Task 2.2: Train and Refine Models MLA-C01 Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   What is a key difference between random search and Bayesian optimization for hyperparameter tuning?

   • ARandom search always finds the optimal hyperparameters, while Bayesian optimization only finds a local optimum.
   • BRandom search is only applicable to continuous hyperparameters, while Bayesian optimization only works with discrete hyperparameters.
   • CRandom search samples hyperparameters independently without using past results, while Bayesian optimization uses past evaluations to choose promising hyperparameters.
   • DRandom search requires more computational resources than Bayesian optimization in all cases.
   Reveal Solution Discussion Select an answer first
2. 2foundation · easy

   Which regularization technique adds a penalty term proportional to the square of the weight values to the loss function?

   • ADropout
   • BL1 regularization
   • CData augmentation
   • DL2 regularization (weight decay)
   Reveal Solution Discussion Select an answer first
4. 3foundation · easy

   Which approach is most likely to improve model performance by creating new input features from existing ones?

   • ADistributed training
   • BEarly stopping
   • CFeature engineering
   • DModel pruning
   Reveal Solution Discussion Select an answer first
5. 4foundation · easy

   What is SageMaker script mode?

   • AA method to run Jupyter notebooks directly as training jobs.
   • BA way to deploy models without writing any code.
   • CA feature that automatically generates training scripts from a dataset.
   • DA way to run custom training scripts with supported deep learning frameworks like TensorFlow and PyTorch in SageMaker.
   Reveal Solution Discussion Select an answer first
6. 5foundation · easy

   Which technique is used to improve model performance by creating new training samples through transformations of existing data?

   • AHyperparameter tuning
   • BEarly stopping
   • CData augmentation
   • DModel pruning
   Reveal Solution Discussion Select an answer first