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: Feb 19, 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.)

A : InferenceLatency

B : Mean squared error (MSE)

C : Root mean squared error (RMSE)

D : Precision

E : Accuracy

Answer: B,C

Question 2

Given the following confusion matrix for a movie classification model, what is the true class frequency for Romance and the predicted class frequency for Adventure?

A : true class frequency for Romance is 77.56% and the predicted class frequency for Adventure is 20 85%

B : true class frequency for Romance is 57.92% and the predicted class frequency for Adventure is 1312%

C : true class frequency for Romance is 0 78 and the predicted class frequency for Adventure is (0 47 - 0.32).

D : true class frequency for Romance is 77.56% * 0.78 and the predicted class frequency for Adventure is 20 85% ' 0.32

Answer: B

Question 3

A Data Scientist needs to analyze employment dat

a. The dataset contains approximately 10 million

observations on people across 10 different features. During the preliminary analysis, the Data Scientist notices

that income and age distributions are not normal. While income levels shows a right skew as expected, with

fewer individuals having a higher income, the age distribution also show a right skew, with fewer older

individuals participating in the workforce.

Which feature transformations can the Data Scientist apply to fix the incorrectly skewed data? (Choose two.)

A : oss-validation

B : merical value binning

C : gh-degree polynomial transformation

D : garithmic transformation

E : hot encoding

Answer: A,B

Question 4

A Machine Learning Specialist is attempting to build a linear regression model.

Given the displayed residual plot only, what is the MOST likely problem with the model?

A : Linear regression is inappropriate. The residuals do not have constant variance.

B : Linear regression is inappropriate. The underlying data has outliers.

C : Linear regression is appropriate. The residuals have a zero mean.

D : Linear regression is appropriate. The residuals have constant variance.

Answer: D

Question 5

A Machine Learning Specialist works for a credit card processing company and needs to predict which

transactions may be fraudulent in near-real time. Specifically, the Specialist must train a model that returns the

probability that a given transaction may fraudulent.

How should the Specialist frame this business problem?

A : reaming classification

B : nary classification

C : lti-category classification

D : gression classification

Answer: C

Page: 1 / 79

Total 392 Questions | Updated On: Feb 19, 2026

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