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NEW QUESTION: 1
What is the Activity in Genesys WFM where the work does not use or require WFM service objectives, such as research or scheduled callbacks?
A. Fixed-Staff work
B. Immediate work
C. Deferred work
Answer: A

NEW QUESTION: 2
You are maintaining a load-balanced ASP.NET MVC web application. The load balancer uses the status endpoint to determine if the instance is healthy.
You monitor the application uptime by using multiple App Insight URL ping tests on the status endpoint. You track request latency for the application in Microsoft Azure Application Insight.
Your DevOps team reports that the application is behaving in unexpected ways. The latency of most requests is the same. Application Insights often falls back to sampling, and the sampling period is very high.
You need to ensure that the application provides the correct information.
How should you complete the code? To answer, drag the appropriate code segments to the correct locations.
Each code segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

Answer:
Explanation:

Explanation

NEW QUESTION: 3
Which process describes the lifecycle of a Mapper?
A. The JobTracker calls the TaskTracker's configure () method, then its map () method and finally its close () method.
B. The JobTracker spawns a new Mapper to process all records in a single file.
C. The TaskTracker spawns a new Mapper to process all records in a single input split.
D. The TaskTracker spawns a new Mapper to process each key-value pair.
Answer: C
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

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