Amazon DOP-C01 Quiz 16 Topic 3 Questions 76-80

Question: 1

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?

APreconfigure 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.

BPreconfigure 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.

CUse 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.

DPreconfigure 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.

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Question: 2

A Developer is maintaining a fleet of 50 Amazon EC2 Linux servers. The servers are part of an Amazon EC2 Auto Scaling group, and also use Elastic Load

Balancing for load balancing.

Occasionally, some application servers are being terminated after failing ELB HTTP health checks. The Developer would like to perform a root cause analysis on the issue, but before being able to access application logs, the server is terminated.

How can log collection be automated?

AUse Auto Scaling lifecycle hooks to put instances in a Pending:Wait state. Create an Amazon CloudWatch Alarm for EC2 Instance Terminate and trigger an AWS Lambda function that executes an SSM Run Command script to collect logs, push them to Amazon S3, and complete the Successful lifecycle action once logs are collected.

BUse Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create a Config rule for EC2 Instance-terminate Lifecycle and trigger a step function that executes a script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected. Action

CUse Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create an Amazon CloudWatch subscription filter for EC2 Instance and trigger a CloudWatch agent that executes a script to called logs, push them to Amazon S3, and complete the lifecycle action Terminate Successful once logs are collected.

DUse Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create an Amazon CloudWatch Events rule for EC2 Instance- and trigger an AWS Lambda function that executes a SSM Run Command script to collect logs, push them to Amazon S3, terminate Lifecycle Action and complete the lifecycle action once logs are collected.

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Question: 3

A publishing company used AWS Elastic Beanstalk, Amazon S3, and Amazon DynamoDB to develop a web application. The web application has increased dramatically in popularity, resulting in unpredictable spikes in traffic. A DevOps Engineer has noted that 90% of the requests are duplicate read requests.

How can the Engineer improve the performance of the website?

AUse Amazon ElastiCache for Redis to cache repeated read requests to DynamoDB and AWS Elemental MediaStore to cache images stored in S3.

BUse Amazon ElastiCache for Memcached to cache repeated read requests to DynamoDB and Varnish to cache images stored in S3.

CUse DynamoDB Accelerator to cache repeated read requests to DynamoDB and Amazon CloudFront to cache images stored in S3.

DUse DynamoDB Streams to cache repeated read requests to DynamoDB and API Gateway to cache images stored in S3.

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Question: 4

A company is creating a software solution that executes a specific parallel-processing mechanism. The software can scale to tens of servers in some special scenarios. This solution uses a proprietary library that is license-based, requiring that each individual server have a single, dedicated license installed. The company has 200 licenses and is planning to run 200 server nodes concurrently at most.

The company has requested the following features:

" A mechanism to automate the use of the licenses at scale. " Creation of a dashboard to use in the future to verify which licenses are available at any moment.

What is the MOST effective way to accomplish these requirements?

AUpload the licenses to a private Amazon S3 bucket. Create an AWS CloudFormation template with a Mappings section for the licenses. In the template, create an Auto Scaling group to launch the servers. In the user data script, acquire an available license from the Mappings section. Create an Auto Scaling lifecycle hook, then use it to update the mapping after the instance is terminated.

BUpload the licenses to an Amazon DynamoDB table. Create an AWS CloudFormation template that uses an Auto Scaling group to launch the servers. In the user data script, acquire an available license from the DynamoDB table. Create an Auto Scaling lifecycle hook, then use it to update the mapping after the instance is terminated.

CUpload the licenses to a private Amazon S3 bucket. Populate an Amazon SQS queue with the list of licenses stored in S3. Create an AWS CloudFormation template that uses an Auto Scaling group to launch the servers. In the user data script acquire an available license from SQS. Create an Auto Scaling lifecycle hook, then use it to put the license back in SQS after the instance is terminated.

DUpload the licenses to an Amazon DynamoDB table. Create an AWS CLI script to launch the servers by using the parameter --count, with min:max instances to launch. In the user data script, acquire an available license from the DynamoDB table. Monitor each instance and, in case of failure, replace the instance, then manually update the DynamoDB table.

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Question: 5

A company has developed a static website hosted on an Amazon S3 bucket. The website is deployed using AWS CloudFormation. The CloudFormation template defines an S3 bucket and a custom resource that copies content into the bucket from a source location.

The company has decided that it needs to move the website to a new location, so the existing CloudFormation stack must be deleted and re-created. However,

CloudFormation reports that the stack could not be deleted cleanly.

What is the MOST likely cause and how can the DevOps Engineer mitigate this problem for this and future versions of the website?

ADeletion has failed because the S3 bucket has an active website configuration. Modify the CloudFormation template to remove the Website Configuration property from the S3 bucket resource.

BDeletion has failed because the S3 bucket is not empty. Modify the custom resource's AWS Lambda function code to recursively empty the bucket when is Delete. RequestType

CDeletion has failed because the custom resource does not define a deletion policy. Add a Deletion Policy property to the custom resource definition with a value of RemoveOnDeletion.

DDeletion has failed because the S3 bucket is not empty. Modify the S3 bucket resource in the CloudFormation template to add a Deletion Policy property with a value of Empty.

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Amazon DOP-C01 Quiz:16 Topic:3 Questions:76-80