AI0-001 Machine Learning and Deep Learning Practice Question
A company wants to deploy a machine learning model that requires continuous learning as new data arrives. The model must be able to adapt to changing patterns without retraining from scratch. Which approach should be used?
⚠ Common exam trap
CompTIA often tests the distinction between training paradigms (online vs. batch) and other ML concepts like transfer learning or unsupervised learning, so candidates may confuse 'continuous learning' with 'transfer learning' or incorrectly assume that any learning method can handle streaming data.
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
✓
Online learning
Online learning (also called incremental learning) updates the model incrementally as each new data point arrives, without requiring full retraining. This makes it ideal for scenarios where data arrives continuously and patterns shift over time, as the model can adapt its parameters on the fly.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Transfer learning
Why it's wrong here
Transfer learning leverages pre-trained models for new tasks but does not inherently support continuous updates.
- ✓
Online learning
Why this is correct
Online learning updates the model incrementally, allowing adaptation to new data without full retraining.
- ✗
Batch learning
Why it's wrong here
Batch learning requires retraining on the entire dataset periodically, which is inefficient for continuous data streams.
- ✗
Unsupervised learning
Why it's wrong here
Unsupervised learning finds patterns without labels, not designed for continuous supervised adaptation.
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.