Amazon (MLS-C01) Exam Questions And Answers page 21
The displayed graph is from a forecasting model for testing a time series.
Considering the graph only, which conclusion should a Machine Learning Specialist make about the behavior of the model?
Considering the graph only, which conclusion should a Machine Learning Specialist make about the behavior of the model?
The model predicts both the trend and the seasonality well
The model predicts the trend well, but not the seasonality.
The model does not predict the trend or the seasonality well.
Model Development
Machine Learning Implementation and Operations
This graph shows the training and validation loss against the epochs for a neural network.
The network being trained is as follows:
• Two dense layers, one output neuron
• 100 neurons in each layer
• 100 epochs
• Random initialization of weights
Which technique can be used to improve model performance in terms of accuracy in the validation set?
The network being trained is as follows:
• Two dense layers, one output neuron
• 100 neurons in each layer
• 100 epochs
• Random initialization of weights
Which technique can be used to improve model performance in terms of accuracy in the validation set?
Early stopping
Random initialization of weights with appropriate seed
Increasing the number of epochs
Adding another layer with the 100 neurons
Model Development
Machine Learning Implementation and Operations
This graph shows the training and validation loss against the epochs for a neural network.
The network being trained is as follows:
• Two dense layers, one output neuron
• 100 neurons in each layer
• 100 epochs
• Random initialization of weights
Which technique can be used to improve model performance in terms of accuracy in the validation set?
The network being trained is as follows:
• Two dense layers, one output neuron
• 100 neurons in each layer
• 100 epochs
• Random initialization of weights
Which technique can be used to improve model performance in terms of accuracy in the validation set?
Early stopping
Random initialization of weights with appropriate seed
Increasing the number of epochs
Adding another layer with the 100 neurons
Model Development
Machine Learning Implementation and Operations
When submitting Amazon SageMaker training jobs using one of the built-in algorithms, which common parameters MUST be specified? (Choose three.)
The training channel identifying the location of training data on an Amazon S3 bucket.
The validation channel identifying the location of validation data on an Amazon S3 bucket.
The IAM role that Amazon SageMaker can assume to perform tasks on behalf of the users.
Hyperparameters in a JSON array as documented for the algorithm used.
The Amazon EC2 instance class specifying whether training will be run using CPU or GPU.
The output path specifying where on an Amazon S3 bucket the trained model will persist.
Model Development
Machine Learning Implementation and Operations
Which of the following metrics should a Machine Learning Specialist generally use to compare/evaluate machine learning classification models against each other?
Recall
Misclassification rate
Mean absolute percentage error (MAPE)
Area Under the ROC Curve (AUC)
Model Development
Machine Learning Implementation and Operations
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