AWS Certified Machine Learning - Specialty
Last Update Mar 19, 2023
Total Questions : 208
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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.)
A Machine Learning Specialist needs to move and transform data in preparation for training Some of the data needs to be processed in near-real time and other data can be moved hourly There are existing Amazon EMR MapReduce jobs to clean and feature engineering to perform on the data
Which of the following services can feed data to the MapReduce jobs? (Select TWO )
An insurance company is developing a new device for vehicles that uses a camera to observe drivers' behavior and alert them when they appear distracted The company created approximately 10,000 training images in a controlled environment that a Machine Learning Specialist will use to train and evaluate machine learning models
During the model evaluation the Specialist notices that the training error rate diminishes faster as the number of epochs increases and the model is not accurately inferring on the unseen test images
Which of the following should be used to resolve this issue? (Select TWO)