- A
Cloud Logging log-based alerts that detect 5xx errors in application logs.
Why wrong: Log-based alerts detect errors that reach the application. Uptime checks verify external accessibility — detecting failures before any application code runs (DNS, network, load balancer failures).
- B
Cloud Monitoring uptime checks that probe endpoints from global locations with alerting on failure.
Uptime checks send probe requests from multiple global PoPs at configurable intervals. Failures across multiple locations trigger alerting policies — the managed solution for external availability monitoring.
- C
Cloud Trace that records response times for each user request.
Why wrong: Cloud Trace records distributed request traces from real user traffic. Uptime checks are synthetic (artificial probe) monitoring that tests availability even with zero real user traffic.
- D
Custom scripts on Compute Engine VMs that ping endpoints every minute.
Why wrong: Custom scripts on VMs require ongoing maintenance, don't test from global locations, and don't integrate natively with Cloud Monitoring alerting. Uptime checks are the managed, multi-location solution.
Quick Answer
The answer is Cloud Monitoring uptime checks, which are the correct feature for this scenario because they are specifically designed to probe HTTP, HTTPS, or TCP endpoints from multiple global locations at configurable intervals, such as every minute, and can trigger alerting policies when a check fails for a sustained duration like two minutes. This directly matches the requirement for continuous, multi-location verification of a homepage, login page, and API endpoints with automated alerts on unreachability. On the Google Cloud Digital Leader exam, this tests your understanding of how Cloud Monitoring operationalizes reliability—it often appears in scenario-based questions contrasting uptime checks with other tools like health checks for load balancers or logging-based alerts. A common trap is confusing uptime checks with simple ping tests; remember that uptime checks are application-aware and location-aware. Memory tip: think "Uptime = Up + Time + Location" to recall that these checks verify availability from multiple spots over a defined duration.
Cloud Digital Leader Scaling with Google Cloud operations Practice Question
This GCDL practice question tests your understanding of scaling with google cloud operations. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 wants to set up automated checks that continuously verify their website's homepage, login page, and API endpoints are accessible from multiple global locations. If any endpoint becomes unreachable for more than 2 minutes, the on-call engineer should be alerted. Which Cloud Monitoring feature provides this?
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
Cloud Monitoring uptime checks that probe endpoints from global locations with alerting on failure.
Cloud Monitoring uptime checks are specifically designed to probe HTTP, HTTPS, or TCP endpoints from multiple global locations at configurable intervals (e.g., every 1 minute). They can trigger alerting policies when a check fails for a specified duration (e.g., 2 minutes), directly matching the requirement for continuous, multi-location endpoint accessibility verification with alerting on sustained failure.
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.
- ✗
Cloud Logging log-based alerts that detect 5xx errors in application logs.
Why it's wrong here
Log-based alerts detect errors that reach the application. Uptime checks verify external accessibility — detecting failures before any application code runs (DNS, network, load balancer failures).
- ✓
Cloud Monitoring uptime checks that probe endpoints from global locations with alerting on failure.
Why this is correct
Uptime checks send probe requests from multiple global PoPs at configurable intervals. Failures across multiple locations trigger alerting policies — the managed solution for external availability monitoring.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cloud Trace that records response times for each user request.
Why it's wrong here
Cloud Trace records distributed request traces from real user traffic. Uptime checks are synthetic (artificial probe) monitoring that tests availability even with zero real user traffic.
- ✗
Custom scripts on Compute Engine VMs that ping endpoints every minute.
Why it's wrong here
Custom scripts on VMs require ongoing maintenance, don't test from global locations, and don't integrate natively with Cloud Monitoring alerting. Uptime checks are the managed, multi-location solution.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse log-based alerts (which detect errors in logs) with proactive uptime checks (which test connectivity), leading them to choose Option A because they think 5xx errors are the only way to detect unreachability, ignoring that a completely down endpoint may not generate logs at all.
Detailed technical explanation
How to think about this question
Uptime checks use a global network of Google Cloud locations (e.g., us-west1, europe-west1) to send HTTP GET/HEAD or TCP SYN probes. The alerting policy evaluates the 'check_passed' metric over a rolling window; for a 2-minute threshold, you configure the condition to fire if the number of failing locations exceeds a count (e.g., 1) for 2 consecutive minutes. A subtle behavior: uptime checks measure reachability from Google's network, not the user's network, so a false positive can occur if the target endpoint blocks Google's probe IPs.
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
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
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 GCDL question test?
Scaling with Google Cloud operations — This question tests Scaling with Google Cloud operations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Cloud Monitoring uptime checks that probe endpoints from global locations with alerting on failure. — Cloud Monitoring uptime checks are specifically designed to probe HTTP, HTTPS, or TCP endpoints from multiple global locations at configurable intervals (e.g., every 1 minute). They can trigger alerting policies when a check fails for a specified duration (e.g., 2 minutes), directly matching the requirement for continuous, multi-location endpoint accessibility verification with alerting on sustained failure.
What should I do if I get this GCDL 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 11, 2026
This GCDL 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 GCDL exam.
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