A team is deciding between training a model from scratch on a large dataset or using a pre-trained model and fine-tuning it on a smaller dataset. What is the primary cost advantage of using the pre-trained model?

Reduced training compute and time

A data scientist wants to quickly experiment with a pre-trained model for text generation and also explore ready-to-use solution templates for common ML problems. Which AWS service provides both of these capabilities?

Amazon SageMaker built-in algorithms

AWSCertified Machine Learning Engineer - Associate

Domain 2Objective 1

Task 2.1: Choose a Modeling Approach MLA-C01 Practice Questions (Page 4)

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 16–20

16foundation · easy
A healthcare company must build a model to predict patient readmission risk. Regulators require that the model's decisions can be explained to patients and auditors. Which model characteristic should be prioritized in the selection process?
Select an answer first
17foundation · easy
A team is deciding between training a model from scratch on a large dataset or using a pre-trained model and fine-tuning it on a smaller dataset. What is the primary cost advantage of using the pre-trained model?
Select an answer first
18foundation · easy
A company wants to use Amazon SageMaker AI to build a model that classifies customer reviews as positive, neutral, or negative. The reviews are text data. Which SageMaker built-in algorithm is designed for this type of problem?
Select an answer first
19foundation · easy
A media company needs to convert recorded podcast episodes into text for searchable transcripts. Which AWS AI service is designed for this task?
Select an answer first
20foundation · easy
A data scientist wants to quickly experiment with a pre-trained model for text generation and also explore ready-to-use solution templates for common ML problems. Which AWS service provides both of these capabilities?
Select an answer first

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Task 2.1: Choose a Modeling Approach MLA-C01 Practice Questions (Page 4)

Questions 16–20

A healthcare company must build a model to predict patient readmission risk. Regulators require that the model's decisions can be explained to patients and auditors. Which model characteristic should be prioritized in the selection process?

A team is deciding between training a model from scratch on a large dataset or using a pre-trained model and fine-tuning it on a smaller dataset. What is the primary cost advantage of using the pre-trained model?

A company wants to use Amazon SageMaker AI to build a model that classifies customer reviews as positive, neutral, or negative. The reviews are text data. Which SageMaker built-in algorithm is designed for this type of problem?

A media company needs to convert recorded podcast episodes into text for searchable transcripts. Which AWS AI service is designed for this task?

A data scientist wants to quickly experiment with a pre-trained model for text generation and also explore ready-to-use solution templates for common ML problems. Which AWS service provides both of these capabilities?

Keep studying — Content Domain 2: ML Model Development