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Implement computer vision solutionshardMultiple ChoiceObjective-mapped

AI-102 Implement computer vision solutions Practice Question

You are implementing a solution that uses Azure AI Vision to analyze images in a batch processing pipeline. The pipeline processes thousands of images daily. You need to minimize cost while ensuring that all images are processed within 24 hours. Which service tier should you choose?

⚠ Common exam trap

Many exam-takers confuse the deprecated S0 tier with the current S1 tier, or assume that the Free tier can handle batch workloads due to its zero cost, ignoring the strict transaction limits and rate restrictions.

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

Standard S1 tier

The Standard S1 tier is the correct choice because it provides the necessary throughput (10 transactions per second) and capacity to process thousands of images within 24 hours at the lowest cost among the paid tiers. The Free F0 tier is limited to 20 transactions per minute and 5,000 transactions per month, which is insufficient for batch processing at scale. The S0 and S2 tiers are either deprecated or offer higher throughput at a higher cost, making S1 the most cost-effective option for this workload.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Free tier F0

    Why it's wrong here

    Free tier has a low number of transactions per month, insufficient for thousands daily.

  • Standard S1 tier

    Why this is correct

    S1 provides higher throughput and pay-per-transaction cost, ideal for batch processing.

  • Standard S0 tier

    Why it's wrong here

    S0 is for low throughput; may not meet 24-hour SLA.

  • Standard S2 tier

    Why it's wrong here

    S2 is higher throughput but more expensive; S1 is sufficient.

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