Free AWS Certified Developer Associate Exam Braindumps
AWS Certified Developer - Associate DVA-C02 Questions 276–280 (page: 57)

Updated On: 10-Feb-2026

A developer needs to implement a custom machine learning (ML) library in an application. The size of the library is 15 GB. The size of the library is increasing. The application uses AWS Lambda functions. All the Lambda functions must have access to the library.
Which solution will meet these requirements?

  1. Save the library in Lambda layers. Attach the layers to all Lambda functions.
  2. Save the library in Amazon S3. Download the library from Amazon S3 inside the Lambda function.
  3. Save the library as a Lambda container image. Redeploy the Lambda functions with the new image.
  4. Save the library in an Amazon Elastic File System (Amazon EFS) file system. Mount the EFS file system in all the Lambda functions.

Answer(s): D



A developer is designing a serverless application for a game in which users register and log in through a web browser. The application makes requests on behalf of users to a set of AWS Lambda functions that run behind an Amazon API Gateway HTTP API.
The developer needs to implement a solution to register and log in users on the application's sign-in page. The solution must minimize operational overhead and must minimize ongoing management of user identities.
Which solution will meet these requirements?

  1. Create Amazon Cognito user pools for external social identity providers. Configure IAM roles for the identity pools.
  2. Program the sign-in page to create users' IAM groups with the IAM roles attached to the groups.
  3. Create an Amazon RDS for SQL Server DB instance to store the users and manage the permissions to the backend resources in AWS.
  4. Configure the sign-in page to register and store the users and their passwords in an Amazon DynamoDB table with an attached IAM policy.

Answer(s): A



A company has a web application that is hosted on Amazon EC2 instances. The EC2 instances are configured to stream logs to Amazon CloudWatch Logs. The company needs to receive an Amazon Simple Notification Service (Amazon SNS) notification when the number of application error messages exceeds a defined threshold within a 5-minute period.
Which solution will meet these requirements?

  1. Rewrite the application code to stream application logs to Amazon SNS. Configure an SNS topic to send a notification when the number of errors exceeds the defined threshold within a 5-minute period.
  2. Configure a subscription filter on the CloudWatch Logs log group. Configure the filter to send an SNS notification when the number of errors exceeds the defined threshold within a 5-minute period.
  3. Install and configure the Amazon Inspector agent on the EC2 instances to monitor for errors. Configure Amazon Inspector to send an SNS notification when the number of errors exceeds the defined threshold within a 5-minute period.
  4. Create a CloudWatch metric filter to match the application error pattern in the log data. Set up a CloudWatch alarm based on the new custom metric. Configure the alarm to send an SNS notification when the number of errors exceeds the defined threshold within a 5-minute period.

Answer(s): D



A photo sharing application uses Amazon S3 to store image files. All user images are manually audited for inappropriate content by a third-party company. The audits are completed 1-24 hours after user upload and the results are written to an Amazon DynamoDB table, which uses the S3 object key as a primary key. The database items can be queried by using a REST API created by the third-party company.
An application developer needs to implement an automated process to tag all S3 objects with the results of the content audit.
What should the developer do to meet these requirements in the MOST operationally efficient way?

  1. Create an AWS Lambda function to run in response to the s3:ObjectCreated event type. Write the S3 key to an Amazon Simple Queue Service (Amazon SQS) queue with a visibility timeout of 24 hours. Create and configure a second Lambda function to read items from the queue. Retrieve the results for each item from the DynamoDB table. Tag each S3 object accordingly.
  2. Create an AWS Lambda function to run in response to the s3:ObjectCreated event type. Integrate the function into an AWS Step Functions standard workflow. Define an AWS Step Functions Wait state and set the value to 24 hours. Create and configure a second Lambda function to retrieve the audit results and tag the S3 objects accordingly after the Wait state is over.
  3. Create an AWS Lambda function to load all untagged S3 objects. Retrieve the results for each item from the REST API and tag each S3 object accordingly. Create and configure an Amazon EventBridge rule to run at regular intervals. Set the Lambda function as a target for the EventBridge rule.
  4. Launch an Amazon EC2 instance. Deploy a script to the EC2 instance to use the external database results to tag the S3 objects accordingly. Configure a crontab file to run the script at regular intervals.

Answer(s): B



A company has built an AWS Lambda function to convert large image files into output files that can be used in a third-party viewer application. The company recently added a new module to the function to improve the output of the generated files. However, the new module has increased the bundle size and has increased the time that is needed to deploy changes to the function code.
How can a developer increase the speed of the Lambda function deployment?

  1. Use AWS CodeDeploy to deploy the function code.
  2. Use Lambda layers to package and load dependencies.
  3. Increase the memory size of the function.
  4. Use Amazon S3 to host the function dependencies.

Answer(s): B



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