For those seeking AWS Machine Learning practice exams for associate certification, sample questions and practice tests are available to help pass the AWS ML Exam.
To read the latest items from a DynamoDB table with approximately 120 million records from a SageMaker Studio notebook, the options include:
When tuning a binary classifier’s threshold to maximize correct positives and negatives on a validation set, the metric to optimize is the Area under the ROC curve (AUC-ROC).
Area under the ROC curve (AUC-ROC) is the key metric for optimizing binary classifiers.
Cost Explorer capabilities that help analyze SageMaker spend and forecast future costs include:
Author's summary: Practice exams for AWS Machine Learning associate certification.