AIF-C01 Fundamentals of AI and ML Practice Question
Which TWO services can be used to preprocess data for machine learning in AWS? (Choose two.)
⚠ Common exam trap
The AIF-C01 exam often tests the distinction between data querying services (like Athena) and data preprocessing services, leading candidates to mistakenly choose Athena because it can 'process' data via SQL, but it lacks the ML-specific transformation capabilities required for preprocessing.
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
✓
AWS Glue
AWS Glue is a fully managed ETL service that can be used to preprocess data for machine learning by cleaning, transforming, and enriching raw data before feeding it into ML models. It provides built-in transforms and can handle both structured and semi-structured data, making it suitable for preparing large datasets for training.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
AWS Glue
Why this is correct
Glue provides ETL capabilities suitable for preprocessing.
- ✗
Amazon Athena
Why it's wrong here
Athena is for querying data, not preprocessing.
- ✓
Amazon SageMaker Data Wrangler
Why this is correct
Data Wrangler is specifically for visual data preparation.
- ✗
Amazon Redshift
Why it's wrong here
Redshift is a data warehouse.
- ✗
AWS Lambda
Why it's wrong here
Lambda can be used but is not a primary preprocessing service.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.