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PCDOE Implementing service monitoring strategies Practice Question

You are creating a Cloud Monitoring dashboard to display the 99th percentile latency of your HTTP Load Balancer over the last 6 hours. Which MQL query should you use?

⚠ Common exam trap

Google Cloud often tests the distinction between valid metric names (e.g., `total_latencies` vs. `latency`) and correct MQL syntax (e.g., `percentile(99)` vs. `99p` or `align 99`), leading candidates to choose syntactically close but incorrect options like A or D.

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

fetch loadbalancing.googleapis.com/https/total_latencies | align percentile(99)

It uses the correct metric type (`total_latencies`) and the proper MQL function `percentile(99)` to compute the 99th percentile latency. The `fetch` statement targets the exact Cloud Monitoring metric for HTTPS load balancer latencies, and `align percentile(99)` aggregates the raw latency distribution data over the specified time window (last 6 hours) to produce the desired percentile value.

Answer analysis

Option-by-option breakdown

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

  • fetch https_lb_rule :: latency | align 99p

    Why it's wrong here

    The metric name is incorrect (https_lb_rule does not exist) and 'align 99p' is not valid MQL.

  • fetch loadbalancing.googleapis.com/https/total_latencies | align percentile(99)

    Why this is correct

    This query fetches the latency distribution and aligns to the 99th percentile, exactly as needed.

  • fetch loadbalancing.googleapis.com/https/request_count | align | ratio

    Why it's wrong here

    This query uses request count and ratio, not latency percentiles.

  • fetch loadbalancing.googleapis.com/https/total_latencies | align 99 | with latency

    Why it's wrong here

    The 'align 99' is invalid; the correct function is 'percentile(99)'.

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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.