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AWS DVA-C02 Drill: Secrets Manager - Identifying Active Secrets Without Downtime

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 tracking dynamic secret usage without impacting live applications. In production, this is about understanding exactly how to monitor Secrets Manager API calls to identify active secrets without forcing configuration changes or downtime. Let’s drill down.

The Certification Drill (Simulated Question)
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Scenario
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A fintech startup, ApexPay, maintains multiple microservices that retrieve API keys and database credentials from AWS Secrets Manager. As the business grows, the team rotates secrets frequently, and older secrets may no longer be used by any services. ApexPay’s lead developer needs to pinpoint which secrets remain actively used by applications, but without causing any service interruptions during this discovery process.

The Requirement:
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Identify which secrets are still in use by the running applications without triggering any downtime or deactivation of secrets.

The Options
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  • A) Configure an AWS CloudTrail log file delivery to an Amazon S3 bucket. Create an Amazon CloudWatch alarm for the GetSecretValue Secrets Manager API operation requests.
  • B) Create a secretsmanager-secret-unused AWS Config managed rule. Create an Amazon EventBridge rule to initiate notifications when the AWS Config managed rule is triggered.
  • C) Deactivate the application secrets temporarily and monitor the application error logs for failures.
  • D) Configure AWS X-Ray for the applications. Create a sampling rule to capture traces for the GetSecretValue Secrets Manager API operation requests.

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Correct Answer
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A

Quick Insight: The Developer Imperative
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  • Monitoring Secrets Manager API activity via CloudTrail is the most direct and non-intrusive method to detect secret usage.
  • CloudTrail logs every Secrets Manager API call, including GetSecretValue, enabling identification of which secrets are actively requested.
  • Creating CloudWatch alarms on these API calls allows near-real-time alerting without impacting application runtime.
  • Other options either risk downtime or do not provide detailed API-level tracking required for safe analysis.

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

The Winning Logic
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The AWS Secrets Manager API method GetSecretValue is called whenever an application retrieves secrets. AWS CloudTrail logs provide a detailed and immutable record of every API call, including parameters and timestamps. By enabling CloudTrail log file delivery to an S3 bucket, the team gains a centralized repository of Secrets Manager access activity.

Pairing this with a CloudWatch metric filter and alarm on the GetSecretValue API calls enables near-real-time monitoring of secret usage without changing secret states or application code. This approach does not impact live applications and supports retrospective analysis of secret access patterns.

The Trap (Distractor Analysis):
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  • Option B: AWS Config managed rules do not currently include a direct “secretsmanager-secret-unused” rule. While AWS Config can monitor resource configurations, it does not provide detailed per-API call usage tracking to reliably identify active secrets.

  • Option C: Deactivating secrets to provoke errors risks causing service outages, violating the “no downtime” requirement. This brute-force approach is unsafe in production.

  • Option D: AWS X-Ray is excellent for tracing distributed requests, but it samples application-layer traces, not Secrets Manager API calls directly. Creating sampling rules for specific API operations isn’t straightforward and may not reliably capture all secrets retrieval calls. Also, X-Ray incurs additional operational complexity and does not create audit logs as suitable as CloudTrail.


The Technical Blueprint
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Developer CLI Example
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# Enable CloudTrail logging if not already enabled
aws cloudtrail create-trail --name ApexPayTrail --s3-bucket-name apexpay-cloudtrail-logs

# Start logging
aws cloudtrail start-logging --name ApexPayTrail

# Create a CloudWatch Logs metric filter to detect GetSecretValue calls
aws logs put-metric-filter --log-group-name CloudTrail/DefaultLogGroup \
  --filter-name SecretsManagerGetSecretValueFilter \
  --filter-pattern '{ ($.eventName = "GetSecretValue") }' \
  --metric-transformations metricName=GetSecretValueCalls,metricNamespace=SecretsManager,metricValue=1

# Create an alarm on the metric to alert on secret usage spikes or changes
aws cloudwatch put-metric-alarm --alarm-name SecretUsageAlarm \
  --metric-name GetSecretValueCalls --namespace SecretsManager \
  --statistic Sum --period 300 --threshold 1 --comparison-operator GreaterThanOrEqualToThreshold \
  --evaluation-periods 1 --alarm-actions arn:aws:sns:us-east-1:123456789012:SecretAlerts

The Comparative Analysis
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Option API Complexity Performance Use Case
A Low (CloudTrail + CloudWatch) Minimal impact Best for tracking and alerting without affecting live apps
B Medium (AWS Config rule creation) No direct API call tracking AWS Config rules do not natively detect API usage patterns
C Low Causing errors = downtime Risky, invasive method that violates uptime requirements
D High (X-Ray instrumentation) Moderate overhead Complex setup, does not guarantee secrets retrieval tracking

Real-World Application (Practitioner Insight)
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Exam Rule
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“For the exam, always pick CloudTrail + CloudWatch monitoring when asked to detect API usage patterns without impacting production.”

Real World
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“In real environments, many teams augment CloudTrail logs with centralized SIEM or analytics tools to track sensitive API operations. This approach offers auditing, alerting, and compliance benefits without ever forcing service interruptions.”


(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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