AI0-001 AI Concepts and Foundations Practice Question
Exhibit
Model inference time: 150ms p95, 200ms p99. SLA requirement: 100ms p95.
Refer to the exhibit. A system administrator reviews the deployment. Which action should be taken to meet the SLA?
⚠ Common exam trap
CompTIA often tests the misconception that retraining or caching are universal performance fixes, when in fact they address accuracy and request repetition respectively, not raw compute throughput.
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
✓
Scale up the compute resources
The exhibit shows a deployment where inference latency exceeds the SLA requirement. Scaling up compute resources (e.g., adding more CPU cores, GPU memory, or increasing instance size) directly reduces per-request processing time by providing more parallel processing capacity, which is the most straightforward way to meet latency SLAs when the model is already optimized.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Retrain the model
Why it's wrong here
Incorrect; retraining affects accuracy, not necessarily latency.
- ✗
Implement caching
Why it's wrong here
Incorrect; caching helps for repeated queries, but does not reduce per-request latency for new inputs.
- ✗
Reduce model input size
Why it's wrong here
Incorrect; reducing input size may lower accuracy and it's a trade-off, not the primary fix.
- ✓
Scale up the compute resources
Why this is correct
Correct; more compute power can speed up inference.
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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.