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NEW QUESTION: 1
A customer has designed an environment using block based LUNs presented to individual hosts.
They have configured a pool to start using both thick and thin LUNs. One of the standalone servers is an archive server running on Windows. They want to maximize capacity on the standalone server since the data is no longer accessed. They have no more drives to increase LUN capacity.
How can the customer increase available capacity to the archive server?
A. Compress the data on the block based LUN
B. Delete old files
C. Back up the files, reconfigure the LUN, and restore the data
D. Add capacity to the existing LUN
Answer: A

NEW QUESTION: 2
You have an Exchange organization. All servers in the organization have Exchange Server 2010 SP1 installed.
The create a retention policy and apply the policy to all of the mailboxes in the organization.
You need toensure thatusers can use personal tags that are not linked to the retention policy.
What should you do?
Answer:
Explanation:
Explanation/Reference: not sure if this is correct :
http://technet.microsoft.com/en-us/library/dd876897.aspx
Opt-in personal tags
Users can use ECP to select additional personal tags not linked to their retention policy
Needs MyRetentionPolicies role

NEW QUESTION: 3
Scenario:
CGE's security officer states that, for compliance reasons, all network traffic between Delivery Controllers, StoreFront servers, and NetScalers must be encrypted.
How should the architect recommend that SSL be implemented?
A. By configuring an Active Directory Group Policy to distribute SSL certificates
B. By installing an SSL certificate in the master image
C. By installing certificates on Citrix infrastructure components
D. By installing a certificate authority server in the DMZ
Answer: A

NEW QUESTION: 4
Which process describes the lifecycle of a Mapper?
A. The TaskTracker spawns a new Mapper to process each key-value pair.
B. The TaskTracker spawns a new Mapper to process all records in a single input split.
C. The JobTracker calls the TaskTracker's configure () method, then its map () method and finally its close () method.
D. The JobTracker spawns a new Mapper to process all records in a single file.
Answer: B
Explanation:
For each map instance that runs, the TaskTracker creates a new instance of your mapper.
Note:
*The Mapper is responsible for processing Key/Value pairs obtained from the InputFormat. The mapper may perform a number of Extraction and Transformation functions on the Key/Value pair before ultimately outputting none, one or many Key/Value pairs of the same, or different Key/Value type.
*With the new Hadoop API, mappers extend the org.apache.hadoop.mapreduce.Mapper class.
This class defines an 'Identity' map function by default - every input Key/Value pair obtained from
the InputFormat is written out.
Examining the run() method, we can see the lifecycle of the mapper:
/**
*Expert users can override this method for more complete control over the
*execution of the Mapper.
*@param context
*@throws IOException
*/
public void run(Context context) throws IOException, InterruptedException {
setup(context);
while (context.nextKeyValue()) {
map(context.getCurrentKey(), context.getCurrentValue(), context);
}
cleanup(context);
}
setup(Context) - Perform any setup for the mapper. The default implementation is a no-op method.
map(Key, Value, Context) - Perform a map operation in the given Key / Value pair. The default
implementation calls Context.write(Key, Value)
cleanup(Context) - Perform any cleanup for the mapper. The default implementation is a no-op
method.
Reference: Hadoop/MapReduce/Mapper