Amazon Web Services Related Exams
MLS-C01 Exam

The Amazon Web Services MLS-C01 exam is ideal for individuals with at least two years of hands-on experience developing, architecting, and running machine learning (ML) or deep learning (DL) workloads on the AWS Cloud. It caters to professionals like:
The Amazon Web Services MLS-C01 exam delves into various aspects of building, training, deploying, and managing ML workloads on AWS. Key areas include:
Here's a comparison between the Amazon Web Services Certified Machine Learning - Specialty (MLS-C01) Exam and the Amazon Web Services Certified Alexa Skill Builder - Specialty (AXS-C01) Exam:
An e-commerce company needs a customized training model to classify images of its shirts and pants products The company needs a proof of concept in 2 to 3 days with good accuracy Which compute choice should the Machine Learning Specialist select to train and achieve good accuracy on the model quickly?
A credit card company wants to build a credit scoring model to help predict whether a new credit card applicant
will default on a credit card payment. The company has collected data from a large number of sources with
thousands of raw attributes. Early experiments to train a classification model revealed that many attributes are
highly correlated, the large number of features slows down the training speed significantly, and that there are
some overfitting issues.
The Data Scientist on this project would like to speed up the model training time without losing a lot of
information from the original dataset.
Which feature engineering technique should the Data Scientist use to meet the objectives?
An ecommerce company has used Amazon SageMaker to deploy a factorization machines (FM) model to suggest products for customers. The company's data science team has developed two new models by using the TensorFlow and PyTorch deep learning frameworks. The company needs to use A/B testing to evaluate the new models against the deployed model.
...required A/B testing setup is as follows:
• Send 70% of traffic to the FM model, 15% of traffic to the TensorFlow model, and 15% of traffic to the Py Torch model.
• For customers who are from Europe, send all traffic to the TensorFlow model
..sh architecture can the company use to implement the required A/B testing setup?