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NEW QUESTION # 734
A developer is writing unit tests tor a new application that will be deployed on AWS. The developer wants to validate all pull requests with unit tests and merge the code with the main branch only when all tests pass The developer stores the code in AWS CodeCommit and sets up AWS CodeBuild to run the unit tests. The developer creates an AWS Lambda function to start the CodeBuild task. The developer needs to identify the CodeCommit events in an Amazon EventBridge event that can invoke the Lambda function when a pull request is created or updated.
Which CodeCommit event will meet these requirements?
Answer: B
Explanation:
https://aws.amazon.com/blogs/devops/automated-code-review-on-pull-requests-using-aws-codecommit-and- aws-codebuild/
NEW QUESTION # 735
A company is using Amazon API Gateway to invoke a new AWS Lambda function The company has Lambda function versions in its PROD and DEV environments. In each environment, there is a Lambda function alias pointing to the corresponding Lambda function version API Gateway has one stage that is configured to point at the PROD alias The company wants to configure API Gateway to enable the PROD and DEV Lambda function versions to be simultaneously and distinctly available Which solution will meet these requirements?
Answer: B
Explanation:
Explanation
The best solution is to use an API Gateway stage variable to configure the Lambda function alias. This allows you to specify the Lambda function name and its alias or version using the syntax function_name:${stageVariables.variable_name} in the Integration Request. You can then create different stages in API Gateway, such as PROD and DEV, and assign different values to the stage variable for each stage. This way, you can invoke different Lambda function versions or aliases based on the stage that you are using, without changing the function name in the Integration Request. References
* Using API Gateway stage variables to manage Lambda functions
* How to point AWS API gateway stage to specific lambda function alias?
* Setting stage variables using the Amazon API Gateway console
* Amazon API Gateway stage variables reference
NEW QUESTION # 736
A company created an application to consume and process data. The application uses Amazon SQS and AWS Lambda functions. The application is currently working as expected, but it occasionally receives several messages that it cannot process properly. The company needs to clear these messages to prevent the queue from becoming blocked. A developer must implement a solution that makes queue processing always operational. The solution must give the company the ability to defer the messages with errors and save these messages for further analysis. What is the MOST operationally efficient solution that meets these requirements?
Answer: C
Explanation:
Using a dead-letter queue (DLQ) with Amazon SQS is the most operationally efficient solution for handling unprocessable messages.
Amazon SQS Dead-Letter Queue:
A DLQ is used to capture messages that fail processing after a specified number of attempts.
Allows the application to continue processing other messages without being blocked.
Messages in the DLQ can be analyzed later for debugging and resolution.
Why DLQ is the Best Option:
Operational Efficiency: Automatically defers messages with errors, ensuring the queue is not blocked.
Analysis Ready: Messages in the DLQ can be inspected to identify recurring issues.
Scalable: Works seamlessly with Lambda and SQS at scale.
Why Not Other Options:
Option A: Logs the messages but does not resolve the queue blockage issue.
Option C: FIFO queues and 0-second retention do not provide error handling or analysis capabilities.
Option D: Alerts administrators but does not handle or store the unprocessable messages.
Steps to Implement:
Create a new SQS queue to serve as the DLQ.
Attach the DLQ to the primary queue and configure the Maximum Receives setting.
Using Amazon SQS Dead-Letter Queues
Best Practices for Using Amazon SQS with AWS Lambda
NEW QUESTION # 737
A developer uses AWS IAM Identity Center (AWS Single Sign-On) to interact with the AWS CLI and AWS SDKs on a local workstation. API calls to AWS services were working when the SSO access was first configured. However, the developer is now receiving Access Denied errors. The developer has not changed any configuration files or scripts that were previously working on the workstation.
What is the MOST likely cause of the developer's access issue?
Answer: B
Explanation:
https://docs.aws.amazon.com/IAM/latest/UserGuide/security-creds.html
NEW QUESTION # 738
A developer has observed an increase in bugs in the AWS Lambda functions that a development team has deployed in its Node.js application.
To minimize these bugs, the developer wants to implement automated testing of Lambda functions in an environment that closely simulates the Lambda environment.
The developer needs to give other developers the ability to run the tests locally. The developer also needs to integrate the tests into the team's continuous integration and continuous delivery (CI/CD) pipeline before the AWS Cloud Development Kit (AWS CDK) deployment.
Which solution will meet these requirements?
Answer: A
Explanation:
Explanation
The AWS Serverless Application Model Command Line Interface (AWS SAM CLI) is a command-line tool for local development and testing of Serverless applications3. The sam local generate-event command of AWS SAM CLI generates sample events for automated tests3. The sam local invoke command is used to invoke Lambda functions3. Therefore, option C is correct.
NEW QUESTION # 739
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