Quick Answer
The correct choice is the Computer Vision S1 tier because it is specifically designed for production workloads requiring high throughput and low latency, making it ideal for a mobile app that must handle many image analysis requests in real time. Unlike the Free F0 tier, which caps transactions at 20 per minute, the S1 tier supports up to 10 transactions per second, ensuring consistent performance under load. On the Microsoft Azure AI Engineer Associate AI-102 exam, this question tests your understanding of how to select a pricing tier based on latency and throughput requirements, often appearing as a scenario where a developer needs to balance cost against performance. A common trap is choosing the Free tier for prototyping without considering the strict rate limits that would break a real-time app. Remember the memory tip: “S1 for speed and scale, F0 for free but slow.”
This AI-102 practice question tests your understanding of implement image and video processing solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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?
Video Analyzer S1 tier.
Why wrong: For video indexing, not image analysis.
Free F0 tier.
Why wrong: Free tier has 20 calls per minute limit.
Custom Vision S0 tier.
Why wrong: Custom Vision is separate from Computer Vision.
Computer Vision S1 tier.
S1 offers up to 30 calls per second.
Answer choices
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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
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
For video indexing, not image analysis.
Free F0 tier.
Why it's wrong here
Free tier has 20 calls per minute limit.
Custom Vision S0 tier.
Why it's wrong here
Custom Vision is separate from Computer Vision.
Computer Vision S1 tier.
Why this is correct
S1 offers up to 30 calls per second.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates may 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.
Detailed technical explanation
Under the hood, the Computer Vision S1 tier provides dedicated capacity with a service-level agreement (SLA) of 99.9% uptime, ensuring consistent low-latency responses even under high concurrency. The tier also supports features like OCR, image tagging, and object detection with a maximum request size of 4 MB per image, which is critical for mobile apps that may upload high-resolution photos. In contrast, the F0 tier uses shared resources and throttles requests aggressively, causing unacceptable delays for real-time mobile scenarios.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
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FAQ
Implement image and video processing solutions — This question tests Implement image and video processing solutions — Read the scenario before looking for a memorised answer..
The correct answer is: 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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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