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: Feb 21, 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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An ML engineer has developed a binary classification model outside of Amazon SageMaker. The ML
engineer needs to make the model accessible to a SageMaker Canvas user for additional tuning.
The model artifacts are stored in an Amazon S3 bucket. The ML engineer and the Canvas user are
part of the same SageMaker domain.
Which combination of requirements must be met so that the ML engineer can share the model with
the Canvas user? (Choose two.)
Answer: B,C
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An ML engineer has developed a binary classification model outside of Amazon SageMaker. The ML
engineer needs to make the model accessible to a SageMaker Canvas user for additional tuning.
The model artifacts are stored in an Amazon S3 bucket. The ML engineer and the Canvas user are
part of the same SageMaker domain.
Which combination of requirements must be met so that the ML engineer can share the model with
the Canvas user? (Choose two.)
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Question 2
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A company runs an ML model on Amazon SageMaker AI. The company uses an automatic processthat makes API calls to create training jobs for the model. The company has new compliance rulesthat prohibit the collection of aggregated metadata from training jobs.Which solution will prevent SageMaker AI from collecting metadata from the training jobs?
Answer: A
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A company runs an ML model on Amazon SageMaker AI. The company uses an automatic processthat makes API calls to create training jobs for the model. The company has new compliance rulesthat prohibit the collection of aggregated metadata from training jobs.Which solution will prevent SageMaker AI from collecting metadata from the training jobs?
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Question 3
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A company wants to build an anomaly detection ML model. The model will use large-scale tabulardata that is stored in an Amazon S3 bucket. The company does not have expertise in Python, Spark,or other languages for ML.An ML engineer needs to transform and prepare the data for ML model training.Which solution will meet these requirements?
Answer: B
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A company wants to build an anomaly detection ML model. The model will use large-scale tabulardata that is stored in an Amazon S3 bucket. The company does not have expertise in Python, Spark,or other languages for ML.An ML engineer needs to transform and prepare the data for ML model training.Which solution will meet these requirements?
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Question 4
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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 5
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A travel company has trained hundreds of geographic data models to answer customer questions byusing Amazon SageMaker AI. Each model uses its own inferencing endpoint, which has become anoperational challenge for the company.The company wants to consolidate the models' inferencing endpoints to reduce operationaloverhead.Which solution will meet these requirements?
Answer: A
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A travel company has trained hundreds of geographic data models to answer customer questions byusing Amazon SageMaker AI. Each model uses its own inferencing endpoint, which has become anoperational challenge for the company.The company wants to consolidate the models' inferencing endpoints to reduce operationaloverhead.Which solution will meet these requirements?