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NEW QUESTION: 1
Which two steps must be performed in order to enable Message Level Encryption within a standard IBM Tivoli Endpoint Manager (TEM) environment? (Choose two.)
A. Take action on the task - Enable Encrypted Password Deployment to the endpoints
B. Encrypt the action site folder on the endpoints
C. Take action on the task- BES Client Setting: Encrypted Reports to the endpoints
D. Generate the encryption key
E. Encrypt the TEM BFEnterprise database
Answer: C,D

NEW QUESTION: 2
You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses
TextInputFormat: the mapper applies a regular expression over input values and emits key-values 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 reduces to one and settings 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, all instances of matching patterns are gathered together in one file on HDFS. With one reducer, instances of matching patterns are stored in multiple files on HDFS.
C. 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.
D. There is no difference in output between the two settings.
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.

NEW QUESTION: 3
An issue storage location was NOT found through the work center, bill of material (BOM)item, or material master. What determines whether the storage location can be derived from the production version?
A. MRP Controller
B. MRP Profile
C. Plant Data
D. MRP Group
Answer: D