AWSCertified Machine Learning Engineer - Associate
Domain 1Objective 3
Task 1.3: Ensure Data Integrity and Prepare Data for Modeling MLA-C01 Practice Questions (Page 6)
Part of the Content Domain 1: Data Preparation for Machine Learning (ML) domain, which accounts for 28% of the MLA-C01 exam. AWS does not publish an official question count, but from its 130-minute exam (~50–85 total, ~14–24 in this domain), expect 5–8 from this objective — we provide 28 practice questions to prepare you well beyond it. (estimate)
28questions here
6free pages
9concepts
28%of the exam
Questions 26–28
- 26
A financial services company is preparing a dataset for model training that includes customer names, email addresses, and account balances. The company wants to share this dataset with a third-party vendor for model development, but must protect customer privacy. Which technique should be used to replace direct identifiers with artificial values while preserving the format and uniqueness?
Select an answer first - 27
A machine learning engineer is reviewing a binary classification dataset for bias before training. The dataset contains 8,000 records for the positive class and 2,000 records for the negative class. Which pre-training bias metric directly quantifies this imbalance?
Select an answer first - 28
A data engineer needs to protect a CSV file stored in an Amazon S3 bucket. The file contains sensitive customer data and must be encrypted while stored. Which AWS feature provides encryption for data at rest in S3?
Select an answer first
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