AWSCertified Machine Learning Engineer - Associate
Domain 2Objective 1
Task 2.1: Choose a Modeling Approach MLA-C01 Practice Questions (Page 7)
Part of the Content Domain 2: ML Model Development domain, which accounts for 26% of the MLA-C01 exam. AWS does not publish an official question count, but from its 130-minute exam (~50–85 total, ~13–22 in this domain), expect 4–7 from this objective — we provide 32 practice questions to prepare you well beyond it. (estimate)
32questions here
7free pages
9concepts
26%of the exam
Questions 31–32
- 31
A team is comparing a decision tree model and a deep neural network for a fraud detection task. The dataset is relatively small (5,000 labeled transactions), and the team needs a model that is fast to train and easy to interpret. Which model is more appropriate?
Select an answer first - 32
A data scientist needs to choose between a linear regression model and a gradient boosting model for a housing price prediction task. The dataset has 50 features and 10,000 samples, and some features have non-linear relationships with the target. Which model is likely to perform better in terms of accuracy?
Select an answer first
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