Data Preparation for Machine Learning (ML)Weight 28%
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AWS · Associate
AWS Certified Machine Learning Engineer - Associate (MLA-C01)
Prepare for this AWS Associate exam. Try an exam-style question first, then review the exam domains and practice-test format.
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Practice Questions 1
A robotics startup needs to train image classification models in Amazon SageMaker on 8 TB of JPEG data stored on an Amazon FSx for NetApp ONTAP SVM (NFS) in the same VPC, and requires high-throughput reads plus incremental updates every 6 hours with minimal ops overhead—what is the best way to make the data accessible to SageMaker training jobs?
Exam Domains
Use the exam weights to decide which domains to study first.
ML Model DevelopmentWeight 26%
Deployment and Orchestration of ML WorkflowsWeight 22%
ML Solution Monitoring, Maintenance, and SecurityWeight 24%
Success Stories(3)
S
S**********Nov 24, 2025
Study period: 2 weeks
Used these questions exclusively to study, passed on first time. The app questions is very similar to the actual exam.
K
k**********Nov 20, 2025
Study period: 2 weeks
Passed Oct 2025 with 905 score.
박
박**Nov 4, 2025
Study period: 1 month
Great questions. I really liked them!
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