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NEW QUESTION 53
You have an Auto Scaling group with an Elastic Load Balancer. You decide to suspend the Auto Scaling
AddToLoadBalancer for a short period of time. What will happen to the instances launched during the
suspension period?

A. It is not possible to suspend the AddToLoadBalancer processB. The instances will be registered with ELB once the process has resumedC. Auto Scaling will not launch the instances during this period because of the suspensionD. The instances will not be registered with ELB. You must manually register when the process is resumed
*/

Answer: D

Explanation:
Explanation
If you suspend AddTo Load Balancer, Auto Scaling launches the instances but does not add them to the load
balancer or target group. If you resume
the AddTo Load Balancer process. Auto Scaling resumes adding instances to the load balancer or target group
when they are launched. However, Auto Scaling does
not add the instances that were launched while this process was suspended. You must register those instances
manually.
For more information on the Suspension and Resumption process, please visit the below U RL:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/as-suspend-resu
me-processes.html

 

NEW QUESTION 54
A DevOps Engineer has a single Amazon DynamoDB table that received shipping orders and tracks inventory.
The Engineer has three AWS Lambda functions reading from a DymamoDB stream on that table. The Lambda functions perform various functions such as doing an item count, moving items to Amazon Kinesis Data Firehose, monitoring inventory levels, and creating vendor orders when parts are low.
While reviewing logs, the Engineer notices the Lambda functions occasionally fail under increased load, receiving a stream throttling error.
Which is the MOST cost-effective solution that requires the LEAST amount of operational management?

A. Have the Lambda functions query the table directly and disable DynamoDB streams. Then have the Lambda functions query from a global secondary index.B. Use AWS Glue integration to ingest the DynamoDB stream, then migrate the Lambda code to an AWS Fargate task.C. Create a fourth Lambda function and configure it to be the only Lambda reading from the stream. Then use this Lambda function to pass the payload to the other three Lambda functions.D. Use Amazon Kinesis streams instead of DynamoDB streams, then use Kinesis analytics to trigger the Lambda functions.

Answer: C

Explanation:
Explanation/Reference:

 

NEW QUESTION 55
An IT team has built an AWS CloudFormation template so others in the company can quickly and reliably deploy and terminate an application. The template creates an Amazon EC2 instance with a user data script to install the application and an Amazon S3 bucket that the application uses to serve static webpages while it is running.
All resources should be removed when the CloudFormation stack is deleted. However, the team observes that CloudFormation reports an error during stack deletion, and the S3 bucket created by the stack is not deleted.
How can the team resolve the error in the MOST efficient manner to ensure that all resources are deleted without errors?

A. Add DeletionPolicy attribute to the S3 bucket resource, with the value Delete forcing the bucket to be removed when the stack is deleted.B. Identify the resource that was not deleted. From the S3 console, empty the S3 bucket and then delete it.C. Add a custom resource when an AWS Lambda function with the DependsOn attribute specifying the S3 bucket, and an IAM role. Writhe the Lambda function to delete all objects from the bucket when the is Delete.
RequestTypeD. Replace the EC2 and S3 bucket resources with a single AWS OpsWorks Stacks resource. Define a custom recipe for the stack to create and delete the EC2 instance and the S3 bucket.

Answer: B

 

NEW QUESTION 56
A DevOps Engineer is designing a deployment strategy for a web application. The application will use an Auto Scaling group to launch Amazon EC2 instances using an AMI. The same infrastructure will be deployed in multiple environments (development, test, and quality assurance). The deployment strategy should meet the following requirements:
* Minimize the startup time for the instance
* Allow the same AMI to work in multiple environments
* Store secrets for multiple environments securely
How should this be accomplished?

A. Preconfigure the AMI by installing all the software and configuration for all environments. Configure Auto Scaling to tag the instances at launch with their environment. Use the Amazon EC2 user data to trigger an AWS Lambda function that reads the instance ID and then reconfigures the setting for the proper environment. Use the AWS Systems Manager Parameter Store to store the secrets using AWS KMS.B. Use a standard AMI from the AWS Marketplace. Configure Auto Scaling to detect the current environment.
Install the software using a script in Amazon EC2 user data. Use AWS Secrets Manager to store the credentials for all environments.C. Preconfigure the AMI by installing all the software using AWS Systems Manager automation and configure Auto Scaling to tag the instances at launch with their specific environment. Then use a bootstrap script in user data to read the tags and configure settings for the environment. Use the AWS Systems Manager Parameter Store to store the secrets using AWS KMS.D. Preconfigure the AMI using an AWS Lambda function that launches an Amazon EC2 instance, and then runs a script to install the software and create the AMI. Configure an Auto Scaling lifecycle hook to determine which environment the instance is launched in, and, based on that finding, run a configuration script. Save the secrets on an .ini file and store them in Amazon S3. Retrieve the secrets using a configuration script in EC2 user data.

Answer: D

 

NEW QUESTION 57
......


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