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NEW QUESTION: 1
A. Linux (32-Bit)
B. Linux (64-Bit)
C. Windows (32-Bit)
D. Windows (64-Bit)
Answer: B
Explanation:
Explanation
The guest operating system that supports PVRDMA is Linux 64 bit.
Guest OS Linux (64-bit)
NEW QUESTION: 2
Where should an administrator look in the NetBackup Administration Console to determine whether an
AdvancedDisk storage server is configured?
A. Media and Device Management> Devices> Storage Servers
B. Media and Device Management> Device Monitor> Storage Servers
C. Media and Device Management> Credentials > Storage Servers
D. Media and Device Management> Credentials > Disk Array Hosts
Answer: C
NEW QUESTION: 3
Assuming default settings, which best describes the order of data provided to a reducer's reduce method:
A. Neither keys nor values are in any predictable order.
B. The keys given to a reducer aren't in a predictable order, but the values associated with those keys always are.
C. The keys given to a reducer are in sorted order but the values associated with each key are in no predictable order
D. Both the keys and values passed to a reducer always appear in sorted order.
Answer: C
Explanation:
Reducer has 3 primary phases:
1.Shuffle
The Reducer copies the sorted output from each Mapper using HTTP across the network.
2.Sort
The framework merge sorts Reducer inputs by keys (since different Mappers may have output the same key).
The shuffle and sort phases occur simultaneously i.e. while outputs are being fetched they are merged.
SecondarySort
To achieve a secondary sort on the values returned by the value iterator, the application should extend the key with the secondary key and define a grouping comparator. The keys will be sorted using the entire key, but will be grouped using the grouping comparator to decide which keys and values are sent in the same call to reduce.
3. Reduce
In this phase the reduce(Object, Iterable, Context) method is called for each <key,
(collection of values)> in the sorted inputs.
The output of the reduce task is typically written to a RecordWriter via
TaskInputOutputContext.write(Object, Object). The output of the Reducer is not re-sorted. Reference: org.apache.hadoop.mapreduce, Class Reducer<KEYIN,VALUEIN,KEYOUT,VALUEOUT>