The answer is to create a cross-region CloudWatch dashboard and add metrics from each region using metric math. This is the most efficient approach because CloudWatch cross-region dashboards natively aggregate metrics from multiple AWS regions into a single view without requiring any data movement, replication, or additional services. By using metric math, you can directly reference metric IDs from different regions within a single dashboard widget, enabling real-time aggregation of Synthetics canary success rates, failure counts, and latency metrics into a unified dashboard in US East (N. Virginia). On the AWS Certified DevOps Engineer Professional DOP-C02 exam, this question tests your understanding of CloudWatch cross-region dashboards as a native, serverless solution for multi-region observability—a common trap is choosing a solution that involves exporting data to a central S3 bucket or using Lambda to copy metrics, which adds unnecessary complexity and cost. Remember the memory tip: "Cross-region dashboards cross the finish line without crossing the data."
DOP-C02 Monitoring and Logging Practice Question
This DOP-C02 practice question tests your understanding of monitoring and logging. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 is using Amazon CloudWatch Synthetics canaries to monitor its web application endpoints. The canaries are deployed in multiple AWS regions. The team wants to aggregate the canary results into a single dashboard in the US East (N. Virginia) region. What is the MOST efficient way to achieve this?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Create a cross-region CloudWatch dashboard and add metrics from each region using metric math.
Option B is correct because CloudWatch cross-region dashboards allow you to aggregate metrics from multiple regions into a single dashboard without data movement. By using metric math, you can reference metric IDs from different regions directly in the dashboard widget, enabling real-time aggregation of Synthetics canary success/failure rates and latency metrics from all regions into a unified view in US East (N. Virginia). This approach avoids unnecessary data replication, reduces latency, and minimizes operational overhead.
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.
✗
Replicate the canaries to US East (N. Virginia) and run them from there.
Why it's wrong here
Incorrect: This changes the monitoring perspective and adds latency.
✓
Create a cross-region CloudWatch dashboard and add metrics from each region using metric math.
Why this is correct
Correct: Cross-region dashboards natively support displaying metrics from different regions.
Related concept
Read the scenario before looking for a memorised answer.
✗
Set up a Lambda function in each region to push canary results to a central S3 bucket, then create a dashboard from S3.
Why it's wrong here
Incorrect: This adds unnecessary complexity and cost.
✗
Create a CloudWatch Logs Insights query across all regions and visualize results.
Why it's wrong here
Incorrect: CloudWatch Logs Insights does not directly support dashboards.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may assume cross-region aggregation requires data movement (e.g., to S3 or Lambda) or that CloudWatch dashboards are region-scoped, but AWS actually supports cross-region dashboards natively, making option B the most efficient and direct solution.
Detailed technical explanation
How to think about this question
Cross-region CloudWatch dashboards work by using the `metric` property with a `region` field in the dashboard JSON, allowing widgets to reference metrics from any region where CloudWatch is available. Metric math expressions can combine these cross-region metrics (e.g., `SUM(METRICS('m1'))` where `m1` is a metric from `eu-west-1` and `m2` from `ap-southeast-2`) to compute aggregated statistics like total errors or average latency. This feature relies on CloudWatch's global API endpoint and does not require data transfer or additional services, making it ideal for multi-region monitoring scenarios.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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.
Monitoring and Logging — This question tests Monitoring and Logging — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Create a cross-region CloudWatch dashboard and add metrics from each region using metric math. — Option B is correct because CloudWatch cross-region dashboards allow you to aggregate metrics from multiple regions into a single dashboard without data movement. By using metric math, you can reference metric IDs from different regions directly in the dashboard widget, enabling real-time aggregation of Synthetics canary success/failure rates and latency metrics from all regions into a unified view in US East (N. Virginia). This approach avoids unnecessary data replication, reduces latency, and minimizes operational overhead.
What should I do if I get this DOP-C02 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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