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MLA-C01 Practice Question: A data scientist is using Amazon SageMaker Data…
A data scientist is using Amazon SageMaker Data Wrangler for data preparation. Which two tasks can be performed using Data Wrangler's built-in transforms? (Choose two.)
⚠ Common exam trap
It's easy for candidates to confuse Data Wrangler's capabilities with those of SageMaker Studio's other features, such as Athena for SQL queries or the built-in algorithms for model training, leading them to select options that are valid in SageMaker but not within Data Wrangler's scope.
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
✓
Encoding categorical variables
Amazon SageMaker Data Wrangler includes a built-in transform for encoding categorical variables, such as one-hot encoding or ordinal encoding, directly within its visual interface. This allows data scientists to convert categorical data into numerical formats without writing custom code, streamlining the data preparation pipeline.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Running a SQL query on the data
Why it's wrong here
SQL queries are not a built-in transform; data can be imported via SQL but not transformed.
- ✓
Encoding categorical variables
Why this is correct
Built-in transform for one-hot encoding or label encoding.
- ✓
Handling missing values
Why this is correct
Built-in transform to impute or drop missing values.
- ✗
Creating an ensemble of models
Why it's wrong here
Ensemble creation is not a Data Wrangler feature.
- ✗
Training a custom machine learning model
Why it's wrong here
Data Wrangler is for data preparation, not model training.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This MLA-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 MLA-C01 exam.