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NEW QUESTION: 1
Refer to the exhibit.
A Windows administrator on HostA needs to administer the EMC NetWorker server, ServerX. The administrator will use a web browser to connect to the console server on ServerY and log in to the NetWorker Management Console using the default administrator credentials.
What needs to be included in the Administrator list of the NetWorker server?
A. user=system,host=ServerY user=administrator,host=ServerY
B. user=system,host=ServerX user=administrator,host=ServerY
C. user=system,host=ServerX user=administrator,host=HostA
D. user=system,host=ServerY user=administrator,host=HostA
Answer: A
NEW QUESTION: 2
You have a Windows Server Update Services (WSUS) server named Server1.. Server1 synchronizes from Microsoft Update.
You plan to deploy a new WSUS server named Server2. Server2 will synchronize updates from Server1. Server2 will be separated from Server1 by a firewall.
You need to identify which port must be open on the firewall so that Server2 can synchronize the updates.
Which port should you identify?
.
A. 0
B. 1
C. 2
D. 3
Answer: B
Explanation:
Explanation: WSUS upstream and downstream servers will synchronize on the port configured by the WSUS Administrator. By default, these ports are configured as follows:
On WSUS 3.2 and earlier, port 80 for HTTP and 443 for HTTPS
On WSUS 6.2 and later (at least Windows Server 2012), port 8530 for HTTP and 8531 for HTTPS The firewall on the WSUS server must be configured to allow inbound traffic on these ports.
https://technet.microsoft.com/en-us/library/hh852346.aspx
NEW QUESTION: 3
To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the best way to accomplish this?
A. Place the data file in the DistributedCache and read the data into memory in the configure method of the mapper.
B. Place the data file in the DataCache and read the data into memory in the configure method of the mapper.
C. Place the data file in the DistributedCache and read the data into memory in the map method of the mapper.
D. Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.
Answer: C
Explanation:
Explanation/Reference:
Hadoop has a distributed cache mechanism to make available file locally that may be needed by Map/ Reduce jobs Use Case
Lets understand our Use Case a bit more in details so that we can follow-up the code snippets.
We have a Key-Value file that we need to use in our Map jobs. For simplicity, lets say we need to replace all keywords that we encounter during parsing, with some other value.
So what we need is
A key-values files (Lets use a Properties files)
The Mapper code that uses the code
Write the Mapper code that uses it
view sourceprint?
01.
public class DistributedCacheMapper extends Mapper<LongWritable, Text, Text, Text> {
02.
03.
Properties cache;
04.
05.
@ Override
06.
protected void setup(Context context) throws IOException, InterruptedException {
07.
super.setup(context);
08.
Path[] localCacheFiles = DistributedCache.getLocalCacheFiles(context.getConfiguration());
09.
10.
if(localCacheFiles != null) {
11.
// expecting only single file here
12.
for (int i = 0; i < localCacheFiles.length; i++) {
13.
Path localCacheFile = localCacheFiles[i];
14.
cache = new Properties();
15.
cache.load(new FileReader(localCacheFile.toString()));
16.
}
17.
} else {
18.
// do your error handling here
19.
}
20.
21.
}
22.
23.
@Override
24.
public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException
{
25.
// use the cache here
26.
// if value contains some attribute, cache.get(<value>)
27.
// do some action or replace with something else
28.
}
29.
30.
}
Note:
* Distribute application-specific large, read-only files efficiently.
DistributedCache is a facility provided by the Map-Reduce framework to cache files (text, archives, jars etc.) needed by applications.
Applications specify the files, via urls (hdfs:// or http://) to be cached via the JobConf. The DistributedCache assumes that the files specified via hdfs:// urls are already present on the FileSystem at the path specified by the url.
Reference: Using Hadoop Distributed Cache
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