Pass the Amazon Web Services AWS Certified Associate DVA-C02 Questions and answers with ExamsMirror

Modify the X-Ray Python agent configuration in each service to increase the sampling rate

Instrument the application by using the X-Ray SDK for Python. Install the X-Ray SDK for all the services that the application uses

Enable X-Ray data aggregation in Amazon CloudWatch Logs for all the services that the application uses

Increase the X-Ray service map timeout value in the X-Ray console

Use the AWS:lnclude transform in CloudFormation to provide the log group's name to the application

Pass the log group's name to the application in the user data section of the CloudFormation template.

Use the CloudFormation template's Mappings section to specify the log group's name for the application.

Pass the log group's Amazon Resource Name (ARN) as an environment variable to the Lambda function

Perform a BatchGetltem operation that returns items from the two tables. Use the list of songName artistName keys for the songs table and the list of artistName key for the artists table.

Create a local secondary index (LSI) on the songs table that uses artistName as the partition key Perform a query operation for each artistName on the songs table that filters by the list of songName Perform a query operation for each artistName on the artists table

Perform a BatchGetltem operation on the songs table that uses the songName/artistName keys. Perform a BatchGetltem operation on the artists table that uses artistName as the key.

Perform a Scan operation on each table that filters by the list of songName/artistName for the songs table and the list of artistName in the artists table.

Use an Application Load Balancer and the X-Forwarded-For headers.

Use a Network Load Balancer (NLB). Enable proxy protocol support on the NLB and the target application.

Use an Application Load Balancer. Register the targets by the instance ID.

Use a Network Load Balancer and the X-Forwarded-For headers.

Use AWS Amplify for automatic deployment templates. Use a traffic-splitting deployment to copy any deployments. Modify any resources created by Amplify, if necessary.

Use AWS CodeBuild for automatic deployment. Upload the required AppSpec file template. Save the appspec.yml file in the root directory folder of the revision. Specify the deployment group that includes the EC2 instances for the deployment.

Use AWS CloudFormation to create an infrastructure template in JSON format to deploy the EC2 instances. Use Cloud Formation helper scripts to install the necessary software and to start the application. Call the scripts directly from the template.

Use AWS AppSync to deploy the application. Upload the template as a GraphQL schema. Specify the EC2 instances for deployment of the application. Use resolvers as a version control mechanism and to make any updates to the deployments.

Use a multi-AZ Amazon RDS deployment. Increase the number of connections that the code makes to the database or increase the connection pool size if a connection pool is in use.

Use a multi-AZ Amazon RDS deployment. Modify the code so that queries access the secondary RDS instance.

Deploy Amazon RDS with one or more read replicas. Modify the application code so that queries use the URL for the read replicas.

Use open source replication software to create a copy of the MySQL database on an Amazon EC2 instance. Modify the application code so that queries use the IP address of the EC2 instance.

Set up a cron job on an Amazon EC2 instance Run a script every hour to query the table for changes and process the documents

Enable a DynamoDB stream on the table Invoke an AWS Lambda function to process the documents.

Update the application to send a PutEvents request to Amazon EventBridge. Create an EventBridge rule to invoke an AWS Lambda function to process the documents.

Update the application to synchronously process the documents directly after the DynamoDB write

Create an Amazon EventBridge rule Configure the rule with a pattern to match the S3 object created event

Schedule an Amazon EventBridge rule to run a new Lambda function to scan the S3 bucket.

Add a trigger to the existing Lambda function. Set the trigger type to EventBridge Select the Amazon EventBridge rule.

Create a new Lambda function to scan the S3 bucket for recently added S3 objects

Add S3 Lifecycle rules to invoke the existing Lambda function

Amazon S3

AWS CloudTrail

Amazon CloudWatch

Amazon DynamoDB

Configure auto-scaling for the DynamoDB table with a target utilization of 70%. Set the minimum and maximum capacity units based on the expected workload.

Use DynamoDB on-demand capacity mode for the table. Specify a maximum throughput higher than the expected peak read and write capacity units.

Use DynamoDB provisioned throughput mode for the table. Create an Amazon CloudWatch alarm on the ThrottledRequests metric. Invoke an AWS Lambda function to increase provisioned capacity.

Create an Amazon DynamoDB Accelerator (DAX) cluster. Configure the application to use the DAX endpoint.

Define a development stage on the API Gateway API. Instruct the other developers to point the endpoints to the development stage.

Define a new API Gateway API that points to the new API application code. Instruct the other developers to point the endpoints to the new API.

Implement a query parameter in the API application code that determines which code version to call.

Specify new API Gateway endpoints for the API endpoints that the developer wants to add.

Create an Amazon RDS instance, then implement session handling at the application level to leverage a database inside the RDS database instance for session data storage.

Implement a shared file system solution across the underlying Amazon EC2 instances, then implement session handling at the application level to leverage the shared file system for session data storage.

Create an Amazon ElastiCache (Memcached) cluster, then implement session handling at the application level to leverage the cluster for session data storage.

Create an Amazon DynamoDB table, then implement session handling at the application level to leverage the table for session data storage.

Create a separate CloudFormation template for each EC2 instance type in the list.

In the Resources section of the CloudFormation template, create resources for each EC2 instance type in the list.

In the CloudFormation template, create a separate parameter for each EC2 instance type in the list.

In the CloudFormation template, create a parameter with the list of EC2 instance types as AllowedValues.

Create sample events based on the Lambda documentation. Create automated test scripts that use the cdk local invoke command to invoke the Lambda functions. Check the response Document the test scripts for the other developers on the team Update the CI/CD pipeline to run the test scripts.

Install a unit testing framework that reproduces the Lambda execution environment. Create sample events based on the Lambda Documentation Invoke the handler function by using a unit testing framework. Check the response Document how to run the unit testing framework for the other developers on the team. Update the OCD pipeline to run the unit testing framework.

Install the AWS Serverless Application Model (AWS SAW) CLI tool Use the Sam local generate-event command to generate sample events for me automated tests. Create automated test scripts that use the Sam local invoke command to invoke the Lambda functions. Check the response Document the test scripts tor the other developers on the team Update the CI/CD pipeline to run the test scripts.

Create sample events based on the Lambda documentation. Create a Docker container from the Node is base image to invoke the Lambda functions. Check the response Document how to run the Docker container for the more developers on the team update the CI/CD pipeline to run the Docker container.

Create multiple S3 bucket polices by using each VPC endpoint ID that have the aws SourceVpce value in the StringNotEquals condition.

Create a single S3 bucket policy that has the aws SourceVpc value and in the StingNotEquals condition to use VPC ID.

Create a single S3 bucket policy that the multiple aws SourceVpce value and in the SringNotEquals condton to use vpce.

Create a single S3 bucket policy that has multiple aws sourceVpce value in the StingNotEquale condition. Repeat for all the VPC endpoint IDs.