Free Amazon MLS-C01 Exam Questions

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

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Total 385 Questions | Updated On: Mar 26, 2025
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Question 1

A retail company is selling products through a global online marketplace. The company wants to use machine learning (ML) to analyze customer feedback and identify specific areas for improvement. A developer has built a tool that collects customer reviews from the online marketplace and stores them in an Amazon S3 bucket. This process yields a dataset of 40 reviews. A data scientist building the ML models must identify additional sources of data to increase the size of the dataset.
Which data sources should the data scientist use to augment the dataset of reviews? (Choose three.)


Answer: A,B,D
Question 2

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 3

A data scientist has been running an Amazon SageMaker notebook instance for a few weeks. During this time, a new version of Jupyter Notebook was released along with additional software updates. The security team mandates that all running SageMaker notebook instances use the latest security and software updates provided by SageMaker.
How can the data scientist meet this requirements?


Answer: C
Question 4

A data engineer is using AWS Glue to create optimized, secure datasets in Amazon S3. The data science team wants the ability to access the ETL scripts directly from Amazon SageMaker notebooks within a VPC. After this setup is complete, the data science team wants the ability to run the AWS Glue job and invoke the SageMaker training job. Which combination of steps should the data engineer take to meet these requirements? (Choose three.)


Answer: A,D,F
Question 5

A company is running a machine learning prediction service that generates 100 TB of predictions every day A Machine Learning Specialist must generate a visualization of the daily precision-recall curve from the predictions, and forward a read-only version to the Business team.
Which solution requires the LEAST coding effort?


Answer: C
Page:    1 / 77      
Total 385 Questions | Updated On: Mar 26, 2025
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