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質問 36
When using Amazon SQS how much data can you store in a message?
- A. 8 KB
- B. 16 KB
- C. 2 KB
- D. 4 KB
正解: A
解説:
With Amazon SQS version 2008-01-01, the maximum message size for both SOAP and Query requests is 8KB.
If you need to send messages to the queue that are larger than 8 KB, AWS recommends that you split the information into separate messages. Alternatively, you could use Amazon S3 or Amazon SimpleDB to hold the information and include the pointer to that information in the Amazon SQS message. If you send a message that is larger than 8KB to the queue, you will receive a MessageTooLong error with HTTP code 400.
質問 37
You have an application running on multiple Amazon EC2 instances within an Auto Scaling group.
You notice that instances are being re-spawned as their health checks are failing in Amazon EC2.
However, before you have a chance to diagnose the issue, the affected instances are being terminated by the Auto Scaling service.
You receive notifications of health checks failing and investigate within 20 minutes.
However, this is not enough time to troubleshoot the issue.
What should you change that will enable you to troubleshoot the instance before it is terminated by the Auto Scaling service, while keeping costs minimal?
- A. Configure an Amazon SNS topic and associate it with your Auto Scaling group's CloudWatch alarms.
Configure an Amazon SQS queue as a subscriber of this topic, and then create a fleet of Amazon EC2 workers that poll this queue and instruct the Amazon EC2 Auto Scaling API to remove the instance from the Auto Scaling group when an alarm is triggered. - B. Change the "DeleteOnTermination" flag to false in the Auto Scaling group configuration to ensure that instances are not deleted in the future.
- C. Create an Auto Scaling Group lifecycle hook to hold the instance in a terminating:wait state until you have completed any troubleshooting.
When you have completed troubleshooting, wait for the terminating state to expire, or notify to Scaling to complete the lifecycle hook and terminate the Instance. - D. Install the Amazon CloudWatch Logs Agent on the instance and configure application and system logs to be sent to the CloudWatch Logs service.
正解: C
質問 38
You would like to run automated, continuous application level integration tests on all members of an Auto Scaling group. Which two options should you use?
Choose 2 answers.
- A. Set up a custom CloudWatch metric with the output of your integration tests that are run by a scheduled process on each instance, and then set up a CloudWatch alert for any failures.
- B. Using the Auto Cycle Group lifecycle policy, define a scheduled task to run integration tests on individual instances using the Amazon EC2 user data to export test data to CloudWatch Logs.
- C. Using an Auto Cycle Group lifecycle policy, define a scheduled task to run integration tests when a new Amazon EC2 instance enters the InService state.
- D. Use the AWS SDK to run the DescribeAutoScalinglnstances API call on the Auto Scaling Group, iterate over the members using the Describe Instances API call, remotely connect to each Amazon EC2 instance, and then run the integration tests.
- E. Use the AWS SDK to run the DescribeInstances API call on the Auto Scaling group, and then iterate over the members and remotely connect to each Amazon EC2 instance and run the integration tests.
- F. Set up a custom CloudWatch metric that uses the output of the DescribeAutoScalingInstances API call to determine the HealthCheck status of the Amazon EC2 instances.
正解: A,D
質問 39
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. Create a new Auto Scaling Launch Configuration with UserData scripts configured to pull the latest code at all times.
- B. Bake an AMI when deploying new versions of code, and use that AMI for the Auto Scaling Launch Configuration.
- 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 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.
正解: B
解説:
The bootstrapping process can be slower if you have a complex application or multiple applications to install.
Managing a fleet of applications with several build tools and dependencies can be a challenging task during rollouts. Furthermore, your deployment service should be designed to do faster rollouts to take advantage of Auto Scaling.
Reference:
https://d0.awsstatic.com/whitepapers/overview-of-deployment-options-on-aws.pdf
質問 40
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