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NEW QUESTION: 1
You are building out a layer in a software stack on AWS that needs to be able to scale out to react to increased demand as fast as possible. You are running the code on EC2 instances in an Auto Scaling Group behind an ELB. Which application code deployment method should you use?
A. Bake an AMI when deploying new versions of code, and use that AMI for the Auto Scaling Launch Configuration.
B. Create a Dockerfile when preparing to deploy a new version to production and publish it to S3. Use UserData in the Auto Scaling Launch configuration to pull down the Dockerfile from S3 and run it when new instances launch.
C. SSH into new instances that come online, and deploy new code onto the system by pulling it from an S3 bucket, which is populated by code that you refresh from source control on new pushes.
D. Create a new Auto Scaling Launch Configuration with UserData scripts configured to pull the latest code at all times.
Answer: A
Explanation:
Explanation
Since the time required to spin up an instance is required to be fast, its better to create an AMI rather than use User Data. When you use User Data, the script will be run during boot up, and hence this will be slower.
An Amazon Machine Image (AMI) provides the information required to launch an instance, which is a virtual server in the cloud. You specify an AM I when you launch an instance, and you can launch as many instances from the AMI as you need. You can also launch instances from as many different AMIs as you need.
For more information on the AMI, please refer to the below link:
* http://docs.aws.amazon.com/AWSCC2/latest/UserGuide/AMIs.html

NEW QUESTION: 2
Some judicial
circuits use a multifactor
test to determine whether compensation is reasonable or excessive. For example, the Ninth Circuit has used a five-factor test. Which of the following is out of those factors?
A. The employee's role in the company
B. Compensation paid to similarly situated employees in similar companies
C. All of these
D. The character and condition of the company
Answer: C

NEW QUESTION: 3
사용자는 특정 이벤트를 기반으로 데이터를 임의로 생성합니다. 사용자는 해당 데이터를 CloudWatch에 업로드하려고 합니다. 임의성으로 인해 일정 기간 동안 데이터가 생성되지 않을 수 있습니다. 아래에 언급된 옵션 중 이 경우에 권장되는 옵션은 무엇입니까?
A. 데이터가 없는 기간 동안 사용자는 데이터를 전혀 보내지 않아야 합니다
B. 데이터가 없는 기간 동안 사용자는 값을 0으로 보내야 합니다
C. 데이터가 없는 기간 동안 사용자는 빈 값을 보내야 합니다
D. 일정 기간 동안 데이터가 없으면 CloudWatch 모니터링시 오류가 발생하므로 사용자는 CloudWatch에 데이터를 업로드해야 합니다.
Answer: B
Explanation:
AWS CloudWatch supports the custom metrics. The user can always capture the custom data and upload the data to CloudWatch using CLI or APIs. When the user data is more random and not generated at regular intervals, there can be a period which has no associated data. The user can either publish the zero (0) value for that period or not publish the data at all. It is recommended that the user should publish zero instead of no value to monitor the health of the application. This is helpful in an alarm as well as in the generation of the sample data count.
Reference:
http://docs.aws.amazon.com/AmazonCloudWatch/latest/DeveloperGuide/publishingMetrics.html


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