Task 2.2: Train and Refine Models MLA-C01 Practice Questions (Page 7)

Questions 31–35

1. 31foundation · easy

   Which of the following is a primary factor that determines the size of a convolutional neural network (CNN) model?

   • AThe choice of optimizer (e.g., Adam vs. SGD)
   • BThe number of filters in the convolutional layers
   • CThe number of epochs trained
   • DThe color of the input images
   Reveal Solution Discussion Select an answer first
2. 32foundation · easy

   Which technique is specifically designed to reduce model training time by stopping the training process when the model's performance on a validation set stops improving?

   • AFeature scaling
   • BEarly stopping
   • CModel pruning
   • DData augmentation
   Reveal Solution Discussion Select an answer first
4. 33foundation · easy

   Which technique is commonly used to prevent overfitting by reducing the number of input features?

   • AData augmentation
   • BFeature selection
   • CIncreasing the learning rate
   • DIncreasing the number of epochs
   Reveal Solution Discussion Select an answer first
5. 34foundation · easy

   Which SageMaker feature is specifically designed to allow you to train a model using a custom PyTorch training script without building your own Docker container?

   • ASageMaker built-in algorithms
   • BSageMaker Ground Truth
   • CSageMaker script mode with the PyTorch framework
   • DSageMaker Model Registry
   Reveal Solution Discussion Select an answer first
6. 35foundation · easy

   What is the primary symptom of underfitting in a machine learning model?

   • APoor performance on both training and validation data.
   • BExcellent performance on validation data but poor performance on training data.
   • CExcellent performance on training data but poor performance on validation data.
   • DThe model performs well on all data regardless of complexity.
   Reveal Solution Discussion Select an answer first