DVA-C02 TESTKING PDF - DVA-C02 UPDATED TORRENT & DVA-C02 CRAM VCE

DVA-C02 Testking Pdf - DVA-C02 Updated Torrent & DVA-C02 Cram Vce

DVA-C02 Testking Pdf - DVA-C02 Updated Torrent & DVA-C02 Cram Vce

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Amazon AWS Certified Developer - Associate Sample Questions (Q44-Q49):

NEW QUESTION # 44
A company has deployed infrastructure on AWS. A development team wants to create an AWS Lambda function that will retrieve data from an Amazon Aurora database. The Amazon Aurora database is in a private subnet in company's VPC. The VPC is named VPC1. The data is relational in nature. The Lambda function needs to access the data securely.
Which solution will meet these requirements?

  • A. Export the data from the Aurora database to Amazon S3. Create and launch a Lambda function in VPC1. Configure the Lambda function query the data from Amazon S3.
  • B. Create the Lambda function. Configure VPC1 access for the function. Assign a security group named SG1 to the Lambda function. Assign a second security group named SG2 to the database. Add an inbound rule to SG1 to allow TCP traffic from Port 3306.
  • C. Create the Lambda function. Configure VPC1 access for the function. Attach a security group named SG1 to both the Lambda function and the database. Configure the security group inbound and outbound rules to allow TCP traffic on Port 3306.
  • D. Create and launch a Lambda function in a new public subnet that is in a new VPC named VPC2. Create a peering connection between VPC1 and VPC2.

Answer: C

Explanation:
AWS Lambda is a service that lets you run code without provisioning or managing servers. Lambda functions can be configured to access resources in a VPC, such as an Aurora database, by specifying one or more subnets and security groups in the VPC settings of the function. A security group acts as a virtual firewall that controls inbound and outbound traffic for the resources in a VPC. To allow a Lambda function to communicate with an Aurora database, both resources need to be associated with the same security group, and the security group rules need to allow TCP traffic on Port 3306, which is the default port for MySQL databases. Reference: [Configuring a Lambda function to access resources in a VPC]


NEW QUESTION # 45
A developer is testing an application that invokes an AWS Lambda function asynchronously. During the testing phase the Lambda function fails to process after two retries.
How can the developer troubleshoot the failure?

  • A. Configure AWS Config to process any direct unprocessed events.
  • B. Configure AWS CloudTrail logging to investigate the invocation failures.
  • C. Configure Dead Letter Queues by sending events to Amazon SQS for investigation.
  • D. Configure Amazon Simple Workflow Service to process any direct unprocessed events.

Answer: C

Explanation:
This solution allows the developer to troubleshoot the failure by capturing unprocessed events in a queue for further analysis. Dead Letter Queues (DLQs) are queues that store messages that could not be processed by a service, such as Lambda, for various reasons, such as configuration errors, throttling limits, or permissions issues. The developer can configure DLQs for Lambda functions by sending events to either an Amazon Simple Queue Service (SQS) queue or an Amazon Simple Notification Service (SNS) topic. The developer can then inspect the messages in the queue or topic to identify and fix the root cause of the failure.
Configuring AWS CloudTrail logging will not capture invocation failures for asynchronous Lambda invocations, but only record API calls made by or on behalf of Lambda. Configuring Amazon Simple Workflow Service (SWF) or AWS Config will not process any direct unprocessed events, but require additional integration and configuration.


NEW QUESTION # 46
A company runs its website on AWS. The company posts daily polls on its website and publishes the poll results next day. The website stores user responses in an Amazon DynamoDB table.
After the poll results are published, the company does not need to keep the user responses.
A developer needs to implement a solution that will automatically remove old user responses from the DynamoDB table. The developer adds a new expiration_date attribute to the DynamoDB table. The developer plans to use the expiration_date attribute for the automation.
Which solution will meet these requirements with the LEAST development effort?

  • A. Create an AWS Fargate task in Amazon Elastic Container Service (Amazon ECS) to delete old user responses based on the expiration_date attribute. Create an Amazon EventBridge schedule to run the Fargate task daily.
  • B. Enable TTL on the DynamoDB table and specify the expiration_date attribute. Expire old user responses by using DynamoDB TTL.
  • C. Create an AWS Glue job to delete old user responses based on the expiration_date attribute.
    Create an AWS Glue trigger schedule to run the job daily.
  • D. Create an AWS Lambda function to delete old user responses based on the expiration_date attribute. Create an Amazon EventBridge schedule to run the Lambda function daily.

Answer: B


NEW QUESTION # 47
A company is building a microservices application 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? (Choose two.)

  • A. Set the deployment preference type to Canary10Percent30Minutes. Use hooks to test the deployment.
  • B. Declare the EventInvokeConfig on the Lambda functions in the AWS SAM templates with OnSuccess and OnFailure configurations.
  • C. Use AWS SAM CLI commands in AWS CodeDeploy to invoke the Lambda functions to test the deployment.
  • D. Set the deployment preference type to Linear10PercentEvery10Minutes. Use hooks to test the deployment.
  • E. Enable gradual deployments through AWS SAM templates.

Answer: A,E


NEW QUESTION # 48
When a developer tries to run an AWS Code Build project, it raises an error because the length of all environment variables exceeds the limit for the combined maximum of characters.
What is the recommended solution?

  • A. Use Amazon Cognate to store key-value pairs for large numbers of environment variables
  • B. Use AWS Systems Manager Parameter Store to store large numbers ot environment variables
  • C. Update the settings for the build project to use an Amazon S3 bucket for large numbers of environment variables
  • D. Add the export LC-_ALL" on _ US, tuft" command to the pre _ build section to ensure POSIX Localization.

Answer: B

Explanation:
This solution allows the developer to overcome the limit for the combined maximum of characters for environment variables in AWS CodeBuild. AWS Systems Manager Parameter Store provides secure, hierarchical storage for configuration data management and secrets management. The developer can store large numbers of environment variables as parameters in Parameter Store and reference them in the buildspec file using parameter references. Adding export LC_ALL="en_US.utf8" command to the pre_build section will not affect the environment variables limit. Using Amazon Cognito or an Amazon S3 bucket to store key-value pairs for environment variables will require additional configuration and integration.


NEW QUESTION # 49
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