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NEW QUESTION: 1
A company is planning to connect its 30 sites with a VPLS WAN backbone. A router at each site should establish neighborships with all other routers using the OSPF routing protocol. Which three points must be considered regarding DR and BDR when different router platforms are used? (Choose three.)
A. If the IP OSPF priority is the same for all routers, the highest loopback IP address and router ID will decide which routers will take the DR and BDR role during the selection process.
B. The role for the DR and BDR will be selected when a new OSPF router comes up.
C. To select the DR and BDR, the IP OSPF priority must be set to a lower value than the default value at the DR and BDR during the selection process.
D. To force two routers to become a DR and a BDR, the IP OSPF priority can be set to zero at all other OSPF routers.
E. To select the DR and BDR, the IP OSPF priority must be set to a higher value than the default value at the DR and BDR during the selection process.
F. It is a best practice that the routers with the most powerful hardware should take the role of the DR and BDR.
Answer: A,D,F
NEW QUESTION: 2
Which of the following is an example of a smart device security control intended to prevent unauthorized users from gaining access to a device's data or applications?
A. Anti-malware software.
B. Rooting.
C. Authentication.
D. Spyware.
Answer: C
NEW QUESTION: 3
Which describes NEMO-Tunnel on HA?
A. an IP-IP tunnel between PDSN/FA and HA
B. a GRE tunnel that is dynamically established between a Mobile Router and HA
C. a VRF between HA and VRF Router of the enterprise network
D. a GRE tunnel that is statically defined between a Mobile Router and PDSN/FA
Answer: B
NEW QUESTION: 4
You write a MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses TextInputFormat and the IdentityReducer: the mapper applies a regular expression over input values and emits key-value pairs with the key consisting of the matching text, and the value containing the filename and byte offset. Determine the difference between setting the number of reducers to zero.
A. With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one reducer, all instances of matching patterns are gathered together in one file on HDFS.
B. With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of matching patterns are stored in a single file on HDFS.
C. There is no difference in output between the two settings.
D. With zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With one reducer, instances of matching patterns stored in multiple files on HDFS.
Answer: A
Explanation:
*It is legal to set the number of reduce-tasks to zero if no reduction is desired.
In this case the outputs of the map-tasks go directly to the FileSystem, into the output path set by
setOutputPath(Path). The framework does not sort the map-outputs before writing them out to the
FileSystem.
*Often, you may want to process input data using a map function only. To do this, simply set
mapreduce.job.reduces to zero. The MapReduce framework will not create any reducer tasks.
Rather, the outputs of the mapper tasks will be the final output of the job.
Note:
Reduce
In this phase the reduce(WritableComparable, Iterator, OutputCollector, Reporter) method is
called for each <key, (list of values)> pair in the grouped inputs.
The output of the reduce task is typically written to the FileSystem via
OutputCollector.collect(WritableComparable, Writable).
Applications can use the Reporter to report progress, set application-level status messages and
update Counters, or just indicate that they are alive.
The output of the Reducer is not sorted.