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NEW QUESTION 52
A company uses AWS Organizations lo manage multiple accounts. Information security policies require that all unencrypted Amazon EBS volumes be marked as non-compliant. A DevOps engineer needs to automatically deploy the solution and ensure that this compliance check is always present.
Which solution will accomplish this?

• A. Create an SCP in Organizations. Set the policy to prevent the launch of Amazon EC2 instances without encryption on the EBS volumes using a conditional expression Apply the SCP to all AWS accounts. Use Amazon Athena to analyze the AWS CloudTrail output, looking for events that deny an ec2: Run instances action.
• B. Create an AWS Config organizational rule lo check whether EBS encryption is enabled and deploy the rule using the AWS CLI. Create and apply an SCP lo prohibit slopping and deleting AWS Config across the organization.
• C. Deploy an IAM role to all accounts from a single trusted account. Build a pipeline with AWS CodePipeline with a stage m AWS Lambda to assume (he IAM role, and list all EBS volumes in the account Publish a report to Amazon S3.
• D. Create an AWS CloudFormation template that defines an AWS Inspector rule to check whether EBS encryption is enabled. Save the template to an Amazon S3 bucket that has been shared with all accounts within the company. Update the account creation script pointing to the CloudFormation template in Amazon S3.

Answer: D

NEW QUESTION 53
A company has developed a Ruby on Rails content management platform. Currently, OpsWorks with several stacks for dev, staging, and production is being used to deploy and manage the application. Now the company wants to start using Python instead of Ruby. How should the company manage the new deployment? Choose the correct answer from the options below

• A. Create a new stack that contains the Python application code and manage separate deployments of the application via the secondary stack using the deploy lifecycle action to implement the application code.
• B. Update the existing stack with Python application code and deploy the application using the deploy life-cycle action to implement the application code.
• C. Create a new stack that contains a new layer with the Python code. To cut over to the new stack the company should consider using Blue/Green deployment
• D. Create a new stack that contains the Python application code and manages separate deployments of the application via the secondary stack.

Answer: C

Explanation:
Explanation
Blue/green deployment is a technique for releasing applications by shifting traffic between two identical environments running different versions of the application.
Blue/green deployments can mitigate common risks associated with deploying software, such as downtime and rollback capability. Please find the below link on a white paper for blue green

deployments
* https://d03wsstatic.com/whitepapers/AWS_Blue_Green_Deployments.pdf

NEW QUESTION 54
Your company operates a website for promoters to sell tickets for entertainment events.
You are using a load balancer in front of an Auto Scaling group of web servers. Promotion of popular events can cause surges of website visitors.
During scaling-out at these times, newly launched instances are unable to complete configuration quickly enough, leading to user disappointment.
What options should you choose to improve scaling yet minimize costs? Choose 2 answers.

• A. Configure an Amazon S3 bucket for website hosting. Upload into the bucket an HTML holding page with its x-amz-website-redirect-location' metadata property set to the load balancer endpoint.
  Configure Elastic Load Balancing to redirect to the holding page when the load on web servers is above a certain level.
• B. Create an AMI with the application pre-configured.
  Create a new Auto Scaling launch configuration using this new AMI, and configure the Auto Scaling group to launch with this AMI.
• C. Use the history of past scaling events for similar event sales to predict future scaling requirements.
  Use the Auto Scaling scheduled scaling feature to vary the size of the fleet.
• D. Use Auto Scaling pre-warming to launch instances before they are required.
  Configure pre-warming to use the CPU trend CloudWatch metric for the group.
• E. Publish a custom CloudWatch memo from your application on the number of tickets sold, and create an Auto Scaling policy based on this.

Answer: B,C

NEW QUESTION 55
A DevOps Engineer is working with an application deployed to 12 Amazon EC2 instances across 3 Availability Zones. New instances can be started from an AMI image. On a typical day, each EC2 instance has
30% utilization during business hours and 10% utilization after business hours. The CPU utilization has an immediate spike in the first few minutes of business hours. Other increases in CPU utilization rise gradually.
The Engineer has been asked to reduce costs while retaining the same or higher reliability.
Which solution meets these requirements?

• A. Create an Amazon EC2 Auto Scaling group using the AMI image, with a scaling action based on the Auto Scaling group's CPU Utilization average with a target of 75%. Create a scheduled action for the group to adjust the minimum number of instances to three after business hours end and reset to six before business hours begin.
• B. Create an EC2 Auto Scaling group using the AMI image, with a scaling action based on the Auto Scaling group's CPU Utilization average with a target of 75%. Create a scheduled action to terminate nine instances each evening after the close of business.
• C. Create two Amazon CloudWatch Events rules with schedules before and after business hours begin and end. Create an AWS CloudFormation stack, which creates an EC2 Auto Scaling group, with a parameter for the number of instances. Invoke the stack from each rule, passing a parameter value of three in the morning, and six in the evening.
• D. Create two Amazon CloudWatch Events rules with schedules before and after business hours begin and end. Create two AWS Lambda functions, one invoked by each rule. The first function should stop nine instances after business hours end, the second function should restart the nine instances before the business day begins.

Answer: A

NEW QUESTION 56
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. 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.
• B. Use Amazon Kinesis streams instead of DynamoDB streams, then use Kinesis analytics to trigger the Lambda functions.
• C. Use AWS Glue integration to ingest the DynamoDB stream, then migrate the Lambda code to an AWS Fargate task.
• D. Have the Lambda functions query the table directly and disable DynamoDB streams. Then have the Lambda functions query from a global secondary index.

Answer: A

NEW QUESTION 57
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