|AWS Certified Machine Learning - Specialty
|Amazon Web Services
|AWS Certified Specialty
A Machine Learning Specialist is given a structured dataset on the shopping habits of a company’s customer
base. The dataset contains thousands of columns of data and hundreds of numerical columns for each
customer. The Specialist wants to identify whether there are natural groupings for these columns across all
customers and visualize the results as quickly as possible.
What approach should the Specialist take to accomplish these tasks?
A Machine Learning Specialist is designing a scalable data storage solution for Amazon SageMaker. There is an existing TensorFlow-based model implemented as a train.py script that relies on static training data that is currently stored as TFRecords.
Which method of providing training data to Amazon SageMaker would meet the business requirements with the LEAST development overhead?
An interactive online dictionary wants to add a widget that displays words used in similar contexts. A Machine Learning Specialist is asked to provide word features for the downstream nearest neighbor model powering the widget.
What should the Specialist do to meet these requirements?
An ecommerce company sends a weekly email newsletter to all of its customers. Management has hired a team of writers to create additional targeted content. A data scientist needs to identify five customer segments based on age, income, and location. The customers’ current segmentation is unknown. The data scientist previously built an XGBoost model to predict the likelihood of a customer responding to an email based on age, income, and location.
Why does the XGBoost model NOT meet the current requirements, and how can this be fixed?