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AWS DVA-C02 Drill: Distributed Tracing - Cross-Account Trace Aggregation

Jeff Taakey
Author
Jeff Taakey
21+ Year Enterprise Architect | AWS SAA/SAP & Multi-Cloud Expert.

Jeff’s Note
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Unlike generic exam dumps, ADH analyzes this scenario through the lens of a Real-World Lead Developer.

For AWS DVA-C02 candidates, the confusion often lies in understanding the difference between logging, tracing, and metric collection services — especially when the application spans multiple AWS accounts. In production, this is about knowing exactly how to consolidate trace data across boundaries to get end-to-end visibility. Let’s drill down.

The Certification Drill (Simulated Question)
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Scenario
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NextGen Apps Inc. develops a highly modular microservices application distributed across several AWS accounts for segregation of environments and teams. The engineering team needs to collect and visualize distributed tracing data spanning all these accounts to troubleshoot latency and downstream service dependencies effectively.

The Requirement:
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Identify the AWS service that can aggregate and visualize traces collected from multiple AWS accounts under a unified dashboard.

The Options
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  • A) AWS X-Ray
  • B) Amazon CloudWatch
  • C) Amazon VPC flow logs
  • D) Amazon OpenSearch Service

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leave a comment:

Correct Answer
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A) AWS X-Ray

Quick Insight: The Developer Imperative
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  • For developers, mastering AWS X-Ray’s ability to ingest and aggregate trace data from multiple AWS accounts is crucial. Unlike CloudWatch (metrics/logs) or VPC Flow Logs (network traffic), X-Ray is purpose-built for tracing distributed requests across components and accounts. Knowing this distinction helps avoid the common pitfall of using logs or metrics when trace visualization is required.

Content Locked: The Expert Analysis
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You’ve identified the answer. But do you know the implementation details that separate a Junior from a Senior?


The Expert’s Analysis
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Correct Answer
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Option A: AWS X-Ray

The Winning Logic
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AWS X-Ray is specifically designed for distributed tracing and can collect trace data from applications running in multiple AWS accounts by configuring cross-account trace data sharing. It creates a unified service map and supports visualization of request flows and latency breakdowns across services, regions, and accounts. This capability is essential for microservices architectures that want to correlate end-to-end requests.

  • As a Lead Developer, you would typically configure the AWS SDKs or X-Ray Daemon with cross-account permissions or use AWS Resource Access Manager (RAM) for sharing trace data.
  • AWS X-Ray SDK automatically instruments supported languages and frameworks, reducing manual trace logic.
  • The console provides built-in visualizations that highlight bottlenecks and errors across accounts.

The Trap (Distractor Analysis)
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  • Why not B) Amazon CloudWatch?
    CloudWatch collects and visualizes logs and metrics but does not provide a native, integrated distributed tracing visualization layer across multiple accounts. You could collect logs here but no automatic trace correlation.

  • Why not C) Amazon VPC Flow Logs?
    VPC Flow Logs capture network traffic metadata, useful for security and network troubleshooting, but do not correlate requests at the application layer or provide latency breakdowns.

  • Why not D) Amazon OpenSearch Service?
    OpenSearch is a search and analytics engine, often used to index logs or traces if you ingest data manually. However, it lacks the turnkey trace collection and visualization features that X-Ray offers natively for multi-account trace aggregation.


The Technical Blueprint
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# Example CLI snippet to enable cross-account trace data sharing using AWS RAM (simplified):
aws ram create-resource-share --name "XRayCrossAccount" --resource-arns arn:aws:xray:us-east-1:123456789012:trace-group/your-app \
    --principals 210987654321

The Comparative Analysis
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Option API Complexity Performance Impact Use Case
A) AWS X-Ray Moderate (SDK instrumentation + daemon) Low trace overhead Distributed tracing and visualization across accounts
B) CloudWatch Low (logs & metrics ingestion) Medium (log ingestion cost) Metrics and logs monitoring, no distributed trace view
C) VPC Flow Logs Minimal (network flow capture) Low Network-level traffic analysis, not application tracing
D) OpenSearch Service High (manual ingestion needed) High (indexing & query cost) Search and analytics on logs/traces, no auto correlation

Real-World Application (Practitioner Insight)
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Exam Rule
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For the exam, always pick AWS X-Ray when you see “distributed tracing” or “cross-account trace visualization.”

Real World
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In production, teams sometimes use OpenTelemetry combined with OpenSearch for customized tracing solutions, but AWS X-Ray offers the fastest way to get end-to-end tracing with minimal setup—especially valuable for dynamic microservices.


(CTA) Stop Guessing, Start Mastering
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Disclaimer

This is a study note based on simulated scenarios for the AWS DVA-C02 exam.

The DevPro Network: Mission and Founder

A 21-Year Tech Leadership Journey

Jeff Taakey has driven complex systems for over two decades, serving in pivotal roles as an Architect, Technical Director, and startup Co-founder/CTO.

He holds both an MBA degree and a Computer Science Master's degree from an English-speaking university in Hong Kong. His expertise is further backed by multiple international certifications including TOGAF, PMP, ITIL, and AWS SAA.

His experience spans diverse sectors and includes leading large, multidisciplinary teams (up to 86 people). He has also served as a Development Team Lead while cooperating with global teams spanning North America, Europe, and Asia-Pacific. He has spearheaded the design of an industry cloud platform. This work was often conducted within global Fortune 500 environments like IBM, Citi and Panasonic.

Following a recent Master’s degree from an English-speaking university in Hong Kong, he launched this platform to share advanced, practical technical knowledge with the global developer community.


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