SOA-C02 Dumps with Practice Exam Questions Answers

In the CPU launch options for the Lambda function, activate hyperthreading.

Turn off the AWS managed encryption.

Increase the amount of memory for the Lambda function.

Load the required code into a custom layer.

Create a shell script that uses the AWS CLI. Configure the shell script to list all the instances and to create a snapshot of each instance. Launch a new instance to host the shell script. Set up a cron job to run the shell script every 24 hours.

Use the EC2 console to enable the Auto Recovery option for each instance. Schedule the Auto Recovery option to run every 24 hours.

Create a shell script that creates a daily cron job on the instances. Configure the cron job to use the AWS CLI to create a snapshot of each instance. Ensure that the instance profile has the required permissions to create a snapshot. Add the shell script to run as part of the instance user data.

Use AWS Backup to create a backup plan that uses a daily default template. Specify the EC2 instances as the resources to back up.

Create a Systems Manager Distributor package that includes the auditing software. Store the package in an Amazon S3 bucket. Create a Systems Manager State Manager association in each Region to install the software package on all managed instances in the company's AWS account.

Load the installer for the auditing software into an Amazon S3 bucket. Connect to every instance by using Systems Manager Fleet Manager Remote Desktop. Download the installer by using the AWS CLI. Run the installer manually.

Create an AWS Lambda function that calls the software installer. Merge the auditing software into the Lambda function by using Lambda layers. Run the Lambda function from each instance by using a scheduled Amazon EventBridge rule.

Create an Amazon EventBridge rule to react to Amazon EC2 RunInstances events. Configure the rule to modify the events to include a step that runs the software installer. Reboot all the instances.

Create an AWS Config rule to discover sensitive personal information in the S3 files and mark them as noncompliant.

Create an S3 event-driven artificial intelligence/machine learning (AI/ML) pipeline to classify sensitive personal information by using Amazon Recognition.

Enable Amazon GuardDuty. Configure S3 protection to monitor all data inside Amazon S3.

Enable Amazon Macie. Create a discovery job that uses the managed data identifier.

Create an Amazon Elastic File System (Amazon EFS) file system. Create a new launch template version that includes user data that mounts the EFS file system. Update the Auto Scaling group to use the new launch template version to cycle in newer EC2 instances and to terminate the older EC2 instances.

Enable Multi-Attach on the EBS volumes. Create a new launch template version that includes user data that mounts the EBS volume. Update the Auto Scaling group to use the new template version to cycle in newer EC2 instances and to terminate the older EC2 instances.

Create a cron job that synchronizes the data between the EBS volumes for all the EC2 instances in the Auto Scaling group. Create a lifecycle hook during instance launch to configure the cron job on all the EC2 instances. Rotate out the older EC2 instances.

Create a new launch template version that creates an Amazon Elastic File System (Amazon EFS) file system. Update the Auto Scaling group to use the new template version to cycle in newer EC2 instances and to terminate the older EC2 instances.