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NEW QUESTION: 1
-- Exhibit --
System is now ready.
Press Enter to modify system settings.
Welcome to the Juniper Networks Junos Pulse Secure Access Service Serial Console!
Current version: 7.2R1 (build 20645)
Rollback version: 7.1R1 (build 17675)
Reset version: 7.1R1 (build 17675) Junos Pulse Secure Access Service
4.1R1 Junos Pulse Access Control Service
Licensing Hardware ID. 0284MNCXX0HC802NE
Serial Number: 0 011000028
Please choose from among the following options:
1.Network Settings and Tools
2.Create admin username and password
3.Display log
4.System Operations
5.Toggle password protection for the console (Off)
6.Create a Super Admin session.
7.System Snapshot
8.Reset allowed encryption strength for SSL
9.Remote Debugging Choice: -- Exhibit -
You have purchased a MAG6611 with an SM160 card installed. You want to run the Junos Pulse Access Control Service. After completing the initial installation, you notice that the configuration options do not appear to be valid for access control.
Referring to the exhibit, what would cause this problem?
A. You have not yet configured any firewall enforcers.
B. You have not installed the correct license on the device.
C. You have not installed the correct software package on the device.
D. You have not selected the correct factory-reset personality image.
Answer: D
NEW QUESTION: 2
You discover malware has corrupted the BIOS on your laptop. Which type of malware is this?
A. vulnerability
B. rootkit
C. exploit
D. bootkit
Answer: D
NEW QUESTION: 3
You want to perform analysis on a large collection of images. You want to store this data in HDFS and process it with MapReduce but you also want to give your data analysts and data scientists the ability to process the data directly from HDFS with an interpreted high-level programming language like Python.
Which format should you use to store this data in HDFS?
A. HTML
B. CSV
C. Avro
D. SequenceFiles
E. XML
F. JSON
Answer: D
Explanation:
Explanation/Reference:
Using Hadoop Sequence Files
So what should we do in order to deal with huge amount of images? Use hadoop sequence files! Those are map files that inherently can be read by map reduce applications - there is an input format especially for sequence files - and are splitable by map reduce, so we can have one huge file that will be the input of many map tasks. By using those sequence files we are letting hadoop use its advantages. It can split the work into chunks so the processing is parallel, but the chunks are big enough that the process stays efficient.
Since the sequence file are map file the desired format will be that the key will be text and hold the HDFS filename and the value will be BytesWritable and will contain the image content of the file.
Reference: Hadoop binary files processing introduced by image duplicates finder