AWS Certified Machine Learning Engineer - Associate MLA-C01 Exam Questions and Answers (Page: 3)

QUESTION: 14

Case study
An ML engineer is developing a fraud detection model on AWS. The training dataset includes transaction logs, customer profiles, and tables from an on-premises MySQL database. The transaction logs and customer profiles are stored in Amazon S3.
The dataset has a class imbalance that affects the learning of the model's algorithm. Additionally, many of the features have interdependencies. The algorithm is not capturing all the desired underlying patterns in the data.
The ML engineer needs to use an Amazon SageMaker built-in algorithm to train the model.
Which algorithm should the ML engineer use to meet this requirement?

LightGBM
Linear learner
К-means clustering
Neural Topic Model (NTM)

Answer(s): A

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QUESTION: 15

A company has deployed an XGBoost prediction model in production to predict if a customer is likely to cancel a subscription. The company uses Amazon SageMaker Model Monitor to detect deviations in the F1 score.
During a baseline analysis of model quality, the company recorded a threshold for the F1 score. After several months of no change, the model's F1 score decreases significantly.
What could be the reason for the reduced F1 score?

Concept drift occurred in the underlying customer data that was used for predictions.
The model was not sufficiently complex to capture all the patterns in the original baseline data.
The original baseline data had a data quality issue of missing values.
Incorrect ground truth labels were provided to Model Monitor during the calculation of the baseline.

Answer(s): A

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QUESTION: 16

A company has a team of data scientists who use Amazon SageMaker notebook instances to test ML models. When the data scientists need new permissions, the company attaches the permissions to each individual role that was created during the creation of the SageMaker notebook instance.
The company needs to centralize management of the team's permissions.
Which solution will meet this requirement?

Create a single IAM role that has the necessary permissions. Attach the role to each notebook instance that the team uses.
Create a single IAM group. Add the data scientists to the group. Associate the group with each notebook instance that the team uses.
Create a single IAM user. Attach the AdministratorAccess AWS managed IAM policy to the user. Configure each notebook instance to use the IAM user.
Create a single IAM group. Add the data scientists to the group. Create an IAM role. Attach the AdministratorAccess AWS managed IAM policy to the role. Associate the role with the group. Associate the group with each notebook instance that the team uses.

Answer(s): A

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QUESTION: 17

An ML engineer needs to use an ML model to predict the price of apartments in a specific location.
Which metric should the ML engineer use to evaluate the model's performance?

Accuracy
Area Under the ROC Curve (AUC)
F1 score
Mean absolute error (MAE)

Answer(s): D

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QUESTION: 18

An ML engineer has trained a neural network by using stochastic gradient descent (SGD). The neural network performs poorly on the test set. The values for training loss and validation loss remain high and show an oscillating pattern. The values decrease for a few epochs and then increase for a few epochs before repeating the same cycle.
What should the ML engineer do to improve the training process?

Introduce early stopping.
Increase the size of the test set.
Increase the learning rate.
Decrease the learning rate.

Answer(s): D

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Amazon AWS Certified Machine Learning Engineer - Associate MLA-C01 Exam (page: 3) Amazon AWS Certified Machine Learning Engineer - Associate MLA-C01 Updated on: 25-Dec-2025

QUESTION: 14

QUESTION: 15

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QUESTION: 17

QUESTION: 18

Amazon AWS Certified Machine Learning Engineer - Associate MLA-C01 Exam (page: 3)
Amazon AWS Certified Machine Learning Engineer - Associate MLA-C01
Updated on: 25-Dec-2025