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NEW QUESTION: 1
An administrator is building a VM for a department whose requirements mandate that a particular vendor's application run on one physical processor. In order to ensure that this requirement is met while ensuring optimal performance, which of the following should the administrator configure?
A. Licensing
B. CPU affinity
C. Memory affinity
D. CPU hyperthreading
Answer: B

NEW QUESTION: 2
Identify three correct statements about Workforce Life Cycle. (Choose three.)
A. HR specialists can create and manage work relationships, employment terms, and assignments for the workers to whim they have security access.
B. The Add Person tasks include creating a new person's first work relationship with the enterprise.
C. Line Managers can transfer their direct and indirect reports only.
D. Line managers can create and manage work relationships, employment terms, and assignments for all workers.
E. HR specialists and line managers can create and manage work relationships, employment terms, and assignments for all the workers.
Answer: A,B,C

NEW QUESTION: 3
You want to populate an associative array in order to perform a map-side join. You've decided to put this information in a text file, place that file into the DistributedCache and read it in your Mapper before any records are processed.
Indentify which method in the Mapper you should use to implement code for reading the file and populating the associative array?
A. configure
B. map
C. init
D. combine
Answer: A
Explanation:
See 3) below.
Here is an illustrative example on how to use the DistributedCache: // Setting up the cache for the application
1.Copy the requisite files to the FileSystem:
$ bin/hadoop fs -copyFromLocal lookup.dat /myapp/lookup.dat $ bin/hadoop fs -copyFromLocal map.zip /myapp/map.zip $ bin/hadoop fs -copyFromLocal mylib.jar /myapp/mylib.jar $ bin/hadoop fs -copyFromLocal mytar.tar /myapp/mytar.tar $ bin/hadoop fs -copyFromLocal mytgz.tgz /myapp/mytgz.tgz $ bin/hadoop fs -copyFromLocal mytargz.tar.gz /myapp/mytargz.tar.gz
2.Setup the application's JobConf:
JobConf job = new JobConf();
DistributedCache.addCacheFile(new URI("/myapp/lookup.dat#lookup.dat"),
job);
DistributedCache.addCacheArchive(new URI("/myapp/map.zip", job);
DistributedCache.addFileToClassPath(new Path("/myapp/mylib.jar"), job);
DistributedCache.addCacheArchive(new URI("/myapp/mytar.tar", job);
DistributedCache.addCacheArchive(new URI("/myapp/mytgz.tgz", job);
DistributedCache.addCacheArchive(new URI("/myapp/mytargz.tar.gz", job);
3.Use the cached files in the Mapper or Reducer:
public static class MapClass extends MapReduceBase implements Mapper<K, V, K, V> {
private Path[] localArchives; private Path[] localFiles;
public void configure(JobConf job) { // Get the cached archives/files
localArchives = DistributedCache.getLocalCacheArchives(job);
localFiles = DistributedCache.getLocalCacheFiles(job);
}
public void map(K key, V value,
OutputCollector<K, V> output, Reporter reporter)
throws IOException {
// Use data from the cached archives/files here
// ...
// ...
output.collect(k, v);
}
}
Reference: org.apache.hadoop.filecache , Class DistributedCache