DVA-C02 LATEST DEMO | NEW DVA-C02 TEST ONLINE

DVA-C02 Latest Demo | New DVA-C02 Test Online

DVA-C02 Latest Demo | New DVA-C02 Test Online

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Free PDF Pass-Sure DVA-C02 - AWS Certified Developer - Associate Latest Demo

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Amazon AWS Certified Developer - Associate Sample Questions (Q151-Q156):

NEW QUESTION # 151
A company is creating a new application that gives users the ability to upload and share short video files. The average size of the video files is 10 MB. After a user uploads a file, a message needs to be placed into an Amazon Simple Queue Service (Amazon SQS) queue so the file can be processed. The files need to be accessible for processing within 5 minutes.
Which solution will meet these requirements MOST cost-effectively?

  • A. Write the files to Amazon S3 Glacier Deep Archive. Add the S3 location of the files to the SQS queue.
  • B. Write messages that contain the contents of the uploaded files to the SQS queue.
  • C. Write the files to Amazon S3 Standard. Add the S3 location of the files to the SQS queue.
  • D. Write the files to an Amazon Elastic Block Store (Amazon EBS) General Purpose SSD volume. Add the EBS location of the files to the SQS queue.

Answer: C

Explanation:
Comprehensive Detailed Explanation with all AWS Reference
Why Option B is Correct:
Amazon S3 Standard provides immediate access to files and is cost-effective for files that need to be accessed within 5 minutes.
By adding the S3 location to the SQS queue, you avoid transferring large files directly, which is both more efficient and scalable.
Why Other Options are Incorrect:
Option A: S3 Glacier Deep Archive is designed for archival storage with retrieval times ranging from minutes to hours, which does not meet the 5-minute requirement.
Option C: Amazon EBS is designed for block storage attached to EC2 instances, which adds unnecessary complexity and cost.
Option D: SQS is not designed to handle large file content directly and has message size limits (256 KB).
AWS Documentation Reference:
Amazon S3 Overview
Amazon SQS Best Practices


NEW QUESTION # 152
A developer is creating an AWS Lambda function. The Lambda function needs an external library to connect to a third-party solution The external library is a collection of files with a total size of 100 MB The developer needs to make the external library available to the Lambda execution environment and reduce the Lambda package space Which solution will meet these requirements with the LEAST operational overhead?

  • A. Create an Amazon Elastic File System (Amazon EFS) volume. Upload the external library to the EFS volume Mount the EFS volume in the Lambda function. Import the library by using the proper folder in the mount point.
  • B. Create a Lambda layer to store the external library Configure the Lambda function to use the layer
  • C. Create an Amazon S3 bucket Upload the external library into the S3 bucket. Mount the S3 bucket folder in the Lambda function Import the library by using the proper folder in the mount point.
  • D. Load the external library to the Lambda function's /tmp directory during deployment of the Lambda package. Import the library from the /tmp directory.

Answer: B

Explanation:
Explanation
Create a Lambda layer to store the external library. Configure the Lambda function to use the layer. This will allow the developer to make the external library available to the Lambda execution environment without having to include it in the Lambda package, which will reduce the Lambda package space. Using a Lambda layer is a simple and straightforward solution that requires minimal operational overhead.
https://docs.aws.amazon.com/lambda/latest/dg/configuration-layers.html


NEW QUESTION # 153
A company has an AWS Lambda function that processes incoming requests from an Amazon API Gateway API. The API calls the Lambda function by using a Lambda alias. A developer updated the Lambda function code to handle more details related to the incoming requests. The developer wants to deploy the new Lambda function for more testing by other developers with no impact to customers that use the API.
Which solution will meet these requirements with the LEAST operational overhead?

  • A. Update the existing Lambda alias used by API Gateway to a weighted alias. Add the new Lambda version as an additional Lambda function with a weight of 10%. Use the existing API Gateway stage for testing.
  • B. Create a new version of the Lambda function. Create a new API Gateway API for testing purposes. Update the integration of the new API with the new Lambda version. Use the new API for testing.
  • C. Create a new version of the Lambda function. Create and deploy a second Lambda function to filter incoming requests from API Gateway. If the filtering Lambda function detects a test request, the filtering Lambda function will invoke the new Lambda version of the code. For other requests, the filtering Lambda function will invoke the old Lambda version. Update the API Gateway API to use the filtering Lambda function.
  • D. Create a new version of the Lambda function. Create a new stage on API Gateway with integration to the new Lambda version. Use the new API Gateway stage to test the Lambda function.

Answer: D


NEW QUESTION # 154
A company has built a serverless application for its ecommerce website. The application includes a REST API in Amazon API Gateway that invokes an AWS Lambda function. The Lambda function processes data and stores the data in Amazon DynamoDB table. The Lambda function calls a third-party stock application API to process the order. After the ordered is processed, the Lambda function returns an HTTP 200 status code with no body to the client.
During peak usage when the API calls exceeds a certain threshold, the third-party stock application sometimes fails to process the data and responds with error messages. The company needs a solution that will not overwhelm the third-party stock application.
Which solution will meet these requirements?

  • A. Configure the REST API in API Gateway to write the requests directly into DynamoDB. Configure a DynamoDB intrinsic function to perform the transformation. Set up a DynamoDB stream to call the third-party stock application API with each new row. Delete the Lambda function.
  • B. Configure the REST API in API Gateway to write the requests directly into an Amazon Simple Notification Service (Amazon SNS) topic. Configure the Lambda function with a provisioned concurrency equal to the third-party stock application's threshold. Set the Lambda function to process the messages from the SNS topic.
  • C. Configure the REST API in API Gateway to write the requests directly into Amazon Athena.Configure the transformation of the data by using SQL with multiple query result locations set up to point to the DynamoDB table and the third-party stock fulfilment application API. Delete the Lambda function.
  • D. Configure the REST API in API Gateway to write the requests directly into an Amazon Simple Queue Service (Amazon SQS) queue. Configure the Lambda function with a reserved concurrency equal to the third-party stock application's threshold. Set Lambda function to process the messages from the SQS queue.

Answer: B


NEW QUESTION # 155
A company is building a micro services app1 cation that consists of many AWS Lambda functions. The development team wants to use AWS Serverless Application Model (AWS SAM) templates to automatically test the Lambda functions. The development team plans to test a small percentage of traffic that is directed to new updates before the team commits to a full deployment of the application.
Which combination of steps will meet these requirements in the MOST operationally efficient way? (Select TWO.)

  • A. Set the deployment preference type to Canary10Percen130Minutes Use hooks to test the deployment.
  • B. Use AWS SAM CLI commands in AWS CodeDeploy lo invoke the Lambda functions lo lest the deployment
  • C. Enable gradual deployments through AWS SAM templates.
  • D. Declare the EventlnvokeConfig on the Lambda functions in the AWS SAM templates with OnSuccess and OnFailure configurations.
  • E. Set the deployment preference type to Linear10PefcentEvery10Minutes Use hooks to test the deployment.

Answer: A,C

Explanation:
This solution will meet the requirements by using AWS Serverless Application Model (AWS SAM) templates and gradual deployments to automatically test the Lambda functions. AWS SAM templates are configuration files that define serverless applications and resources such as Lambda functions. Gradual deployments are a feature of AWS SAM that enable deploying new versions of Lambda functions incrementally, shifting traffic gradually, and performing validation tests during deployment. The developer can enable gradual deployments through AWS SAM templates by adding a DeploymentPreference property to each Lambda function resource in the template. The developer can set the deployment preference type to Canary10Percent30Minutes, which means that 10 percent of traffic will be shifted to the new version of the Lambda function for 30 minutes before shifting 100 percent of traffic. The developer can also use hooks to test the deployment, which are custom Lambda functions that run before or after traffic shifting and perform validation tests or rollback actions.


NEW QUESTION # 156
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