Free Amazon MLS-C01 Exam Questions
Absolute Free MLS-C01 Exam Practice for Comprehensive Preparation
-
Amazon MLS-C01 Exam Questions
-
Provided By: Amazon
- Exam: AWS Certified Machine Learning - Specialty
- Certification: AWS Certified Machine Learning
-
Total Questions: 392
-
Updated On: May 26, 2025
-
Rated: 4.9 |
-
Online Users: 784
-
Question 1
-
A Machine Learning Specialist is assigned a TensorFlow project using Amazon SageMaker for training, and needs to continue working for an extended period with no Wi-Fi access.Which approach should the Specialist use to continue working?
Answer: B
-
-
Question 2
-
A machine learning (ML) specialist is training a multilayer perceptron (MLP) on a dataset with multiple classes. The target class of interest is unique compared to the other classes in the dataset, but it does not achieve an acceptable recall metric. The ML specialist varies the number and size of the MLP's hidden layers, but the results do not improve significantly.
Which solution will improve recall in the LEAST amount of time?
Answer: A
-
A machine learning (ML) specialist is training a multilayer perceptron (MLP) on a dataset with multiple classes. The target class of interest is unique compared to the other classes in the dataset, but it does not achieve an acceptable recall metric. The ML specialist varies the number and size of the MLP's hidden layers, but the results do not improve significantly.
-
Question 3
-
A data scientist is working on a public sector project for an urban traffic system. While studying the traffic patterns, it is clear to the data scientist that the traffic behavior at each light is correlated, subject to a small stochastic error term. The data scientist must model the traffic behavior to analyze the traffic patterns and reduce congestion.How will the data scientist MOST effectively model the problem?
Answer: D
-
-
Question 4
-
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?
Answer: D
-
-
Question 5
-
A company has a podcast platform that has thousands of users. The company has implemented an anomaly
detection algorithm to detect low podcast engagement based on a 10-minute running window of user events
such as listening, pausing, and exiting the podcast. A machine learning (ML) specialist is designing the data
ingestion of these events with the knowledge that the event payload needs some small transformations before
inference.
How should the ML specialist design the data ingestion to meet these requirements with the LEAST operational
overhead?
Answer: B
-
A company has a podcast platform that has thousands of users. The company has implemented an anomaly
detection algorithm to detect low podcast engagement based on a 10-minute running window of user events
such as listening, pausing, and exiting the podcast. A machine learning (ML) specialist is designing the data
ingestion of these events with the knowledge that the event payload needs some small transformations before
inference.
How should the ML specialist design the data ingestion to meet these requirements with the LEAST operational
overhead?