1Z0-1127-25 Deploying and Managing Generative AI on OCI Practice Question
Exhibit
GET /20180401/metrics?compartmentId=ocid1.compartment.oc1..aaaa...&metricName=InferenceLatency&aggregationInterval=1m&groupBy=modelId
Refer to the exhibit. The dashboard shows latency grouped by modelId, but some points are missing for certain modelIds. Which of the following is the most likely reason?
⚠ Common exam trap
Watch out — candidates often confuse missing data due to inactive resources with configuration errors (e.g., metric name typos or compartment mismatches), but OCI exam tests the understanding that metric gaps are often caused by resource lifecycle events rather than misconfiguration.
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 modelIds with missing data may have been deleted or are inactive
In OCI's Generative AI service, model deployments are associated with specific modelIds. If a modelId is deleted or its deployment is deactivated, the corresponding telemetry data (e.g., latency metrics) will no longer be reported, causing gaps in the dashboard. The dashboard aggregates metrics only for active modelIds, so missing points indicate that those modelIds are no longer in service.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The metric name is misspelled
Why it's wrong here
A misspelled metric name would return no data for any model.
- ✗
The aggregation interval is too short
Why it's wrong here
A short interval would still produce data points for all models; it would not cause missing points for specific models.
- ✓
The modelIds with missing data may have been deleted or are inactive
Why this is correct
Inactive or deleted models stop emitting metrics, leading to gaps in the time series.
- ✗
The compartmentId is incorrect
Why it's wrong here
An incorrect compartmentId would return data for a different compartment, potentially missing all models, not just some.
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