Free Amazon MLS-C01 Exam Questions
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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: Feb 19, 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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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
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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.)
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Question 2
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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 be fraudulentHow should the Specialist frame this business problem'?
Answer: A
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Question 3
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A company has an ecommerce website with a product recommendation engine built in TensorFlow. The recommendation engine endpoint is hosted by Amazon SageMaker. Three compute-optimized instances support the expected peak load of the website.Response times on the product recommendation page are increasing at the beginning of each month. Some users are encountering errors. The website receives the majority of its traffic between 8 AM and 6 PM on weekdays in a single time zone.Which of the following options are the MOST effective in solving the issue while keeping costs to a minimum? (Choose two.)
Answer: B,D
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Question 4
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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
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Question 5
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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
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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.