Free Amazon MLA-C01 Exam Questions
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Amazon MLA-C01 Exam Questions
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Provided By: Amazon
- Exam: AWS Certified Machine Learning Engineer Associate
- Certification: AWS Certified Machine Learning
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Total Questions: 454
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Updated On: May 22, 2026
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Rated: 4.9 |
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Online Users: 908
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Question 1
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A company regularly receives new training data from a vendor of an ML model. The vendor deliverscleaned and prepared data to the companys Amazon S3 bucket every 3“4 days.The company has an Amazon SageMaker AI pipeline to retrain the model. An ML engineer needs torun the pipeline automatically when new data is uploaded to the S3 bucket.Which solution will meet these requirements with the LEAST operational effort?
Answer: C
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A company regularly receives new training data from a vendor of an ML model. The vendor deliverscleaned and prepared data to the companys Amazon S3 bucket every 3“4 days.The company has an Amazon SageMaker AI pipeline to retrain the model. An ML engineer needs torun the pipeline automatically when new data is uploaded to the S3 bucket.Which solution will meet these requirements with the LEAST operational effort?
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Question 2
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A company has historical data that shows whether customers needed long-term support from
company staff. The company needs to develop an ML model to predict whether new customers will
require long-term support.
Which modeling approach should the company use to meet this requirement?
Answer: C
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A company has historical data that shows whether customers needed long-term support from
company staff. The company needs to develop an ML model to predict whether new customers will
require long-term support.
Which modeling approach should the company use to meet this requirement?
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Question 3
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A company is building a near real-time data analytics application to detect anomalies and failures forindustrial equipment. The company has thousands of IoT sensors that send data every 60 seconds.When new versions of the application are released, the company wants to ensure that applicationcode bugs do not prevent the application from running.Which solution will meet these requirements?
Answer: A
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A company is building a near real-time data analytics application to detect anomalies and failures forindustrial equipment. The company has thousands of IoT sensors that send data every 60 seconds.When new versions of the application are released, the company wants to ensure that applicationcode bugs do not prevent the application from running.Which solution will meet these requirements?
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Question 4
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An ML engineer has trained a neural network by using stochastic gradient descent (SGD). The neuralnetwork performs poorly on the test set. The values for training loss and validation loss remain highand show an oscillating pattern. The values decrease for a few epochs and then increase for a fewepochs before repeating the same cycle.What should the ML engineer do to improve the training process?
Answer: D
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An ML engineer has trained a neural network by using stochastic gradient descent (SGD). The neuralnetwork performs poorly on the test set. The values for training loss and validation loss remain highand show an oscillating pattern. The values decrease for a few epochs and then increase for a fewepochs before repeating the same cycle.What should the ML engineer do to improve the training process?
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Question 5
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An ML engineer has trained a neural network by using stochastic gradient descent (SGD). The neuralnetwork performs poorly on the test set. The values for training loss and validation loss remain highand show an oscillating pattern. The values decrease for a few epochs and then increase for a fewepochs before repeating the same cycle.What should the ML engineer do to improve the training process?
Answer: D
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An ML engineer has trained a neural network by using stochastic gradient descent (SGD). The neuralnetwork performs poorly on the test set. The values for training loss and validation loss remain highand show an oscillating pattern. The values decrease for a few epochs and then increase for a fewepochs before repeating the same cycle.What should the ML engineer do to improve the training process?