Amazon MLA-C01 Exam Real Questions

A Machine Learning Specialist is preparing data for training on Amazon SageMaker.The Specialist is using one of the SageMaker built-in algorithms for the training.The dataset is stored in .CSV format and is transformed into a numpy.array, which appears to be negatively affecting the speed of the training.What should the Specialist do to optimize the data for training on SageMaker?

What is the first step in building a machine learning application?

How does the Amazon flywheel model ensure continuous improvement and growth?

Why is it important to estimate the amount of uncertainty in an ML model?

A Data Scientist is training a multilayer perception (MLP) on a dataset with multiple classes.The target class of interest is unique compared to the other classes within the dataset, but it does not achieve an acceptable recall metric.The Data Scientist has already tried varying the number and size of the MLP's hidden layers, which has not significantly improved the results.A solution to improve recall must be implemented as quickly as possible.Which techniques should be used to meet these requirements?