easyMultiple Choice
AI-102 Practice Question: A developer is building a mobile app that uses…
A developer is building a mobile app that uses Azure Computer Vision to analyze images. The app needs to handle many requests with low latency. Which pricing tier should they choose?
⚠ Common exam trap
It's easy for candidates to confuse the Computer Vision S1 tier with the Custom Vision S0 tier or the Video Analyzer S1 tier, not realizing that each Azure AI service has its own distinct pricing tiers and that the question specifically targets the Computer Vision service for image analysis.
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
✓
Computer Vision S1 tier.
The Computer Vision S1 tier is designed for production workloads requiring high throughput and low latency, making it suitable for a mobile app that handles many image analysis requests. Unlike the Free F0 tier, which has strict rate limits (e.g., 20 transactions per minute), the S1 tier offers higher transactions per second (e.g., up to 10 TPS) and guaranteed performance for real-time scenarios.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Video Analyzer S1 tier.
Why it's wrong here
Video Analyzer S1 processes video streams, not still-image analysis, so it cannot serve Computer Vision requests at all. It tempts because it is a vision-family tier, but it is correct only for video indexing and spatial analysis workloads.
- ✗
Free F0 tier.
Why it's wrong here
F0 caps calls at 20 per minute and 5,000 per month, throttling the high request volume the app requires. It tempts as a no-cost entry tier, but it is correct only for evaluation, demos or very low-volume prototyping.
- ✗
Custom Vision S0 tier.
Why it's wrong here
Custom Vision S0 trains and hosts bespoke image classification models; it does not expose the general Computer Vision analyse-image endpoint the app calls. It tempts as an image AI tier, but fits only custom model training and prediction.
- ✓
Computer Vision S1 tier.
Why this is correct
The S1 tier provides higher request throughput and lower latency than the free or F0 tier, which is rate-limited and unsuitable for production mobile traffic. S1 satisfies the constraint of handling many concurrent requests with low latency.
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