Free Amazon MLS-C01 Exam Questions

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

Page:    1 / 79      
Total 392 Questions | Updated On: Jan 12, 2026
Add To Cart
Question 1

A bank wants to use a machine learning (ML) model to predict if users will default on credit card payments. The
training data consists of 30,000 labeled records and is evenly balanced between two categories. For the model,
an ML specialist selects the Amazon SageMaker built-in XGBoost algorithm and configures a SageMaker
automatic hyperparameter optimization job with the Bayesian method. The ML specialist uses the validation
accuracy as the objective metric.
When the bank implements the solution with this model, the prediction accuracy is 75%. The bank has given
the ML specialist 1 day to improve the model in production.
Which approach is the FASTEST way to improve the model's accuracy?


Answer: A
Question 2

A Machine Learning Specialist is building a prediction model for a large number of features using linear models, such as linear regression and logistic regression During exploratory data analysis the Specialist observes that many features are highly correlated with each other This may make the model unstable
What should be done to reduce the impact of having such a large number of features?


Answer: C
Question 3

A geospatial analysis company processes thousands of new satellite images each day to produce vessel detection data for commercial shipping. The company stores the training data in Amazon S3. The training data incrementally increases in size with new images each day. The company has configured an Amazon SageMaker training job to use a single ml.p2.xlarge instance with File input mode to train the built-in Object Detection algorithm. The training process was successful last month but is now failing because of a lack of storage. Aside from the addition of training data, nothing has changed in the model training process. A machine learning (ML) specialist needs to change the training configuration to fix the problem. The solution must optimize performance and must minimize the cost of training. Which solution will meet these requirements?


Answer: C
Question 4

A machine learning (ML) specialist at a manufacturing company uses Amazon SageMaker DeepAR to forecast input materials and energy requirements for the company. Most of the data in the training dataset is missing values for the target variable. The company stores the training dataset as JSON files.

The ML specialist develop a solution by using Amazon SageMaker DeepAR to account for the missing values in the training dataset.

Which approach will meet these requirements with the LEAST development effort?


Answer: D
Question 5

A financial services company wants to automate its loan approval process by building a machine learning (ML) model. Each loan data point contains credit history from a third-party data source and demographic information about the customer. Each loan approval prediction must come with a report that contains an explanation for why the customer was approved for a loan or was denied for a loan. The company will use Amazon SageMaker to build the model. Which solution will meet these requirements with the LEAST development effort? 


Answer: A
Page:    1 / 79      
Total 392 Questions | Updated On: Jan 12, 2026
Add To Cart

© Copyrights DumpsCertify 2026. All Rights Reserved

We use cookies to ensure your best experience. So we hope you are happy to receive all cookies on the DumpsCertify.