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Exam AWS-SysOps topic 1 question 528 discussion

Exam question from Amazon's AWS-SysOps
Question #: 528
Topic #: 1
[All AWS-SysOps Questions]

A Development team has an application stack consisting of many OS dependencies and language runtime dependencies. When deploying the application to production, the most important factor is how quickly the instance is operational.
What deployment methodology should be used to update the running environments to meet the requirement?

  • A. Use fully baked AMIs (ג€golden imagesג€) created after each successful build, creating a new Auto Scaling group, and blue/green deployments with rollbacks.
  • B. Use user-data scripts to configure the instance correctly on boot by installing all dependencies when needed.
  • C. Use an AWS Lambda function to only update the application locally on each instance, then re-attach it to the load balancer when the process complete.
  • D. Use AWS OpsWorks scripts to execute on reboot of each instance to install all known dependencies, then re-attach the instances to the load balancer.
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Suggested Answer: A 🗳️

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albert_kuo
10 months ago
Selected Answer: A
In this approach, fully baked Amazon Machine Images (AMIs) are created after each successful build, which include all the necessary OS dependencies and language runtime dependencies. These AMIs serve as golden images that are ready to be deployed in production environments. To update the running environments quickly, a new Auto Scaling group can be created using the latest AMI. This allows for easy scaling and management of instances. Additionally, blue/green deployments can be utilized, where the new instances using the updated AMI are created alongside the existing instances running the previous version. Traffic can be gradually shifted to the new instances, allowing for testing and validation before fully transitioning. If any issues arise during the deployment, rollbacks can be performed by switching traffic back to the previous instances running the previous version.
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m0h3n
2 years, 6 months ago
Ans:A Most efficient option.
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