A customer is using file pool policies to archive infrequently accessed files to Amazon S3 via CloudPools. How could the customer easily find out how many stub files are stored on the cluster?

Your customer manages a print media environment, consisting of three Isilon clusters, which are out of support. The customer would like to have access to new software releases and feature sets. You have been asked to perform a full discovery of the customer's environment.
The customer's current Isilon clusters are as follows:
"Cust" (12 x 12000X) serves as upload media storage for different tenants.
"Working" (8 x 12000X + 6 x X200) serves as a working zone for extraction to RAW and printing media from it.
"Archive" (16 x 72NL + Accelerator nodes) is used to store printed content for six months.
The customer operates in a Windows environment using SMB 2.0, two DNS servers per AD forest, three forest domains which are servicing three different environments. All servers are operating on a 1Gb network, three VLANs segregating the DEV/QA/PROD environments. Currently, there is no monitoring in place for performance measurement or optimization.
The requirements for this solution include:
-Better ROI and TCO -Maintain same performance with possible improvements -Renew HW/SW and get inclusive support -Limit migrations -Reduce space, power, cooling consumption -Get new feature sets -If migration required, use Parallel copy (multiple nodes, multiple threads, multiple connections) -Segregate tenant shares from other tenants -Expand up to 1PB of total storage
What would you recommend be done to consolidate the three clusters into one?

An architect is designing a solution for a new customer. The customer is going to use the cluster to store a large number of files that will be accessed by many users.
What IO optimization should be used and what kind of prefetching will take place?

An Isilon customer has two 5-node clusters; one for production and one for disaster recovery (DR). The customer's workflows are replicated to the DR cluster through SyncIQ on individual schedules. They shut down their production cluster for a scheduled DR test, failed over to the DR cluster, and continue their DR testing.
Assume both clusters have identical shares, exports, and user authentication. Additionally, assume the client applications have been stopped and the DNS re-pointed. Which SyncIQ Policy method should be used to continue production operations?

A customer has a cluster consisting of six H500 nodes (in one full chassis and one half populated chassis) and four A200 nodes (in one full chassis). The customer wants to expand their A200 nodes.
What is the minimum number of A200 nodes and chassis the customer can add to the cluster?