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AI-102 Plan and manage an Azure AI solution Practice Question

Which THREE factors should you consider when selecting the pricing tier for an Azure AI Language resource to handle a high-volume production workload?

⚠ Common exam trap

Watch out — candidates often confuse 'features available' (like language support or SLA) with 'performance characteristics' (like TPS, document size, and latency), which are the actual tier-dependent factors that impact production workload handling.

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

✓

Transactions per second (TPS) limits

The pricing tier for Azure AI Language directly determines the Transactions Per Second (TPS) limit, which is critical for high-volume production workloads. For example, the Free tier (F0) allows only 20 TPS, while Standard (S) tiers can scale to thousands of TPS depending on the selected SKU. Exceeding the TPS limit results in throttling (HTTP 429 errors), so selecting a tier with sufficient TPS capacity is essential to maintain throughput under load.

Answer analysis

Option-by-option breakdown

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

✓
Transactions per second (TPS) limits
Why this is correct
Higher tiers have higher TPS limits.
✓
Maximum document size
Why this is correct
Tiers have different document size limits.
✗
Language support
Why it's wrong here
Language support is not tier-dependent.
✗
SLA percentage
Why it's wrong here
SLA is generally consistent across tiers.
✓
Latency guarantees
Why this is correct
Higher tiers may offer better latency.

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AI-102 Plan and manage an Azure AI solution Practice Question

Why each option matters

Option-by-option breakdown

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