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NEW QUESTION: 1
Rick works as the Network Administrator of a Windows 2000 network. The network consists of 30 domain controllers, 65 member servers, and 5000 workstations. All the computers on the network use Windows 2000 Advanced Server, Windows 2000 Server, and Windows 2000 Professional operating systems. The Windows 2000 Advanced Server computers are running the Cluster Service. The network uses TCP/IP as its only protocol. Once a week Rick works from home. But rest of the weekdays, he has to travel. Rick wants to be able to remotely administer each Windows 2000 server on his network with the following considerations:
He must be able to establish a VPN connection to the Windows 2000 Server computers on the network from his home, so that the data remain encrypted and encapsulated during data transfer.
While traveling , he must be able to connect to the network from a laptop computer via remote access connection, so that he can perform any task on the main Windows 2000 domain controller.
While traveling, he must be able to edit the registry of the Windows 2000 Server computer.
During the migration process to Windows 2000, he depleted all the financial resources for licensing. Therefore, he must not be required to add additional licenses to the network.
He implements the VPN connection on the proper server, the laptop computer, and the home
computer.
He configures the VPN connection to use the IPSec protocol in Encapsulating Security Payload (ESP) Tunnel Mode.
He implements Windows 2000 Terminal Services using the Remote Administration mode on the Windows 2000 servers.
He installs and configures Routing and Remote Access properly.
Rick takes the following actions: Which of the following goals will be accomplished by these actions?
Each correct answer represents a complete solution. Choose all that apply.
A. While traveling, he will be able to connect to the network from a laptop computer via remote access connection so that he can perform any task on the main Windows 2000 domain controller.
B. He will not be required to add additional licenses to the network.
C. While traveling, he will be able to edit the registry of the Windows 2000 Server computer.
D. He will be able to establish a VPN connection to the Windows 2000 Server computers on the network from his home, so that the data remains encrypted and encapsulated during data transfer.
Answer: A,B,C,D
NEW QUESTION: 2
What two ways are available to customize and create applications in salesforce? (No Answer)
A. declaratively, programmatically
B. static and final
C. Encapsulation principles
D. plural name plus__r
Answer: A
NEW QUESTION: 3
A user reports that their PC will not boot after multiple attempts. Which of the following should be the technician's FIRST response?
A. "Do you see lights on the PC?"
B. "Is the PC plugged in?"
C. "Are you able to log in?"
D. "Do you hear a clicking sound?"
Answer: A
NEW QUESTION: 4
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, 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. 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.
D. There is no difference in output between the two settings.
Answer: A
Explanation:
Explanation/Reference:
* 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.