A. The new LUN must be created on a performance node.

B. The new LUN must be created on a data reduction node.

C. The new LUN mustreside on the same scaling solution node as the original LUN to be mirrored.

D. The new LUN must not reside on the same scaling solution node as the original lun to be mirrored.

A. The Mapper builds a route through the Hadoop network.

B. The Reducer heuhsticalfy prunes the decision tree.

C. The Reducer takes the data and aggregates it.

D. The Mapper takes the data and aggregates it.

E. The Mapper tells the cluster which data points it wants to retrieve.

F. The Reducer partitions a large query into smaller queries.

A. Snapshot Size (GB)

B. Volume

C. Origin LUN

D. Snapshot ID

E. SSN ID

F. Snapshot Name

A. Data warehouse

B. OLAP multidimensional cube

C. OLTP

D. Bulk data load of a database table

E. Extract, transform, and load

A. IP address, subnet mask, MTU, and mode

B. IP address and subnet mask

C. MAC address, subnet mask,MTU,and mode

D. MAC address. IP address, subnet mask, and MTU

E. IP address, subnet mask, MTU,mode,and boot order

A. Performance nodes

B. Scaling solution router nodes

C. Data reduction nodes and performance nodes

D. Data reduction nodes

A. It relies on distributed parallel processing.

B. It is a single appliance that integrates both software and hardware.

C. It is a very large OLTP database engine.

D. It is an open source, batch data processing system.

E. It relies on a few very expensive compute platforms.

F. It relies on complex star schema designs to efficiently handle decision support queries.

A. Sync SNMP

B. Sync RDMS

C. Sync LUN

D. Sync SCST