You have been engaged by your client to lead the migration of their application infrastructure to GCP. One of their current problems is that the on-premises high performance SAN is requiring frequent and expensive upgrades to keep up with the variety of workloads that are identified as follows: 20 TB of log archives retained for legal reasons; 500 GB of VM boot/data volumes and templates; 500 GB of image thumbnails; 200 GB of customer session state data that allows customers to restart sessions even if off-line for several days. Which of the following best reflects your recommendations for a cost-effective storage allocation?
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Correct answer: Memcache backed by Cloud Datastore for the customer session state data. Lifecycle-managed Cloud Storage for log archives, thumbnails, and VM boot/data volumes..
Why this is the answer
The correct option leverages appropriate GCP services for each workload. Memcache backed by Cloud Datastore is ideal for customer session state data, offering low-latency access and persistence for sessions that need to resume after several days. Cloud Storage with lifecycle management is a cost-effective solution for log archives (infrequently accessed, long retention), image thumbnails (static, accessible), and VM boot/data volumes (can be stored as images/snapshots). Local SSD is too volatile and expensive for persistent session state data. Cloud SQL is a relational database and overkill for simple key-value session data. Persistent Disk SSD is also more expensive and less optimized for session state than Datastore. Using local SSD-backed instances for VM boot/data volumes is not cost-effective for 500GB of static data; Cloud Storage is better for storing and managing these.
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