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NEW QUESTION: 1
Which two items are determined by the cost templates for advanced fixed-price projects?
(Each correct answer presents part of the solution. Choose two.)
A. the amount of hours that can be posted for advanced fixed-price projects
B. whether to calculate the degree of completion on the posted amount or quantity
C. the categories included in calculating the degree of completion
D. the amount of expenses that can be posted for advanced fixed-price projects
Answer: B,C

NEW QUESTION: 2
A set of standardized system images with a pre-defined set of applications is used to build end-user workstations. The security administrator has scanned every workstation to create a current inventory of all applications that are installed on active workstations and is documenting which applications are out-of-date and could be exploited. The security administrator is determining the:
A. OS hardening effectiveness.
B. Application hardening effectiveness.
C. Attack surface.
D. Application baseline.
Answer: C

NEW QUESTION: 3
A SELECT statement can be used to perform these three functions:
- Choose rows from a table.
- Choose columns from a table
- Bring together data that is stored in different tables by creating a link between them Which set of keywords describes these capabilities?
A. difference, projection, product
B. selection, intersection, join
C. intersection, projection, join
D. selection, projection, join
E. difference, projection, join
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Explanation: choose rows from a table is SELECTION,
Choose column from a table is PROJECTION
Bring together data in different table by creating a link between them is JOIN.
Incorrect answer:
Aanswer should have SELECTION, PROJECTION and JOIN.
Canswer should have SELECTION, PROJECTION and JOIN.
Danswer should have SELECTION, PROJECTION and JOIN.
Eanswer should have SELECTION, PROJECTION and JOIN.
Refer: Introduction to Oracle9i: SQL, Oracle University Study Guide, 1-6

NEW QUESTION: 4
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 DataCache and read the data into memory in the configure method of the mapper.
B. Place the data file in the DistributedCache and read the data into memory in the map method of the mapper.
C. Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.
D. Place the data file in the DistributedCache and read the data into memory in the configure method of the mapper.
Answer: B
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