Free Amazon MLS-C01 Exam Questions
Absolute Free MLS-C01 Exam Practice for Comprehensive Preparation
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Amazon MLS-C01 Exam Questions
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Provided By: Amazon
- Exam: AWS Certified Machine Learning - Specialty
- Certification: AWS Certified Machine Learning
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Total Questions: 392
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Updated On: Sep 25, 2026
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Rated: 4.9 |
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Online Users: 784
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Question 1
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n online delivery company wants to choose the fastest courier for each delivery at the moment an order is placed. The company wants to implement this feature for existing users and new users of its application. Data scientists have trained separate models with XGBoost for this purpose, and the models are stored in Amazon S3. There is one model for each city where the company operates.
Operation engineers are hosting these models in Amazon EC2 for responding to the web client requests, with one instance for each model, but the instances have only a 5% utilization in CPU and memory. The operation engineers want to avoid managing unnecessary resources.
Which solution will enable the company to achieve its goal with the LEAST operational overhead?
Answer: B
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n online delivery company wants to choose the fastest courier for each delivery at the moment an order is placed. The company wants to implement this feature for existing users and new users of its application. Data scientists have trained separate models with XGBoost for this purpose, and the models are stored in Amazon S3. There is one model for each city where the company operates.
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Question 2
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A Data Scientist needs to analyze employment data. The dataset contains approximately 10 millionobservations on people across 10 different features. During the preliminary analysis, the Data Scientist noticesthat income and age distributions are not normal. While income levels shows a right skew as expected, withfewer individuals having a higher income, the age distribution also show a right skew, with fewer olderindividuals participating in the workforce.Which feature transformations can the Data Scientist apply to fix the incorrectly skewed data? (Choose two.)
Answer: B,D
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Question 3
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A company maintains a 2 TB dataset that contains information about customer behaviors. The company stores the dataset in Amazon S3. The company stores a trained model container in Amazon Elastic Container Registry (Amazon ECR).
A machine learning (ML) specialist needs to score a batch model for the dataset to predict customer behavior. The ML specialist must select a scalable approach to score the model.
Which solution will meet these requirements MOST cost-effectively?
Answer: B
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A company maintains a 2 TB dataset that contains information about customer behaviors. The company stores the dataset in Amazon S3. The company stores a trained model container in Amazon Elastic Container Registry (Amazon ECR).
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Question 4
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A data scientist at a retail company is forecasting sales for a product over the next 3 months. After preliminary
analysis, the data scientist identifies that sales are seasonal and that holidays affect sales. The data scientist
also determines that sales of the product are correlated with sales of other products in the same category.
The data scientist needs to train a sales forecasting model that incorporates this information.
Which solution will meet this requirement with the LEAST development effort?
Answer: B
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A data scientist at a retail company is forecasting sales for a product over the next 3 months. After preliminary
analysis, the data scientist identifies that sales are seasonal and that holidays affect sales. The data scientist
also determines that sales of the product are correlated with sales of other products in the same category.
The data scientist needs to train a sales forecasting model that incorporates this information.
Which solution will meet this requirement with the LEAST development effort?
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Question 5
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An office security agency conducted a successful pilot using 100 cameras installed at key locations within the main office. Images from the cameras were uploaded to Amazon S3 and tagged using Amazon Rekognition, and the results were stored in Amazon ES. The agency is now looking to expand the pilot into a full production system using thousands of video cameras in its office locations globally. The goal is to identify activities performed by non-employees in real time.Which solution should the agency consider?
Answer: A
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