AI0-001 Implementing AI Solutions Practice Question
A team is deploying an AI microservice for real-time object detection in streaming video. Which TWO integration patterns are most appropriate? (Choose two.)
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
✓
Streaming responses for real-time inference
AI microservices are deployed as independent services, and streaming responses are needed for real-time video processing.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Streaming responses for real-time inference
Why this is correct
Streaming enables low-latency, continuous output for video frames.
- ✗
Batch processing with nightly jobs
Why it's wrong here
Batch processing is not real-time; streaming requires immediate inference.
- ✗
Synchronous request-response with long timeouts
Why it's wrong here
Synchronous calls can block and are less efficient for continuous streaming data.
- ✗
Monolithic application deployment
Why it's wrong here
Monolithic deployment couples the model with the application, reducing scalability.
- ✓
AI microservice architecture
Why this is correct
Microservices allow independent scaling and deployment of the object detection model.
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.