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AI-102 Practice Question: Implement natural language processing solutions

Exhibit

Refer to the exhibit. You have the following KQL query for monitoring Azure AI Language service usage:

AzureDiagnostics
| where ResourceProvider == "MICROSOFT.COGNITIVESERVICES"
| where OperationName == "AnalyzeText"
| where TimeGenerated > ago(7d)
| summarize TotalCalls = count() by bin(TimeGenerated, 1d), StatusCode
| render timechart

You notice a spike in errors (HTTP 429) on a specific day. What is the most likely cause?

⚠ Common exam trap

In Azure AI services, HTTP 429 indicates rate limiting rather than service unavailability. Candidates often confuse 429 with 503 (service unavailable) or authentication errors (401/403).

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

✓

The number of calls exceeded the rate limit for the service tier.

HTTP 429 (Too Many Requests) is a rate-limiting response that occurs when the number of API calls exceeds the allowed threshold for the service tier. In Azure AI services, each pricing tier has a specific requests-per-second (RPS) or requests-per-minute (RPM) limit, and exceeding this limit triggers a 429 error to protect backend resources.

Answer analysis

Option-by-option breakdown

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

✗
Network connectivity issues.
Why it's wrong here
Network issues cause timeouts or 5xx errors, not 429.
✓
The number of calls exceeded the rate limit for the service tier.
Why this is correct
HTTP 429 indicates rate limiting.
✗
Authentication tokens expired.
Why it's wrong here
Expired tokens result in 401 Unauthorized.
✗
Invalid API keys were used.
Why it's wrong here
Invalid keys result in 401 Unauthorized.

Go deeper

AI-102 Practice Question: Implement natural language processing solutions

Exhibit

Why each option matters

Option-by-option breakdown

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