AI0-001 AI Implementation and Operations Practice Question
Exhibit
Refer to the exhibit.
```
$ curl -w "@%{http_code}" http://model-serving.example.com/v1/predict -d '{"features": [1.2, 3.4, 5.6]}'
Response: {"prediction": 0.95, "latency_ms": 250}
$ curl -w "@%{http_code}" http://model-serving.example.com/v1/predict -d '{"features": [7.8, 9.0, 1.2]}'
Response: {"prediction": 0.12, "latency_ms": 245}
$ curl -w "@%{http_code}" http://model-serving.example.com/v1/predict -d '{"features": [3.4, 5.6, 7.8]}'
Response: {"error": "Inference timeout", "latency_ms": 500}
```A model serving endpoint is tested using curl commands. Based on the exhibit, what is the most likely issue?
⚠ Common exam trap
CompTIA often tests the distinction between persistent errors (like 500 or 404) and intermittent timeout failures, where candidates mistakenly attribute timeouts to server errors or input issues rather than recognizing the pattern of variable latency.
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
✓
The model is experiencing intermittent high latency leading to timeouts
The exhibit shows that the first curl request succeeds (HTTP 200), but subsequent requests fail with 'curl: (28) Operation timed out' after the default timeout of 30 seconds. This pattern of intermittent success followed by timeouts is characteristic of a model experiencing high latency spikes, not a persistent server error or configuration issue. The server is reachable and the model responds correctly some of the time, ruling out deployment or malformed input 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.
- ✗
The server is returning HTTP 500 errors
Why it's wrong here
The output shows an error message, but no HTTP status is shown; it's a timeout, not a server error.
- ✗
The input features are malformed
Why it's wrong here
All inputs are valid JSON arrays; the first two worked.
- ✓
The model is experiencing intermittent high latency leading to timeouts
Why this is correct
The third request timed out, suggesting occasional performance degradation.
- ✗
The model is not deployed on the server
Why it's wrong here
First two requests returned predictions, indicating the model is deployed.
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.