Question 453 of 500
Managing application performance monitoringhardMultiple ChoiceObjective-mapped

PCD Managing application performance monitoring Practice Question

This PCD practice question tests your understanding of managing application performance monitoring. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A company receives a Cloud Monitoring alert that a Compute Engine instance's CPU utilization has exceeded 90% for the past 15 minutes. The incident turns out to be a false alarm caused by a scheduled job that runs daily. How can they prevent future false alarms for this recurring pattern?

Question 1hardmultiple choice
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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

Create a custom metric that excludes the scheduled job's CPU usage and use it in the alert.

Option A is correct because creating a custom metric that excludes the scheduled job's CPU usage allows the alert to ignore the predictable, recurring spike. This approach uses Cloud Monitoring's custom metrics capability to filter out known noise, ensuring the alert only triggers on unexpected CPU utilization patterns.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

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

  • Create a custom metric that excludes the scheduled job's CPU usage and use it in the alert.

    Why this is correct

    Filters out known noise while keeping sensitivity on application load.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Switch to 'Metric Absence' type condition.

    Why it's wrong here

    Metric Absence triggers when data stops, not when threshold crossed.

  • Increase the CPU utilization threshold to 95%.

    Why it's wrong here

    May still fire if job uses high CPU, and increases blind spot.

  • Change the condition's 'for' duration to 30 minutes.

    Why it's wrong here

    Job may run 15 min; 30 min may miss real issues that last 15 min.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often choose to increase the threshold or duration (options C or D) as a quick fix, failing to recognize that these actions only mask the symptom rather than eliminating the false alarm for a predictable, recurring pattern.

Detailed technical explanation

How to think about this question

Custom metrics in Cloud Monitoring are defined using the Monitoring API or the Google Cloud Console, and they can be based on existing system metrics with filtering via labels or resource groups. For example, you can create a custom metric that sums CPU usage only from processes not matching the scheduled job's PID or name, using the `metric.type` and `filter` fields. In real-world scenarios, this technique is critical for avoiding alert fatigue in environments with cron jobs, batch processing, or regular maintenance windows.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this PCD question test?

Managing application performance monitoring — This question tests Managing application performance monitoring — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Create a custom metric that excludes the scheduled job's CPU usage and use it in the alert. — Option A is correct because creating a custom metric that excludes the scheduled job's CPU usage allows the alert to ignore the predictable, recurring spike. This approach uses Cloud Monitoring's custom metrics capability to filter out known noise, ensuring the alert only triggers on unexpected CPU utilization patterns.

What should I do if I get this PCD question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 25, 2026

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This PCD 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 PCD exam.