AIF-C01 Fundamentals of AI and ML Practice Question
A data engineer is using Amazon SageMaker Data Wrangler to prepare tabular data for ML. Which THREE data transformations are natively supported? (Choose three.)
⚠ Common exam trap
AWS often tests the distinction between natively supported transformations in SageMaker Data Wrangler versus those requiring external services or custom scripts, leading candidates to mistakenly select audio or image processing options that are not part of Data Wrangler's built-in capabilities.
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
✓
One-hot encoding for categorical features
Amazon SageMaker Data Wrangler includes built-in support for one-hot encoding as a native transformation for categorical features. This transformation automatically creates binary columns for each category, which is essential for preparing tabular data for machine learning models that require numerical input.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
One-hot encoding for categorical features
Why this is correct
One-hot encoding is a built-in transform in Data Wrangler.
- ✗
Audio feature extraction
Why it's wrong here
Audio processing is not a built-in transform in Data Wrangler.
- ✓
Text vectorization using TF-IDF
Why this is correct
Data Wrangler includes text vectorizers like TF-IDF and count vectorizer.
- ✓
Custom Python code via Pandas or Spark
Why this is correct
Data Wrangler allows custom transformations using Python code.
- ✗
Image resizing and normalization
Why it's wrong here
Image transformations are not natively supported; Data Wrangler focuses on tabular and text data.
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This AIF-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 AIF-C01 exam.