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: 385
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Updated On: Mar 26, 2025
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Rated: 4.9 |
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Online Users: 770
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Question 1
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A retail company uses a machine learning (ML) model for daily sales forecasting. The model has provided inaccurate results for the past 3 weeks. At the end of each day, an AWS Glue job consolidates the input data that is used for the forecasting with the actual daily sales data and the predictions of the model. The AWS Glue job stores the data in Amazon S3.
The company's ML team determines that the inaccuracies are occurring because of a change in the value distributions of the model features. The ML team must implement a solution that will detect when this type of change occurs in the future.
Which solution will meet these requirements with the LEAST amount of operational overhead?
Answer: A
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A retail company uses a machine learning (ML) model for daily sales forecasting. The model has provided inaccurate results for the past 3 weeks. At the end of each day, an AWS Glue job consolidates the input data that is used for the forecasting with the actual daily sales data and the predictions of the model. The AWS Glue job stores the data in Amazon S3.
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Question 2
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A retail company uses a machine learning (ML) model for daily sales forecasting. The model has provided inaccurate results for the past 3 weeks. At the end of each day, an AWS Glue job consolidates the input data that is used for the forecasting with the actual daily sales data and the predictions of the model. The AWS Glue job stores the data in Amazon S3.
The company's ML team determines that the inaccuracies are occurring because of a change in the value distributions of the model features. The ML team must implement a solution that will detect when this type of change occurs in the future.
Which solution will meet these requirements with the LEAST amount of operational overhead?
Answer: A
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A retail company uses a machine learning (ML) model for daily sales forecasting. The model has provided inaccurate results for the past 3 weeks. At the end of each day, an AWS Glue job consolidates the input data that is used for the forecasting with the actual daily sales data and the predictions of the model. The AWS Glue job stores the data in Amazon S3.
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Question 3
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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
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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?
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Question 4
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A Machine Learning Specialist is assigned a TensorFlow project using Amazon SageMaker for training, and needs to continue working for an extended period with no Wi-Fi access.Which approach should the Specialist use to continue working?
Answer: B
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Question 5
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An ecommerce company sends a weekly email newsletter to all of its customers. Management has hired a team of writers to create additional targeted content. A data scientist needs to identify five customer segments based on age, income, and location. The customers' current segmentation is unknown. The data scientist previously built an XGBoost model to predict the likelihood of a customer responding to an email based on age, income, and location.Why does the XGBoost model NOT meet the current requirements, and how can this be fixed?
Answer: C
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