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Managing application performance monitoring practice questions

Practise Google Professional Cloud Developer Managing application performance monitoring practice questions — original exam-style scenarios with answer choices, explanations, and analysis of common mistakes.

Courseiva uses original exam-style practice questions designed for learning and revision. The goal is to understand the concepts, recognise exam patterns, and improve through explanations — not memorise copied exam dumps.

Reviewed byJohnson Ajibi· MSc IT Security
20 questionsDomain: Managing application performance monitoring
Practice 10 questionsBrowse domain →

What the exam tests

What to know about Managing application performance monitoring

Managing application performance monitoring questions test whether you can apply the concept in context, not just recognise a definition.

How the topic appears in realistic exam-style scenarios.

Which detail in the question changes the correct answer.

How to eliminate plausible but wrong options.

How to connect the question back to the wider exam objective.

Watch out for

Common Managing application performance monitoring exam traps

  • ▸Answering from memory before reading the full scenario.
  • ▸Missing a constraint such as cost, availability, security, scope or command context.
  • ▸Choosing a broad answer when the question asks for the most specific fix.
  • ▸Ignoring why the wrong options are tempting.

Practice set

Managing application performance monitoring questions

20 questions · select your answer, then reveal the explanation

Question 1easymultiple choice
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A company deploys a microservices application on Google Kubernetes Engine (GKE). The operations team needs to monitor API latency between services. Which Google Cloud service should they use to trace requests across services?

Question 2easymultiple choice
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A developer notices that a Cloud Function is timing out after 60 seconds. The function makes an external API call that occasionally takes longer than the timeout. What is the best practice to handle this?

Question 3easymultiple choice
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A company uses Cloud Monitoring to set up an alerting policy for CPU utilization on Compute Engine instances. They want to be notified when average CPU usage exceeds 80% for 5 minutes. Which threshold type should they use?

Question 4mediummultiple choice
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An application running on GKE is experiencing high latency. The team uses Cloud Trace to identify the bottleneck. They notice that a particular service spends most of its time waiting on a database query. How can they optimize performance?

Question 5mediummultiple choice
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A company uses Cloud Run for a serverless application. They notice that cold starts are causing high latency for some requests. What is the best strategy to reduce cold starts?

Question 6mediummultiple choice
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A team wants to monitor custom application metrics from a Compute Engine instance. They use the Cloud Monitoring agent. Which metric type should they use to report a gauge measurement like current memory usage?

Question 7mediummultiple choice
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A company uses Cloud Monitoring to create an uptime check for their external HTTP endpoint. The check fails periodically even though the service is healthy. What is the most likely cause?

Question 8hardmultiple choice
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An application running on GKE uses a custom metric to track order processing time. The metric is exported via Prometheus and ingested by Cloud Monitoring using the Managed Service for Prometheus. The team wants to create an alert when the 95th percentile latency exceeds 2 seconds over a 5-minute window. Which PromQL query should be used?

Question 9hardmultiple choice
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A company uses Cloud Logging to centralize logs from multiple projects. They want to create a log-based metric for tracking 404 errors. However, the metric shows zero data even though 404 errors are occurring. What is the most likely reason?

Question 10easymulti select
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Which TWO are best practices for setting up alerting policies in Cloud Monitoring? (Choose two.)

Question 11mediummulti select
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Which THREE are valid uses of Cloud Trace? (Choose three.)

Question 12hardmulti select
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Which TWO are correct ways to reduce logging costs in Google Cloud? (Choose two.)

Question 13hardmultiple choice
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Your company runs a multi-tier web application on Google Kubernetes Engine (GKE). The application consists of a frontend service, a backend API service, and a PostgreSQL database managed by Cloud SQL. Recently, users have been reporting intermittent slow response times during peak hours (10 AM - 12 PM). You have set up Cloud Monitoring dashboards and alerts. Cloud Trace shows that the backend API service has high latency, but only for certain requests. You notice that the backend service's CPU utilization is around 60% during peak hours, and memory usage is normal. The Cloud SQL instance's CPU utilization is at 90% and the query latency is high. You have also observed that the backend service makes multiple database queries per request, some of which are repeated. What is the most effective course of action to reduce latency?

Question 14mediummultiple choice
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Your team manages a serverless application deployed on Cloud Run. The application processes image uploads and stores metadata in Firestore. You have set up a Cloud Monitoring alert based on the 'request_count' metric for the Cloud Run service. The alert triggers when the request count exceeds 1000 requests per minute. Recently, the alert has been firing frequently, but the team notices that the application is performing well and there are no errors. The team is concerned about alert fatigue. You review the metric and notice that the request count metric is based on all HTTP requests, including health checks from the Cloud Run system. The health check requests account for about 30% of the total requests. What should you do to reduce unnecessary alerts while still monitoring real user traffic?

Question 15mediummultiple choice
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Your application running on Google Kubernetes Engine (GKE) is experiencing intermittent latency spikes. You have enabled Cloud Monitoring and Cloud Logging. Which approach would be MOST effective to identify the root cause?

Question 16easymultiple choice
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A development team is using Cloud Monitoring to set up an alerting policy for a Compute Engine instance. They want to be notified when the instance's CPU utilization exceeds 80% for at least 5 minutes. Which alerting policy configuration should they use?

Question 17hardmultiple choice
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Based on the Cloud Trace exhibit, which service is the primary contributor to the overall request latency?

Exhibit

Refer to the exhibit.

Cloud Trace details for a single request:
```
Span ID: 0000000000000001
Service: frontend
Duration: 1200ms
   Child Spans:
     - Span ID: 0000000000000002, Service: auth, Duration: 800ms
     - Span ID: 0000000000000003, Service: productcatalog, Duration: 300ms
     - Span ID: 0000000000000004, Service: recommendations, Duration: 50ms
```
Question 18mediummultiple choice
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You are configuring a Cloud Monitoring alerting policy for a Cloud Run service. The service has a maximum of 10 concurrent requests per instance. You want to be alerted when the average number of concurrent requests per instance exceeds 8 for at least 1 minute. Which metric and condition type should you use?

Question 19hardmultiple choice
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You are designing a monitoring strategy for a microservices architecture running on GKE. Each service emits custom business metrics (e.g., order processing time). You want to create a dashboard that shows the 99th percentile latency for each service over the last 7 days. Which approach should you take?

Question 20easymulti select
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Which TWO actions are best practices for managing application performance monitoring in Google Cloud?

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Frequently asked questions

What does the PCD exam test about Managing application performance monitoring?
Managing application performance monitoring questions test whether you can apply the concept in context, not just recognise a definition.
How should I use these practice questions?
Select your answer before revealing the explanation. Then read why each option is right or wrong — this active recall approach builds retention far faster than re-reading notes.
Can I practise just Managing application performance monitoring questions in a focused session?
Yes — the session launcher on this page draws every question from the Managing application performance monitoring domain. Use a 10-question session first to gauge your baseline, then move to 20 or 30 once the weak spots are clear.
Where can I practise other PCD topics?
Use the topic links above to move to related areas, or go back to the PCD question bank to see all topics.
Are these real exam questions or dumps?
These are original practice questions written to test the same concepts the PCD exam covers. They are not copied from any real exam or dump site.