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| Section | Weight | Objectives |
|---|---|---|
| Security | 26% | - Manage sensitive data in application code
|
| Troubleshooting and Optimization | 18% | - Assist in a root cause analysis
|
| Development with AWS Services | 32% | - Develop code for AWS serverless applications
|
| Deployment | 24% | - Deploy code by using AWS CI/CD services
|
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NEW QUESTION # 428
A company has a serverless application that uses an Amazon API Gateway API to invoke an AWS Lambda function. A developer creates a fix for a defect in the Lambda function code. The developer wants to deploy this fix to the production environment. To test the changes, the developer needs to send 10% of the live production traffic to the updated Lambda function version.
Options:
Answer: C,E
Explanation:
Step 1: Understanding the Requirements
Gradual Traffic Shift: Test the new version by routing only 10% of production traffic to it.
Lambda Deployment: Use versioning and aliases to manage Lambda function updates.
Step 2: Solution Analysis
Option A:
Publishing a new version creates an immutable version of the Lambda function with the updated code.
This is a prerequisite for deploying changes using weighted aliases.
Correct option.
Option B:
API Gateway stages are not used for weighted routing; they represent environments like "dev" or "prod." Weighted routing is implemented using Lambda aliases, not API Gateway stages.
Not suitable.
Option C:
Lambda aliases allow traffic to be split between versions using weighted routing.
Assign a 90% weight to the old version and 10% to the new version to implement the gradual rollout.
Correct option.
Option D:
Network Load Balancers are not suitable for managing Lambda function traffic directly.
Not applicable.
Option E:
Route 53 routing policies apply at the DNS level and are not designed for Lambda version management.
Not suitable.
Step 3: Implementation Steps
Publish a New Version:
Publish the updated Lambda function code as a new version.
Create an Alias and Configure Weighted Routing:
Create an alias (e.g., prod) and associate it with both the old and new versions.
Set weights for traffic distribution:
aws lambda update-alias --function-name my-function \
--name prod --routing-config '{"AdditionalVersionWeights": {"2": 0.1}}' AWS Developer References:
Lambda Function Aliases
Weighted Traffic Routing with Lambda
NEW QUESTION # 429
A company has an analytics application that uses an AWS Lambda function to process transaction data asynchronously A developer notices that asynchronous invocations of the Lambda function sometimes fail When failed Lambda function invocations occur, the developer wants to invoke a second Lambda function to handle errors and log details.
Which solution will meet these requirements?
Answer: D
Explanation:
Explanation
Configuring a Lambda function destination with a failure condition is the best solution for invoking a second Lambda function to handle errors and log details. A Lambda function destination is a resource that Lambda sends events to after a function is invoked. The developer can specify the destination type as Lambda function and the ARN of the error-handling Lambda function as the resource. The developer can also specify the failure condition, which means that the destination is invoked only when the initial Lambda function fails. The destination event will include the response from the initial function, the request ID, and the timestamp. The other solutions are either not feasible or not efficient. Enabling AWS X-Ray active tracing on the initial Lambda function will help to monitor and troubleshoot the function performance, but it will not automatically invoke the error-handling Lambda function. Configuring a Lambda function trigger with a failure condition is not a valid option, as triggers are used to invoke Lambda functions, not to send events from Lambda functions.
Creating a status check alarm on the initial Lambda function will incur additional costs and complexity, and it will not capture the details of the failed invocations. References
* Using AWS Lambda destinations
* Asynchronous invocation - AWS Lambda
* AWS Lambda Destinations: What They Are and Why to Use Them
* AWS Lambda Destinations: A Complete Guide | Dashbird
NEW QUESTION # 430
A company is using Amazon API Gateway to develop an API for its application on AWS. A developer needs to test and generate API responses. Other teams are required to test the API immediately.
What should the developer do to meet these requirements?
Answer: A
NEW QUESTION # 431
A company is building an application on AWS. The application's backend includes an Amazon API Gateway REST API. The company's frontend application developers cannot continue work until the backend API is ready for integration. The company needs a solution that will allow the frontend application developers to continue their work.
Which solution will meet these requirements in the MOST operationally efficient way?
Answer: C
NEW QUESTION # 432
A developer manages an application that stores user objects in an Amazon S3 bucket without versioning enabled. The application has premium users and basic users.
After premium users upload objects, the premium users have unlimited downloads of their objects. Their objects are stored with a premium/ prefix. After basic users upload objects, the basic users can download their objects for 90 days. Their objects are stored with a basic/ prefix.
The developer needs to implement a solution to automatically delete objects for the basic users after 90 days.
Which solution will meet these requirements with the LEAST development effort?
Answer: A
Explanation:
The requirement is to automatically delete objects for basic users after 90 days with the least development effort. Amazon S3 provides a built-in, fully managed feature for this: S3 Lifecycle configuration rules .
Lifecycle rules can filter objects by prefix (and/or tags) and then perform actions such as expiring (deleting) objects after a specified number of days since creation. Because the bucket does not have versioning enabled, the relevant action is to expire the current object after the retention period.
Option C matches this exactly: create an S3 Lifecycle rule that applies only to objects under the basic/ prefix and configure the rule to expire current versions after 90 days . S3 then automatically and continuously enforces the policy without any code, scheduling, or operational maintenance. This is typically the lowest- effort and most reliable approach because it is handled by S3 itself.
Option A requires writing and operating a Lambda function plus a scheduler, handling pagination, permissions, error handling, retries, and potential costs and throttling when scanning large buckets. That is more development and operational effort than a lifecycle rule. Option B is incorrect because it targets the premium/ prefix, but premium objects must be retained indefinitely. Option D refers to delete markers and unfinished multipart uploads; delete markers are relevant primarily for versioned buckets , and cleaning up multipart uploads does not implement the required "delete basic objects after 90 days" behavior.
Therefore, the correct solution is C : use an S3 Lifecycle rule scoped to the basic/ prefix to expire objects after 90 days, achieving automated retention with minimal development effort.
NEW QUESTION # 433
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