MLS-C01 Modeling Practice Question
A healthcare company needs to predict patient readmission risk using clinical notes. Which AWS service can be used to preprocess the text data into numerical features for a machine learning model?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Amazon Comprehend
Amazon Comprehend is a natural language processing (NLP) service that can extract entities, key phrases, and sentiment. It is suitable for preprocessing clinical notes into features. SageMaker Ground Truth is for data labeling. Rekognition is for images. Translate is for translation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Amazon SageMaker Ground Truth
Why it's wrong here
Ground Truth is for creating labeled datasets, not feature extraction.
- ✓
Amazon Comprehend
Why this is correct
Comprehend provides NLP capabilities for text feature extraction.
- ✗
Amazon Translate
Why it's wrong here
Translate is for language translation, not feature extraction.
- ✗
Amazon Rekognition
Why it's wrong here
Rekognition is for image and video analysis, not text.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This MLS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MLS-C01 exam.