A company wants to build a generative AI application that can answer questions based on its internal documentation. They want to use a pre-trained foundation model and customize it with their own data, without managing the underlying infrastructure. Which AWS service is most appropriate?

Amazon SageMaker built-in algorithms

A logistics company wants to predict delivery delays for each shipment. They have historical data on routes, weather, traffic, and package details. The target is a binary outcome: delayed or on-time. Which algorithm is most appropriate?

Principal Component Analysis (PCA)

AWSCertified Machine Learning Engineer - Associate

Domain 2Objective 1

Task 2.1: Choose a Modeling Approach MLA-C01 Practice Questions (Page 2)

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 6–10

6foundation · easy
A bank wants to predict whether a loan applicant will default based on historical data where each applicant is labeled as 'defaulted' or 'did not default'. Which type of machine learning algorithm is most appropriate?
Select an answer first
7foundation · easy
A company wants to build a generative AI application that can answer questions based on its internal documentation. They want to use a pre-trained foundation model and customize it with their own data, without managing the underlying infrastructure. Which AWS service is most appropriate?
Select an answer first
8foundation · easy
A data scientist is choosing between a deep neural network and a logistic regression model for a credit approval system. The business requires that the model's decisions be auditable and easy to explain to customers. Which model is more appropriate?
Select an answer first
9application · easy
A logistics company wants to predict delivery delays for each shipment. They have historical data on routes, weather, traffic, and package details. The target is a binary outcome: delayed or on-time. Which algorithm is most appropriate?
Select an answer first
10application · easy
A company wants to analyze customer reviews to determine sentiment (positive, negative, neutral). They have a large corpus of text reviews. 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 2)

Questions 6–10

A bank wants to predict whether a loan applicant will default based on historical data where each applicant is labeled as 'defaulted' or 'did not default'. Which type of machine learning algorithm is most appropriate?

A company wants to build a generative AI application that can answer questions based on its internal documentation. They want to use a pre-trained foundation model and customize it with their own data, without managing the underlying infrastructure. Which AWS service is most appropriate?

A data scientist is choosing between a deep neural network and a logistic regression model for a credit approval system. The business requires that the model's decisions be auditable and easy to explain to customers. Which model is more appropriate?

A logistics company wants to predict delivery delays for each shipment. They have historical data on routes, weather, traffic, and package details. The target is a binary outcome: delayed or on-time. Which algorithm is most appropriate?

A company wants to analyze customer reviews to determine sentiment (positive, negative, neutral). They have a large corpus of text reviews. Which AWS service should be used?

Keep studying — Content Domain 2: ML Model Development