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:
A company has a podcast platform that has thousands of users. The company implemented an algorithm to detect low podcast engagement based on a 10-minute running window of user events such as listening to. pausing, and closing the podcast. A machine learning (ML) specialist is designing the ingestion process for these events. The ML specialist needs to transform the data to prepare the data for inference.
How should the ML specialist design the transformation step to meet these requirements with the LEAST operational effort?
A university wants to develop a targeted recruitment strategy to increase new student enrollment. A data scientist gathers information about the academic performance history of students. The data scientist wants to use the data to build student profiles. The university will use the profiles to direct resources to recruit students who are likely to enroll in the university.
Which combination of steps should the data scientist take to predict whether a particular student applicant is likely to enroll in the university? (Select TWO)
A Machine Learning Specialist is assigned to a Fraud Detection team and must tune an XGBoost model, which is working appropriately for test data. However, with unknown data, it is not working as expected. The existing parameters are provided as follows.

Which parameter tuning guidelines should the Specialist follow to avoid overfitting?