Jeff’s Note #
Unlike generic exam dumps, ADH analyzes this scenario through the lens of a Real-World Lead Developer.
For DVA-C02 candidates, the confusion often lies in understanding the boundaries between development and production Lambda triggers within the same AWS account. In production, it’s about knowing exactly how S3 Event Notifications and Lambda permissions interplay to prevent unintended function invocations. Let’s drill down.
The Certification Drill (Simulated Question) #
Scenario #
Finix Labs is a software company that processes user-uploaded media files with AWS Lambda functions triggered by Amazon S3 event notifications. They maintain separate S3 buckets and Lambda functions for their development and production environments within the same AWS account. However, their lead developer notices that when files are uploaded to the development bucket, the production Lambda function is also triggered. This leads to mixing test data into production workflows, which must be avoided.
The Requirement: #
Isolate the event triggers such that uploads to the development bucket invoke only the development Lambda function, and uploads to the production bucket invoke only the production Lambda function — preventing cross-environment invocation while both environments remain in the same AWS account.
The Options #
- A) Update the execution role of the production Lambda function by attaching a policy that allows access only to the production S3 bucket.
- B) Update the bucket policy on the production and development S3 buckets to specifically permit invoking their respective Lambda functions.
- C) Separate the development and production environments into different AWS accounts. Update the execution role of each Lambda to allow read access only to the bucket within the same account.
- D) Separate the development and production environments into different AWS accounts. Add resource policies on the Lambda functions that allow invocation only from S3 buckets within the same account.
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Correct Answer #
B
Quick Insight: The Developer Imperative #
The correct isolation pattern for event-driven Lambda invocation within the same AWS account relies on tight S3 bucket policies specifying which Lambda function each bucket can invoke. Execution roles govern what the function can do during execution but don’t limit which events trigger it. Unlike account separation approaches (C and D), best practice in a single-account environment is to configure bucket policies to restrict invocation sources to the intended Lambda only.
Content Locked: The Expert Analysis #
You’ve identified the answer. But do you know the implementation details that separate a Junior from a Senior?
The Expert’s Analysis #
Correct Answer #
Option B
The Winning Logic #
When dealing with multiple event sources within the same AWS account, the separation of invocation permissions is achieved best through the resource policies on the S3 buckets. Each S3 bucket’s policy must specify the correct Lambda function that it is allowed to invoke for events. This ensures that even though the Lambda functions run in the same account, only the intended function executes for each bucket’s events.
- Updating execution roles (Option A) only controls permissions during Lambda execution (e.g., reading objects), not which events invoke the function.
- Account separation (Options C and D) is a valid architectural approach for strict isolation but introduces complexity and cost, which may be excessive for many development workflows.
- The event notification configuration in S3 combined with bucket policies is the streamlined method within a single account for proper production-development isolation.
The Trap (Distractor Analysis): #
- Why not A? The Lambda execution role governs permissions the function has during runtime (such as reading from S3). It does not restrict which events trigger the Lambda. Hence, it cannot prevent the production Lambda from being invoked by development bucket events.
- Why not C or D? While separating environments into distinct AWS accounts is a best practice for strict production/dev isolation, it is not a requirement here and adds operational overhead not implied by the question. Also, resource policies on Lambda (Option D) are valid but more specific to cross-account invocation, less relevant if environments remain in the same account.
The Technical Blueprint #
Relevant Example: S3 Bucket Policy for Invocation Restriction (Option B) #
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "AllowInvocationFromS3ToDevLambda",
"Effect": "Allow",
"Principal": {
"Service": "s3.amazonaws.com"
},
"Action": "lambda:InvokeFunction",
"Resource": "arn:aws:lambda:us-east-1:123456789012:function:DevFunction",
"Condition": {
"ArnLike": {
"AWS:SourceArn": "arn:aws:s3:::dev-bucket"
}
}
}
]
}
- Attach a similar policy to the production bucket, allowing invocation only of the production Lambda.
- This ensures the production Lambda is not triggered by development bucket uploads and vice versa.
The Comparative Analysis (Developer Perspective) #
| Option | API Complexity | Performance | Use Case |
|---|---|---|---|
| A | Low | Neutral | Controls runtime access but does not restrict event triggers |
| B | Medium | Optimal | Correctly restricts invocation permissions at the source (S3). Ideal within single AWS account |
| C | High | Neutral | Uses multi-account isolation. More secure but operationally complex |
| D | High | Neutral | Adds Lambda resource policy restrictions. Good for cross-account, but less relevant if in same account |
Real-World Application (Practitioner Insight) #
Exam Rule #
For the exam, always remember: When isolating Lambda invocations triggered by S3 events within the same AWS account, the bucket policy controlling event invoke permissions is your primary control plane.
Real World #
In production, many organizations eventually separate production and development into different AWS accounts or organizations for better isolation and governance, but during early development or cost-sensitive projects, strict IAM policies combined with resource policies often suffice for clean separation.
(CTA) Stop Guessing, Start Mastering #
Disclaimer
This is a study note based on simulated scenarios for the AWS DVA-C02 exam.