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NEW QUESTION 28
During a security audit of a Service team's application a Solutions Architect discovers that a username and password tor an Amazon RDS database and a set of AWSIAM user credentials can be viewed in the AWS Lambda function code. The Lambda function uses the username and password to run queries on the database and it uses the I AM credentials to call AWS services in a separate management account.
The Solutions Architect is concerned that the credentials could grant inappropriate access to anyone who can view the Lambda code The management account and the Service team's account are in separate AWS Organizations organizational units (OUs) Which combination of changes should the Solutions Architect make to improve the solution's security? (Select TWO)

A. Enable AWS Shield Advanced on the management account to shield sensitive resources from unauthorized IAM accessB. Configure Lambda to assume a role in the management account with appropriate access to AWSC. Create a Lambda function to rotate the credentials every hour by deploying a new Lambda version with the updated credentialsD. Use an SCP on the management accounts OU to prevent IAM users from accessing resources m the Service team's accountE. Configure Lambda to use the stored database credentials in AWS Secrets Manager and enable automatic rotation

Answer: D,E

 

NEW QUESTION 29
A Solutions Architect has created an AWS CloudFormation template for a three-tier application that contains an Auto Scaling group of Amazon EC2 instances running a custom AMI.
The Solutions Architect wants to ensure that future updates to the custom AMI can be deployed to a running stack by first updating the template to refer to the new AMI, and then invoking UpdateStack to replace the EC2 instances with instances launched from the new AMI.
How can updates to the AMI be deployed to meet these requirements?

A. Create a change set for a new version of the template, view the changes to the running EC2 instances to ensure that the AMI is correctly updated, and then execute the change set.B. Edit the AWS::AutoScaling:: AutoScalingGroup resource in the template, inserting an UpdatePolicy attribute.C. Edit the AWS::AutoScaling::LaunchConfiguration resource in the template, changing its DeletionPolicy to Replace.D. Create a new stack from the updated template. Once it is successfully deployed, modify the DNS records to point to the new stack and delete the old stack.

Answer: B

Explanation:
Explanation
References:
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-as-launchconfig.html

 

NEW QUESTION 30
The company Security team requires that all data uploaded into an Amazon S3 bucket must be encrypted. The encryption keys must be highly available and the company must be able to control access on a per-user basis, with different users having access to different encryption keys.
Which of the following architectures will meet these requirements? (Choose two.)

A. Use Amazon S3 server-side encryption with customer-managed keys, and use two AWS CloudHSM instances configured in high-availability mode to manage the keys. Use IAM to control access to the keys that are generated in CloudHSM.B. Use Amazon S3 server-side encryption with Amazon S3-managed keys. Allow Amazon S3 to generate an AWS/S3 master key, and use IAM to control access to the data keys that are generated.C. Use Amazon S3 server-side encryption with customer-managed keys, and use AWS CloudHSM to manage the keys. Use CloudHSM client software to control access to the keys that are generated.D. Use Amazon S3 server-side encryption with customer-managed keys, and use two AWS CloudHSM instances configured in high-availability mode to manage the keys. Use the Cloud HSM client software to control access to the keys that are generated.E. Use Amazon S3 server-side encryption with AWS KMS-managed keys, create multiple customer master keys, and use key policies to control access to them.

Answer: D,E

Explanation:
http://websecuritypatterns.com/blogs/2018/03/01/encryption-and-key-management-in-aws-kms-vs-cloudhsm-myths-and-realities/

 

NEW QUESTION 31
A company runs a video processing platform. Files are uploaded by users who connect to a web server, which stores them on an Amazon EFS share. This web server is running on a single Amazon EC2 instance. A different group of instances, running in an Auto Scaling group, scans the EFS share directory structure for new files to process and generates new videos (thumbnails, different resolution, compression, etc.) according to the instructions file, which is uploaded along with the video files. A different application running on a group of instances managed by an Auto Scaling group processes the video files and then deletes them from the EFS share. The results are stored in an S3 bucket. Links to the processed video files are emailed to the customer.
The company has recently discovered that as they add more instances to the Auto Scaling Group, many files are processed twice, so image processing speed is not improved. The maximum size of these video files is
2GB.
What should the Solutions Architect do to improve reliability and reduce the redundant processing of video files?

A. Set up a cron job on the web server instance to synchronize the contents of the EFS share into Amazon S3. Trigger an AWS Lambda function every time a file is uploaded to process the video file and store the results in Amazon S3. Using Amazon CloudWatch Events trigger an Amazon SES job to send an email to the customer containing the link to the processed file.B. Rewrite the web application to run directly from Amazon S3 and use Amazon API Gateway to upload the video files to an S3 bucket. Use an S3 trigger to run an AWS Lambda function each time a file is uploaded to process and store new video files in a different bucket. Using CloudWatch Events, trigger an SES job to send an email to the customer containing the link to the processed file.C. Rewrite the application to run from Amazon S3 and upload the video files to an S3 bucket. Each time a new file is uploaded, trigger an AWS Lambda function to put a message in an SQS queue containing the link and the instructions. Modify the video processing application to read from the SQS queue and the S3 bucket. Use the queue depth metric to adjust the size of the Auto Scaling group for video processing instances.D. Modify the web application to upload the video files directly to Amazon S3. Use Amazon CloudWatch Events to trigger an AWS Lambda function every time a file is uploaded, and have this Lambda function put a message into an Amazon SQS queue. Modify the video processing application to read from SQS queue for new files and use the queue depth metric to scale instances in the video processing Auto Scaling group.

Answer: A

 

NEW QUESTION 32
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