- A
Create four separate alerting policies and pin them to a shared alerting page.
Why wrong: Alerting policies trigger notifications when thresholds are breached — they don't create dashboards. Separate policies also don't create a unified single-screen view.
- B
Create a Cloud Monitoring custom dashboard with chart widgets for each metric across the different services.
Custom dashboards support heterogeneous metric widgets from any GCP service. Each widget is independently configured, creating a unified operational view across Cloud Run, GKE, and Cloud SQL.
- C
Use BigQuery to query the metrics export and build a Looker Studio dashboard.
Why wrong: While possible, exporting to BigQuery and using Looker Studio adds significant complexity for what Cloud Monitoring custom dashboards provide natively and in real-time.
- D
Use Cloud Logging to create a log-based dashboard with all four metrics.
Why wrong: Log-based dashboards in Cloud Logging display log data, not metrics. Cross-service metric visualization requires Cloud Monitoring dashboards.
Quick Answer
The answer is a Cloud Monitoring custom dashboard, which allows you to combine chart widgets for each metric across different services into a single screen. This is correct because Cloud Monitoring custom dashboards support heterogeneous metric queries using the Monitoring Query Language (MQL) or metric selectors, enabling you to pull Cloud Run request count per second, p99 latency, GKE pod CPU utilization, and Cloud SQL query duration into one unified view without needing separate tools or data exports. On the Google Associate Cloud Engineer exam, this question tests your understanding that custom dashboards are the native feature for aggregating multi-service metrics, often tripping candidates who mistakenly choose separate alerting policies or logs-based metrics. A common trap is assuming you need to export metrics to a third-party tool, but Cloud Monitoring’s built-in chart widgets handle it directly. Memory tip: think of a “custom dashboard” as your single-pane-of-glass command center—one screen, all services, no exports.
Google ACE Practice Question: Ensuring successful operation of a cloud solution
This ACE practice question tests your understanding of ensuring successful operation of a cloud solution. 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.
You need to create a dashboard in Cloud Monitoring that shows: (1) Cloud Run request count per second, (2) Cloud Run p99 latency, (3) GKE pod CPU utilization, and (4) Cloud SQL query duration — all on a single screen. Which Cloud Monitoring feature enables this multi-service overview?
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 Cloud Monitoring custom dashboard with chart widgets for each metric across the different services.
Option B is correct because Cloud Monitoring custom dashboards allow you to combine chart widgets from multiple monitored services (Cloud Run, GKE, Cloud SQL) into a single screen. This feature supports heterogeneous metric queries using the Monitoring Query Language (MQL) or metric selectors, enabling a unified view without needing separate tools or exports.
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 four separate alerting policies and pin them to a shared alerting page.
Why it's wrong here
Alerting policies trigger notifications when thresholds are breached — they don't create dashboards. Separate policies also don't create a unified single-screen view.
- ✓
Create a Cloud Monitoring custom dashboard with chart widgets for each metric across the different services.
Why this is correct
Custom dashboards support heterogeneous metric widgets from any GCP service. Each widget is independently configured, creating a unified operational view across Cloud Run, GKE, and Cloud SQL.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use BigQuery to query the metrics export and build a Looker Studio dashboard.
Why it's wrong here
While possible, exporting to BigQuery and using Looker Studio adds significant complexity for what Cloud Monitoring custom dashboards provide natively and in real-time.
- ✗
Use Cloud Logging to create a log-based dashboard with all four metrics.
Why it's wrong here
Log-based dashboards in Cloud Logging display log data, not metrics. Cross-service metric visualization requires Cloud Monitoring dashboards.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the distinction between monitoring (dashboards) and alerting (policies), and the trap here is assuming that alerting policies can serve as a dashboard or that logging tools can natively display numeric metrics without additional configuration.
Detailed technical explanation
How to think about this question
Custom dashboards in Cloud Monitoring use the Metrics API to query time-series data from multiple services, supporting aggregation, alignment, and transformation via MQL. For example, you can plot Cloud Run request count with a rate() function, GKE pod CPU with kubernetes.io/container/cpu/core_usage_time, and Cloud SQL query duration with cloudsql.googleapis.com/database/postgresql/query_duration, all within the same dashboard grid. This avoids the overhead of exporting to external systems and provides sub-minute refresh intervals.
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.
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 ACE question test?
Ensuring successful operation of a cloud solution — This question tests Ensuring successful operation of a cloud solution — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Create a Cloud Monitoring custom dashboard with chart widgets for each metric across the different services. — Option B is correct because Cloud Monitoring custom dashboards allow you to combine chart widgets from multiple monitored services (Cloud Run, GKE, Cloud SQL) into a single screen. This feature supports heterogeneous metric queries using the Monitoring Query Language (MQL) or metric selectors, enabling a unified view without needing separate tools or exports.
What should I do if I get this ACE 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
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
1 more ways this is tested on ACE
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Match each Cloud Monitoring resource to its purpose.
mediumWhy : Cloud Monitoring helps observe and respond to system health.
Last reviewed: Jun 30, 2026
This ACE 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 ACE exam.
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