
AWSCertified Machine Learning Engineer - Associate
Domain 2Objective 3
Task 2.3: Analyze Model Performance MLA-C01 Practice Questions (Page 8)
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 39 practice questions to prepare you well beyond it. (estimate)
39questions here
8free pages
15concepts
26%of the exam
Questions 36–39
- 36
Which AWS service allows you to monitor tensors and system metrics during training to debug issues like vanishing gradients?
Select an answer first - 37
A marketing team is building a model to identify customers who are likely to churn. The cost of a false positive (offering a discount to a customer who would not churn) is $10. The cost of a false negative (missing a customer who will churn) is $100. The churn rate in the customer base is 5%. The team has trained a model and obtained the following confusion matrix on a test set of 10,000 customers: Predicted churn: 600 (400 actual churn, 200 actual no-churn). Predicted no-churn: 9,400 (100 actual churn, 9,300 actual no-churn). What is the total cost of the model's errors on this test set?
Select an answer first - 38
What is a key practice for ensuring reproducibility in machine learning experiments?
Select an answer first - 39
A medical diagnostics team is evaluating a binary classifier that detects a specific disease. The test set contains 1,000 patients, of which 100 have the disease. The model's confusion matrix is: True Positives: 80, False Negatives: 20, False Positives: 50, True Negatives: 850. The team needs to report the model's precision and recall to the medical board. What are the precision and recall values?
Select an answer first
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