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: Jun 04, 2025
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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 company wants to conduct targeted marketing to sell solar panels to homeowners. The company wants to
use machine learning (ML) technologies to identify which houses already have solar panels. The company has
collected 8,000 satellite images as training data and will use Amazon SageMaker Ground Truth to label the
data.
The company has a small internal team that is working on the project. The internal team has no ML expertise
and no ML experience.
Which solution will meet these requirements with the LEAST amount of effort from the internal team?
Answer: B
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A company wants to conduct targeted marketing to sell solar panels to homeowners. The company wants to
use machine learning (ML) technologies to identify which houses already have solar panels. The company has
collected 8,000 satellite images as training data and will use Amazon SageMaker Ground Truth to label the
data.
The company has a small internal team that is working on the project. The internal team has no ML expertise
and no ML experience.
Which solution will meet these requirements with the LEAST amount of effort from the internal team?
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Question 2
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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 3
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A retail company wants to combine its customer orders with the product description data from its product catalog. The structure and format of the records in each dataset is different. A data analyst tried to use a spreadsheet to combine the datasets, but the effort resulted in duplicate records and records that were not properly combined. The company needs a solution that it can use to combine similar records from the two datasets and remove any duplicates.Which solution will meet these requirements?
Answer: D
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Question 4
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An insurance company developed a new experimental machine learning (ML) model to replace an existing model that is in production. The company must validate the quality of predictions from the new experimental model in a production environment before the company uses the new experimental model to serve general user requests.
New one model can serve user requests at a time. The company must measure the performance of the new experimental model without affecting the current live traffic.
Which solution will meet these requirements?
Answer: D
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An insurance company developed a new experimental machine learning (ML) model to replace an existing model that is in production. The company must validate the quality of predictions from the new experimental model in a production environment before the company uses the new experimental model to serve general user requests.
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Question 5
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A bank wants to use a machine learning (ML) model to predict if users will default on credit card payments. Thetraining 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 SageMakerautomatic hyperparameter optimization job with the Bayesian method. The ML specialist uses the validationaccuracy as the objective metric.When the bank implements the solution with this model, the prediction accuracy is 75%. The bank has giventhe ML specialist 1 day to improve the model in production.Which approach is the FASTEST way to improve the model's accuracy?
Answer: A
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