AI0-001 AI Infrastructure and Technologies Practice Question
A company wants to use a pre-trained model from a cloud-based AI service but must ensure that customer data is not used to improve the service. Which configuration should they choose?
⚠ Common exam trap
Test-takers frequently confuse data retention settings (which control storage duration) with data usage policies (which control whether data is used for training), leading them to select Option A instead of the correct data privacy policy that prevents training.
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
✓
Use a data policy that prohibits training on customer data
The 'No Training' data policy option explicitly prevents the cloud AI service from using customer prompts and completions to retrain or improve the underlying models. This configuration is essential for compliance with data privacy requirements, ensuring that customer data remains isolated from model improvement pipelines.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Set data retention to 30 days
Why it's wrong here
Retention controls how long prompts and outputs are stored, not whether they train the model; the service's opt-out setting governs that. Retention limits are chosen when regulatory data-residency or deletion timelines apply, which is a different requirement from preventing training use.
- ✗
Enable content filtering
Why it's wrong here
Content filtering screens prompts and completions for harmful material; it does not affect whether submitted data trains the underlying model. Filtering is configured when the workload must block violence, hate or self-harm content, not to enforce a no-training guarantee.
- ✓
Use a data policy that prohibits training on customer data
Why this is correct
A data policy prohibiting training on customer data contractually and technically restricts the provider from using submitted inputs to improve or retrain the service, directly satisfying the requirement that customer data is not repurposed. This is the configuration control that enforces the no-training guarantee.
- ✗
Enable rate limiting
Why it's wrong here
Rate limiting throttles request volume and does nothing to stop customer data being retained for model training. It is tempting because it is a genuine cloud AI control, but it would be the correct choice when the requirement is protecting the service from abuse or excessive API consumption.
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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.