AAIR AI Lifecycle Risk Management Practice Question
Which TWO of the following scenarios represent 'Data Quality Risk'?
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
✓
Training data is from a 5-year-old dataset that is no longer representative.
Inconsistent formatting and lack of temporal relevance are clear data quality issues.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Training data is from a 5-year-old dataset that is no longer representative.
Why this is correct
Lack of temporal relevance renders the data low-quality for current needs.
- ✗
The model is deployed on a slow network.
Why it's wrong here
This is an infrastructure performance issue.
- ✗
The model is written in a new programming language.
Why it's wrong here
Not a quality risk.
- ✓
Training data features have inconsistent units (e.g., mixed meters and feet).
Why this is correct
This is a fundamental data quality error.
- ✗
The model uses a popular open-source library.
Why it's wrong here
Not a quality risk.
About these practice questions
Courseiva writes every AAIR question from scratch — 199 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official ISACA exam blueprint
This AAIR practice question is part of Courseiva's free ISACA 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 AAIR exam.