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: 254
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Updated On: Apr 29, 2025
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Rated: 4.9 |
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Online Users: 508
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Question 1
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What is an indication that ML might be an overcomplicated solution?
Answer: B
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What is an indication that ML might be an overcomplicated solution?
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Question 2
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When is unexplainability not acceptable?
Answer: C,D
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When is unexplainability not acceptable?
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Question 3
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A Machine Learning Specialist is implementing a full Bayesian network on a dataset that describes public transit in New York City.One of the random variables is discrete and represents the number of minutes New Yorkers wait for a bus given that the buses cycle every 10 minutes, with a mean of 3 minutes.Which prior probability distribution should the ML Specialist use for this variable?
Answer: D
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A Machine Learning Specialist is implementing a full Bayesian network on a dataset that describes public transit in New York City.One of the random variables is discrete and represents the number of minutes New Yorkers wait for a bus given that the buses cycle every 10 minutes, with a mean of 3 minutes.Which prior probability distribution should the ML Specialist use for this variable?
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Question 4
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Which task is machine learning NOT used for in the examples provided?
Answer: A
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Which task is machine learning NOT used for in the examples provided?
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Question 5
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A Machine Learning Specialist is preparing data for training on Amazon SageMaker.The Specialist is using one of the SageMaker built-in algorithms for the training.The dataset is stored in .CSV format and is transformed into a numpy.array, which appears to be negatively affecting the speed of the training.What should the Specialist do to optimize the data for training on SageMaker?
Answer: C
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A Machine Learning Specialist is preparing data for training on Amazon SageMaker.The Specialist is using one of the SageMaker built-in algorithms for the training.The dataset is stored in .CSV format and is transformed into a numpy.array, which appears to be negatively affecting the speed of the training.What should the Specialist do to optimize the data for training on SageMaker?