AI0-001 AI Models and Data Engineering Practice Question
A data engineer is splitting a dataset into training, validation, and test sets for a machine learning project. The dataset is large and representative of the population. Which split ratio is commonly recommended?
⚠ Common exam trap
CompTIA often tests the misconception that a larger validation set (e.g., 20%) is always better for tuning, but for large representative datasets, the 80/10/10 split is recommended to avoid wasting training data while still obtaining reliable evaluation metrics.
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
✓
80% training, 10% validation, 10% test
(80% training, 10% validation, 10% test) is commonly recommended for large, representative datasets because it provides sufficient data for model training while retaining enough samples in the validation and test sets to reliably evaluate model performance and detect overfitting. This split balances the need for a robust training set with the requirement for statistically meaningful holdout sets, as recommended in standard machine learning practices for AI model development.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
90% training, 5% validation, 5% test
Why it's wrong here
Validation set may be too small to be representative.
- ✗
70% training, 20% validation, 10% test
Why it's wrong here
This split is also used but 80/10/10 is more common for large datasets.
- ✗
50% training, 25% validation, 25% test
Why it's wrong here
Insufficient training data, especially for large datasets.
- ✓
80% training, 10% validation, 10% test
Why this is correct
This is a standard split, providing ample training data and reliable validation and test sets.
About these practice questions
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.