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Implementing service monitoring strategiesmediumMultiple ChoiceObjective-mapped

PCDOE Implementing service monitoring strategies Practice Question

Exhibit

```
"logsBasedMetric": {
  "filter": "resource.type=\"gce_instance\" AND jsonPayload.status=\"500\"",
  "metricDescriptor": {
    "metricKind": "DELTA",
    "valueType": "INT64",
    "name": "custom.googleapis.com/errors/5xx"
  },
  "labelExtractors": {
    "instance_id": "EXTRACT(jsonPayload.instance_id)"
  },
  "description": "Count of 500 errors per instance"
}
```

An SRE team created the above logs-based metric. They expect it to count the number of HTTP 500 errors per instance. However, the metric shows no data. What is the most likely cause?

⚠ Common exam trap

Google Cloud often tests the misconception that metric kind or naming conventions cause missing data, but the real issue is almost always a mismatch between the log entry's actual field structure and the metric's extraction configuration.

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 log entries might not have the 'status' field in jsonPayload; it could be in a different location or format.

The most likely reason for a logs-based metric showing no data is that the log entries do not contain the expected 'status' field in jsonPayload, or it is located in a different field (e.g., httpRequest.status) or formatted as a string instead of an integer. Cloud Logging metrics rely on exact field paths defined in the metric descriptor; if the field is missing or misnamed, no data points are generated.

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 kind is DELTA but should be CUMULATIVE.

    Why it's wrong here

    DELTA is appropriate for counting events over time; CUMULATIVE would not change the filter matching issue.

  • The log entries might not have the 'status' field in jsonPayload; it could be in a different location or format.

    Why this is correct

    If the logs are structured differently, the filter will not match, resulting in no data.

  • The metric name does not follow the required naming convention.

    Why it's wrong here

    custom.googleapis.com/errors/5xx is a valid custom metric name.

  • The labelExtractors must use regex instead of JSON path.

    Why it's wrong here

    EXTRACT with jsonPayload is valid; regex is not required.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This PCDOE practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PCDOE exam.