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NEW QUESTION 47
A Machine Learning Specialist trained a regression model, but the first iteration needs optimizing.
The Specialist needs to understand whether the model is more frequently overestimating or underestimating the target.
What option can the Specialist use to determine whether it is overestimating or underestimating the target value?

• A. Confusion matrix
• B. Root Mean Square Error (RMSE)
• C. Area under the curve
• D. Residual plots

Answer: D

Explanation:
https://docs.aws.amazon.com/machine-learning/latest/dg/regression-model-insights.html

NEW QUESTION 48
A Machine Learning Specialist is training a model to identify the make and model of vehicles in images The Specialist wants to use transfer learning and an existing model trained on images of general objects The Specialist collated a large custom dataset of pictures containing different vehicle makes and models

• A. Initialize the model with pre-trained weights in all layers including the last fully connected layer
• B. Initialize the model with random weights in all layers and replace the last fully connected layer
• C. Initialize the model with pre-trained weights in all layers and replace the last fully connected layer.
• D. Initialize the model with random weights in all layers including the last fully connected layer

Answer: A

NEW QUESTION 49
Example Corp has an annual sale event from October to December. The company has sequential sales data from the past 15 years and wants to use Amazon ML to predict the sales for this year's upcoming event. Which method should Example Corp use to split the data into a training dataset and evaluation dataset?

• A. Have Amazon ML split the data sequentially.
• B. Have Amazon ML split the data randomly.
• C. Pre-split the data before uploading to Amazon S3
• D. Perform custom cross-validation on the data

Answer: A

NEW QUESTION 50
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