Cloud Digital Leader Scaling with Google Cloud operations Practice Question
This GCDL practice question tests your understanding of scaling with google cloud operations. 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 uses Cloud Monitoring to collect metrics from their applications running on Google Kubernetes Engine (GKE). They want to create custom dashboards and set up alerting policies. Which THREE capabilities are available in Cloud Monitoring? (Choose THREE.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Define custom metrics via the Monitoring API
Option C is correct because the Cloud Monitoring API allows you to define and write custom metrics, which can then be used in dashboards and alerting policies. This is essential for capturing application-specific data that is not automatically collected by the default GKE integration, such as business KPIs or custom performance counters.
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.
✗
Query logs using Logging Query Language
Why it's wrong here
Log queries are performed in Cloud Logging.
✗
Automatically remediate incidents with Cloud Functions
Why it's wrong here
Automatic remediation is not a built-in Monitoring capability.
✓
Define custom metrics via the Monitoring API
Why this is correct
Custom metrics can be created and used in Monitoring.
Related concept
Read the scenario before looking for a memorised answer.
✓
Set up alerting policies based on metric thresholds
Why this is correct
Alerting policies are core to Cloud Monitoring.
Related concept
Read the scenario before looking for a memorised answer.
✓
Create uptime checks for external URLs
Why this is correct
Uptime checks are a Monitoring feature to verify service availability.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse Cloud Monitoring with Cloud Logging, mistakenly thinking that log querying (Option A) is a core Monitoring feature, when in fact Monitoring is metric-centric and uses the Metrics Explorer, not the Logs Explorer.
Detailed technical explanation
How to think about this question
Custom metrics in Cloud Monitoring are defined using the `projects.timeSeries.create` API endpoint, which accepts time series data with a custom metric type (e.g., `custom.googleapis.com/my_metric`). These metrics can be written from any application using the Cloud Monitoring client libraries, and once ingested, they support the same alerting and dashboarding features as system metrics. A real-world scenario is tracking the number of active user sessions in a GKE pod, which requires a custom metric because it is not exposed by the Kubernetes or container metrics.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this GCDL question in full detail.
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: Define custom metrics via the Monitoring API — Option C is correct because the Cloud Monitoring API allows you to define and write custom metrics, which can then be used in dashboards and alerting policies. This is essential for capturing application-specific data that is not automatically collected by the default GKE integration, such as business KPIs or custom performance counters.
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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Question Discussion
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