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NEW QUESTION: 1
You manage two datacenters in different geographic regions and one branch office.
You plan to implement a geo-redundant backup solution.
You need to ensure that each datacenter is a cold site for the other.
You create a recovery vault. What should you do next?
A. Prepare System Center Virtual Machine Manager (SCVMM) servers.
B. Upload a certificate to the vault.
C. Install the provider.
D. Set all virtual machines to DHCP.
E. Generate a vault key.
F. Create mappings between the virtual machine (VM) networks.
Answer: E
Explanation:
Explanation
References:
http://msdn.microsoft.com/en-us/library/azure/dn337345.aspx

NEW QUESTION: 2
Welche der folgenden Methoden zur Planung von Netzwerkplänen berücksichtigt begrenzte Ressourcen?
A. Kritische Kettenmethode
B. Vorlauf- und Nachlaufeinstellung
C. Netzwerkreservenanalyse
D. Methode für kritische Pfade
Answer: A

NEW QUESTION: 3

A. Option C
B. Option G
C. Option F
D. Option A
E. Option E
F. Option B
G. Option D
Answer: B,D,E
Explanation:
HCC requires the use of Oracle Storage - Exadata (A), Pillar Axiom (G) or
Sun ZFS Storage Appliance (ZFSSA).
Note:
*Hybrid Columnar Compression, initially only available on Exadata, has been extended to support Pillar Axiom and Sun ZFS Storage Appliance (ZFSSA) storage when used with Oracle Database Enterprise Edition 11.2.0.3 and above
*Oracle offers the ability to manage NFS using a feature called Oracle Direct NFS (dNFS). Oracle Direct NFS implements NFS V3 protocol within the Oracle database kernel itself. Oracle Direct NFS client overcomes many of the challenges associated with using NFS with the Oracle Database with simple configuration, better performance than traditional NFS clients, and offers consistent configuration across platforms.

NEW QUESTION: 4
To process input key-value pairs, your mapper needs to load a 512 MB data file in memory. What is the best way to accomplish this?
A. Place the data file in theDistributedCacheand read the data into memory in the map method of the mapper.
B. Serialize the data file, insert it in the Jobconf object, and read the data into memory in the configure method of the mapper.
C. Place the datafile in the DataCache and read the data into memory in the configure method ofthe mapper.
D. Place the data file in theDistributedCacheand read the data into memory in the configure method of the mapper.
Answer: A
Explanation:
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