Amazon SAP-C02 AWS Certified Solutions Architect – Professional (SAP-C02) 07 24Oct2024 - Practice Quiz

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Question 1 of 30

A data scientist is tasked with building a machine learning model to predict customer churn for an e-commerce platform using Amazon SageMaker. The dataset contains various features, including customer demographics, purchase history, and engagement metrics. The data scientist decides to use a built-in algorithm provided by SageMaker. After training the model, they notice that the model\'s accuracy is significantly lower than expected. What could be the most likely reason for this outcome, considering the capabilities of Amazon SageMaker and best practices in machine learning?

The model may be overfitting due to a lack of regularization or insufficient training data.

The algorithm used is not suitable for classification tasks.

The dataset is too small to yield meaningful insights.

The model training was not executed in a distributed manner, leading to performance issues.

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