Manage AI/ML Model Training PMI-CPMAI Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   Why is training data versioning important?

   • ATo increase the size of the dataset
   • BTo maintain reproducibility and traceability of model experiments
   • CTo reduce storage costs
   • DTo speed up training
   Reveal Solution Discussion Select an answer first
2. 17foundation · easy

   In k-fold cross-validation, how is the data split?

   • AThe data is split into a training set and a test set only
   • BThe data is split into a training set and a validation set only
   • CThe data is split randomly into two halves
   • DThe data is divided into k equal-sized folds
   Reveal Solution Discussion Select an answer first
4. 18foundation · easy

   What is the purpose of learning rate scheduling during training?

   • ATo change the model architecture
   • BTo adjust the learning rate over time to improve convergence
   • CTo increase the size of the training dataset
   • DTo reduce the number of features
   Reveal Solution Discussion Select an answer first
5. 19foundation · easy

   Which technique is used to prevent overfitting by adding a penalty to the loss function?

   • ABatch normalization
   • BRegularization
   • CDropout
   • DData augmentation
   Reveal Solution Discussion Select an answer first
6. 20foundation · easy

   What is the primary goal of resource allocation for model training?

   • ATo eliminate the need for GPUs
   • BTo use computational resources efficiently to meet training demands
   • CTo maximize the number of training runs
   • DTo minimize the amount of training data
   Reveal Solution Discussion Select an answer first