Free Amazon MLS-C01 Exam Questions

Become Amazon Certified with updated MLS-C01 exam questions and correct answers

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Total 392 Questions | Updated On: Jan 29, 2026
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Question 1

A data scientist is building a new model for an ecommerce company. The model will predict how many minutes it will take to deliver a package. During model training, the data scientist needs to evaluate model performance. Which metrics should the data scientist use to meet this requirement? (Select TWO.) 


Answer: B,C
Question 2

A company is using Amazon SageMaker to build a machine learning (ML) model to predict customer churn based on customer call transcripts. Audio files from customer calls are located in an on-premises VoIP system that has petabytes of recorded calls. The on-premises infrastructure has high-velocity networking and connects to the company's AWS infrastructure through a VPN connection over a 100 Mbps connection. The company has an algorithm for transcribing customer calls that requires GPUs for inference. The company wants to store these transcriptions in an Amazon S3 bucket in the AWS Cloud for model development. Which solution should an ML specialist use to deliver the transcriptions to the S3 bucket as quickly as possible?


Answer: D
Question 3

The displayed graph is from a foresting model for testing a time series.

1
Considering the graph only, which conclusion should a Machine Learning Specialist make about the behavior of the model?


Answer: D
Question 4

A Data Scientist is developing a machine learning model to predict future patient outcomes based on information collected about each patient and their treatment plans. The model should output a continuous value as its prediction. The data available includes labeled outcomes for a set of 4,000 patients. The study was conducted on a group of individuals over the age of 65 who have a particular disease that is known to worsen with age.
Initial models have performed poorly. While reviewing the underlying data, the Data Scientist notices that, out of 4,000 patient observations, there are 450 where the patient age has been input as 0. The other features for these observations appear normal compared to the rest of the sample population.
How should the Data Scientist correct this issue?


Answer: B
Question 5

A machine learning specialist works for a fruit processing company and needs to build a system that
categorizes apples into three types. The specialist has collected a dataset that contains 150 images for each
type of apple and applied transfer learning on a neural network that was pretrained on ImageNet with this
dataset.
The company requires at least 85?curacy to make use of the model.
After an exhaustive grid search, the optimal hyperparameters produced the following:
68?curacy on the training set
67?curacy on the validation set
What can the machine learning specialist do to improve the system's accuracy?


Answer: B
Page:    1 / 79      
Total 392 Questions | Updated On: Jan 29, 2026
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