A telecom company wants to predict customer churn. They have a large dataset with many features. The business team needs a model that is both accurate and interpretable, and they want to avoid overfitting. Which approach should be taken?

Use a random forest with a large number of trees.

Use a deep neural network with dropout.

Use a support vector machine with a polynomial kernel.

Use a regularized logistic regression model.

A startup wants to build a model to predict customer lifetime value (CLV) based on purchase history. They have only 500 records of customer transactions, and the data has many missing values. The business needs a reliable model to prioritize high-value customers. What should a machine learning engineer recommend?

Use a clustering algorithm to segment customers and estimate CLV for each segment.

Use a deep neural network to capture complex patterns in the data.

Collect more data and improve data quality before building the model.

Proceed with a simple linear regression model and accept the limitations due to small data size.

AWSCertified Machine Learning Engineer - Associate

Domain 2Objective 1

Task 2.1: Choose a Modeling Approach MLA-C01 Practice Questions (Page 5)

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 21–25

21foundation · easy
A global e-commerce company wants to automatically translate product descriptions from English into multiple languages for its international customers. Which AWS AI service should be used?
Select an answer first
22expert · hard
A telecom company wants to predict customer churn. They have a large dataset with many features. The business team needs a model that is both accurate and interpretable, and they want to avoid overfitting. Which approach should be taken?
Select an answer first
23foundation · easy
A security company wants to automatically detect and alert on inappropriate content in images uploaded by users. Which AWS AI service is most appropriate for this task?
Select an answer first
24application · medium
A startup wants to build a model to predict customer lifetime value (CLV) based on purchase history. They have only 500 records of customer transactions, and the data has many missing values. The business needs a reliable model to prioritize high-value customers. What should a machine learning engineer recommend?
Select an answer first
25application · easy
A security company wants to automatically detect and alert on suspicious activities in images uploaded by users, such as inappropriate content. Which AWS service should be used?
Select an answer first

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Task 2.1: Choose a Modeling Approach MLA-C01 Practice Questions (Page 5)

Questions 21–25

A global e-commerce company wants to automatically translate product descriptions from English into multiple languages for its international customers. Which AWS AI service should be used?

A telecom company wants to predict customer churn. They have a large dataset with many features. The business team needs a model that is both accurate and interpretable, and they want to avoid overfitting. Which approach should be taken?

A security company wants to automatically detect and alert on inappropriate content in images uploaded by users. Which AWS AI service is most appropriate for this task?

A security company wants to automatically detect and alert on suspicious activities in images uploaded by users, such as inappropriate content. Which AWS service should be used?

Keep studying — Content Domain 2: ML Model Development