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Answer: Containerize the micro-services and host them in Google Kubernetes Engine.
The correct answer is D: Containerize the micro-services and host them in Google Kubernetes Engine (GKE). This approach aligns with the business requirement to improve agility and speed of innovation through rapid provisioning of new resources. Containerizing the microservices ensures efficient use of resources and makes it easier to deploy and scale services independently. Hosting them in GKE on-premises also simplifies the migration process to the cloud, as the infrastructure will already be compatible with Google's cloud environment. This helps in building a reliable and reproducible environment that can scale efficiently, meeting both current business requirements and future growth needs.
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Refer to the Dress4Win case study. Dress4Win is a web-based company that helps users organize and manage their personal wardrobe using a web app and mobile application. They also have an active social network connecting users with designers and retailers. The company hosts its infrastructure in a single colocated data center but is now committing to a full migration to a public cloud due to rapid growth. Their infrastructure includes several hundred servers and appliances running Ubuntu LTS v16.04. The setup consists of MySQL servers for data storage, a Redis cluster for caching, compute servers running applications on Tomcat and Nginx, Hadoop/Spark servers for data analysis, RabbitMQ servers for messaging, and miscellaneous servers for Jenkins, monitoring, bastion hosts, and security scanners. Their storage appliances include iSCSI and Fiber Channel SANs, totaling 1 PB of storage. They face challenges in building a reliable, scalable, and secure environment while improving business agility and optimizing for performance in the cloud. They need to make changes to their on-premises architecture to meet business requirements before fully migrating the solution. What change in the on-premises architecture should you make?
A
Replace RabbitMQ with Google Pub/Sub.
B
Downgrade MySQL to v5.7, which is supported by Cloud SQL for MySQL.
C
Resize compute resources to match predefined Compute Engine machine types.
D
Containerize the micro-services and host them in Google Kubernetes Engine.
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