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: May 23, 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 Machine Learning Specialist is building a convolutional neural network (CNN) that will classify 10 types of animals. The Specialist has built a series of layers in a neural network that will take an input image of an animal, pass it through a series of convolutional and pooling layers, and then finally pass it through a dense and fully connected layer with 10 nodes The Specialist would like to get an output from the neural network that is a probability distribution of how likely it is that the input image belongs to each of the 10 classesWhich function will produce the desired output?
Answer: C
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Question 2
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A machine learning (ML) specialist is training a multilayer perceptron (MLP) on a dataset with multiple classes. The target class of interest is unique compared to the other classes in the dataset, but it does not achieve an acceptable recall metric. The ML specialist varies the number and size of the MLP's hidden layers, but the results do not improve significantly.
Which solution will improve recall in the LEAST amount of time?
Answer: A
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A machine learning (ML) specialist is training a multilayer perceptron (MLP) on a dataset with multiple classes. The target class of interest is unique compared to the other classes in the dataset, but it does not achieve an acceptable recall metric. The ML specialist varies the number and size of the MLP's hidden layers, but the results do not improve significantly.
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Question 3
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A Data Scientist needs to migrate an existing on-premises ETL process to the cloud The current process runs at regular time intervals and uses PySpark to combine and format multiple large data sources into a single consolidated output for downstream processingThe Data Scientist has been given the following requirements for the cloud solution* Combine multiple data sources* Reuse existing PySpark logic* Run the solution on the existing schedule* Minimize the number of servers that will need to be managedWhich architecture should the Data Scientist use to build this solution?
Answer: B
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Question 4
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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 5
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A Machine Learning Specialist is using Apache Spark for pre-processing training data As part of the Spark pipeline, the Specialist wants to use Amazon SageMaker for training a model and hosting it Which of the following would the Specialist do to integrate the Spark application with SageMaker? (Select THREE )
Answer: B,C,E
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A Machine Learning Specialist is using Apache Spark for pre-processing training data As part of the Spark pipeline, the Specialist wants to use Amazon SageMaker for training a model and hosting it Which of the following would the Specialist do to integrate the Spark application with SageMaker? (Select THREE )