- A
Log-based metrics
Why wrong: Log-based metrics are for counting log events, not uptime.
- B
Uptime checks
Uptime checks verify availability from multiple locations.
- C
Error Reporting
Why wrong: Error Reporting tracks application errors, not uptime.
- D
Dashboards
Dashboards visualize uptime and availability metrics.
- E
Alerting policies
Alerting policies notify when uptime checks fail.
PCD Managing application performance monitoring Practice Question
This PCD practice question tests your understanding of managing application performance monitoring. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 team wants to monitor a web application's uptime from multiple locations. Which THREE Google Cloud monitoring features should they use?
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
Uptime checks
Uptime checks are the correct service for monitoring web application availability from multiple locations. They allow you to configure HTTP, HTTPS, or TCP checks from Google Cloud's global vantage points, verifying that the application responds correctly and within specified timeouts. This directly addresses the requirement to monitor uptime from multiple geographic locations.
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.
- ✗
Log-based metrics
Why it's wrong here
Log-based metrics are for counting log events, not uptime.
- ✓
Uptime checks
Why this is correct
Uptime checks verify availability from multiple locations.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Error Reporting
Why it's wrong here
Error Reporting tracks application errors, not uptime.
- ✓
Dashboards
Why this is correct
Dashboards visualize uptime and availability metrics.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Alerting policies
Why this is correct
Alerting policies notify when uptime checks fail.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between reactive monitoring (Error Reporting, log-based metrics) and proactive monitoring (Uptime checks), leading candidates to select log-based metrics or Error Reporting because they associate 'monitoring' with logs and errors rather than active probing.
Detailed technical explanation
How to think about this question
Uptime checks use Google Cloud's global network of monitoring agents to send HTTP GET/HEAD requests or TCP connection attempts to your application. They support configurable parameters such as request headers, response content matching, and SSL certificate validation. In a real-world scenario, you might set up an uptime check with a 5-second timeout and 3 retries to detect transient failures, then trigger an alert if the check fails from more than one location within a 5-minute window.
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: Uptime checks — Uptime checks are the correct service for monitoring web application availability from multiple locations. They allow you to configure HTTP, HTTPS, or TCP checks from Google Cloud's global vantage points, verifying that the application responds correctly and within specified timeouts. This directly addresses the requirement to monitor uptime from multiple geographic locations.
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.
About these practice questions
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Last reviewed: Jun 25, 2026
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.
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