Google Professional Cloud Architect
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Dress4Win, a web-based company that helps users organize and manage their personal wardrobes using a web and mobile application, is expected to grow to 10 times its size in 1 year, with a corresponding growth in data and traffic that mirrors current patterns. Their infrastructure currently includes MySQL databases, Redis servers, web application servers, Hadoop/Spark servers, RabbitMQ servers, and various storage appliances. The CIO has set the target of migrating Dress4Win's production infrastructure to the cloud within the next 6 months. Considering the need to scale for this growth without making major application changes and maximizing ROI, how should Dress4Win configure the solution?
A
Migrate the web application layer to App Engine, and MySQL to Cloud Datastore, and NAS to Cloud Storage. Deploy RabbitMQ, and deploy Hadoop servers using Deployment Manager.
B
Migrate RabbitMQ to Cloud Pub/Sub, Hadoop to BigQuery, and NAS to Compute Engine with Persistent Disk storage. Deploy Tomcat, and deploy Nginx using Deployment Manager.
C
Implement managed instance groups for Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Compute Engine with Persistent Disk storage.
D
Implement managed instance groups for the Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Cloud Storage.