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NEW QUESTION 21
A company is adopting AWS CodeDeploy to automate its application deployments for a Java-Apache Tomcat application with an Apache webserver. The Development team started with a proof of concept, created a deployment group for a developer environment, and performed functional tests within the application. After completion, the team will create additional deployment groups for staging and production The current log level is configured within the Apache settings, but the team wants to change this configuration dynamically when the deployment occurs, so that they can set different log level configurations depending on the deployment group without having a different application revision for each group.
How can these requirements be met with the LEAST management overhead and without requiring different script versions for each deployment group?

  • A. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_NAME to identify which deployment group the instances is part of. Use this information to configure the log level settings. Reference this script as part of the Beforelnstall lifecycle hook in the appspec.yml file
  • B. Tag the Amazon EC2 instances depending on the deployment group. Then place a script into the application revision that calls the metadata service and the EC2 API to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference the script as part of the AfterInstall lifecycle hook in the appspec.yml file.
  • C. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ID to identify which deployment group the instance is part of to configure the log level settings. Reference this script as part of the Install lifecycle hook in the appspec.yml file.
  • D. Create a CodeDeploy custom environment variable for each environment. Then place a script into the application revision that checks this environment variable to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the ValidateService lifecycle hook in the appspec.yml file.

Answer: D

 

NEW QUESTION 22
You are responsible for your company's large multi-tiered Windows-based web application running on Amazon EC2 instances situated behind a load balancer. While reviewing metrics, you've started noticing an upwards trend for slow customer page load time. Your manager has asked you to come up with a solution to ensure that customer load time is not affected by too many requests per second. Which technique would you use to solve this issue?

  • A. Re-deploy your infrastructure usingan AWS CloudFormation template. Configure Elastic Load Balancing health checks to initiate a new AWS CloudFormation stack when health checks return failed.
  • B. Re-deploy your infrastructure using an AWS CloudFormation template. Spin up a second AWS CloudFormation stack. Configure Elastic Load Balancing SpillOver functionality to spill over any slow connections to the second AWS CloudFormation stack.
  • C. Re-deploy your infrastructure using AWS CloudFormation, Elastic Beanstalk, and Auto Scaling. Set up your Auto Scalinggroup policies to scale based on the number of requests per second as well as the current customer load time. *>/ D- Re-deploy your application using an Auto Scaling template. Configure the Auto Scaling template to spin up a new Elastic Beanstalk application when the customer load time surpasses your threshold.

Answer: C

Explanation:
Explanation
Auto Scaling helps you ensure that you have the correct number of Amazon CC2 instances available to handle the load for your application. You create collections of CC2 instances, called Auto Scaling groups. You can specify the minimum number of instances in each Auto Scaling group, and Auto Scaling ensures that your group never goes below this size. You can specify the maximum number of instances in each Auto Scaling group, and Auto Scaling ensures that yourgroup never goes above this size. If you specify the desired capacity, either when you create the group or at any time thereafter.
Auto Scaling ensures that yourgroup has this many
instances. If you specify scaling policies, then Auto Scaling can launch or terminate instances as demand on your application increases or decreases.
Option A and B are invalid because Autoscaling is required to solve the issue to ensure the application can handle high traffic loads.
Option D is invalid because there is no Autoscaling template.
For more information on Autoscaling, please refer to the below document link: from AWS
* http://docs.aws.amazon.com/autoscaling/latest/userguide/WhatlsAutoScaling.html

 

NEW QUESTION 23
Which of the below 3 things can you achieve with the Cloudwatch logs service? Choose 3 options.

  • A. RecordAPI calls for your AWS account and delivers log files containing API calls toyour Amazon S3 bucket
  • B. Streamthe log data to Amazon Kinesis
  • C. Streamthe log data into Amazon Elasticsearch in near real-time with Cloud Watch Logssubscriptions.
  • D. Sendthe log data to AWS Lambda for custom processing or to load into other systems

Answer: B,C,D

Explanation:
Explanation
You can use Amazon CloudWatch Logs to monitor, store, and access your log files from Amazon Elastic Compute Cloud (Amazon L~C2) instances, AWS CloudTrail, and other sources. You can then retrieve the associated log data from CloudWatch Logs.
For more information on Cloudwatch logs, please visit the below URL
* http://docs.ws.amazon.com/AmazonCloudWatch/latest/logs/WhatlsCloudWatchLogs.html

 

NEW QUESTION 24
Your CTO has asked you to make sure that you know what all users of your AWS account are doing to change
resources at all times. She wants a report of who is doing what over time, reported to her once per week, for as
broad a resource type group as possible. How should you do this?

  • A. Use AWS 1AM credential reports to deliver a CSV of all uses of 1AM UserTokens overtime to the
    CTO.
  • B. Use AWS Config with an SNS subscription on a Lambda, and insert these changes over time into a
    DynamoDB table. Generate reports based on the contents of this table.
  • C. Create a global AWS CloudTrail Trail. Configure a script to aggregate the log data delivered to S3 once
    per week and deliver this to the CTO.
  • D. Use CloudWatch Events Rules with an SNS topic subscribed to all AWS API calls. Subscribe the CTO
    to an email type delivery on this SNS Topic.

Answer: C

Explanation:
Explanation
AWS CloudTrail is an AWS service that helps you enable governance, compliance, and operational and risk
auditing of your AWS account. Actions taken by a user, role, or an AWS service are recorded as events in
CloudTrail. Events include actions taken in the AWS Management Console, AWS Command Line Interface,
and AWS SDKs and APIs.
Visibility into your AWS account activity is a key aspect of security and operational best practices. You can
use CloudTrail to view, search, download, archive, analyze,
and respond to account activity across your AWS infrastructure. You can identify who or what took which
action, what resources were acted upon, when the event occurred, and other details to help you analyze and
respond to activity in your AWS account.
For more information on Cloudtrail, please visit the below URL:
* http://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-user-guide.html

 

NEW QUESTION 25
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