet these requirements?
A manufacturing company has a large set of labeled historical sales data The manufacturer would like to predict how many units of a particular part should be produced each quarter Which machine learning approach should be used to solve this problem?
A Data Scientist is building a model to predict customer churn using a dataset of 100 continuous numerical
features. The Marketing team has not provided any insight about which features are relevant for churn
prediction. The Marketing team wants to interpret the model and see the direct impact of relevant features on
the model outcome. While training a logistic regression model, the Data Scientist observes that there is a wide
gap between the training and validation set accuracy.
Which methods can the Data Scientist use to improve the model performance and satisfy the Marketing team’s
needs? (Choose two.)