| Exam Name: | AWS Certified Machine Learning - Specialty | ||
| Exam Code: | MLS-C01 Dumps | ||
| Vendor: | Amazon Web Services | Certification: | AWS Certified Specialty |
| Questions: | 307 Q&A's | Shared By: | oisin |
A machine learning (ML) specialist is administering a production Amazon SageMaker endpoint with model monitoring configured. Amazon SageMaker Model Monitor detects violations on the SageMaker endpoint, so the ML specialist retrains the model with the latest dataset. This dataset is statistically representative of the current production traffic. The ML specialist notices that even after deploying the new SageMaker model and running the first monitoring job, the SageMaker endpoint still has violations.
What should the ML specialist do to resolve the violations?
This graph shows the training and validation loss against the epochs for a neural network
The network being trained is as follows
• Two dense layers one output neuron
• 100 neurons in each layer
• 100 epochs
• Random initialization of weights
Which technique can be used to improve model performance in terms of accuracy in the validation set?
A Machine Learning Specialist has completed a proof of concept for a company using a small data sample and now the Specialist is ready to implement an end-to-end solution in AWS using Amazon SageMaker The historical training data is stored in Amazon RDS
Which approach should the Specialist use for training a model using that data?
Given the following confusion matrix for a movie classification model, what is the true class frequency for Romance and the predicted class frequency for Adventure?
TESTED 24 Jan 2025
