AI0-001 AI Implementation and Operations Practice Question
Which THREE components are essential for implementing a successful MLOps pipeline for a continuously deployed AI system?
⚠ Common exam trap
CompTIA often tests the distinction between operational strategies (like canary deployments) and foundational pipeline components (like versioning and registries), leading candidates to confuse deployment tactics with essential infrastructure.
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
✓
Model registry for version control and metadata management
A model registry (C) is essential for MLOps because it provides version control, metadata management, and lineage tracking for all trained models. This enables reproducibility, auditability, and seamless rollback in a continuously deployed AI system, ensuring that only validated models are promoted to production.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Manual approval gates for each deployment
Why it's wrong here
Automated gates are preferred; manual gates are not an essential component.
- ✗
Canary deployment strategy
Why it's wrong here
Canary deployment is a strategy, not a core component of the pipeline.
- ✓
Model registry for version control and metadata management
Why this is correct
Registry is critical for tracking and managing model versions.
- ✓
Automated testing and validation of models and pipelines
Why this is correct
Testing ensures reliability before deployment.
- ✓
Data and model versioning
Why this is correct
Versioning ensures reproducibility and traceability.
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.