AI0-001 AI Implementation and Operations Practice Question
A company uses an AI system to recommend products. The recommendation accuracy is high, but users complain about lack of diversity. Which strategy should the team adopt to improve diversity without significantly sacrificing accuracy?
⚠ Common exam trap
CompTIA often tests the misconception that simply adding more recommendations or using popularity will solve diversity issues, when in reality, algorithmic constraints like loss function modification are required to maintain accuracy while improving diversity.
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
✓
Modify the loss function to include a term that penalizes overly similar recommendations.
Modifying the loss function to include a diversity penalty directly addresses the lack of recommendation diversity at the algorithmic level. By adding a regularization term that penalizes overly similar recommendations, the model learns to balance accuracy with variety, ensuring that the output set remains diverse without a significant drop in relevance. This approach is a standard technique in recommendation systems, often implemented via Determinantal Point Processes (DPPs) or diversity-aware loss functions.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Randomly replace some recommendations with popular items.
Why it's wrong here
Random replacements can hurt accuracy and do not guarantee diversity.
- ✗
Use only popularity-based recommendations.
Why it's wrong here
Popularity recommendations are uniform and reduce diversity.
- ✗
Increase the number of recommendations and use collaborative filtering.
Why it's wrong here
Collaborative filtering may already be in use; more recommendations may not improve diversity.
- ✓
Modify the loss function to include a term that penalizes overly similar recommendations.
Why this is correct
This explicitly encourages diversity while retaining accuracy.
About these practice questions
Courseiva writes every AI0-001 question from scratch — 754 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 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.