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NEW QUESTION: 1
CORRECT TEXT
Problem Scenario 44 : You have been given 4 files , with the content as given below:
spark11/file1.txt
Apache Hadoop is an open-source software framework written in Java for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware. All the modules in Hadoop are designed with a fundamental assumption that hardware failures are common and should be automatically handled by the framework spark11/file2.txt
The core of Apache Hadoop consists of a storage part known as Hadoop Distributed File
System (HDFS) and a processing part called MapReduce. Hadoop splits files into large blocks and distributes them across nodes in a cluster. To process data, Hadoop transfers packaged code for nodes to process in parallel based on the data that needs to be processed.
spark11/file3.txt
his approach takes advantage of data locality nodes manipulating the data they have access to to allow the dataset to be processed faster and more efficiently than it would be in a more conventional supercomputer architecture that relies on a parallel file system where computation and data are distributed via high-speed networking spark11/file4.txt
Apache Storm is focused on stream processing or what some call complex event processing. Storm implements a fault tolerant method for performing a computation or pipelining multiple computations on an event as it flows into a system. One might use
Storm to transform unstructured data as it flows into a system into a desired format
(spark11Afile1.txt)
(spark11/file2.txt)
(spark11/file3.txt)
(sparkl 1/file4.txt)
Write a Spark program, which will give you the highest occurring words in each file. With their file name and highest occurring words.
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Create all 4 file first using Hue in hdfs.
Step 2 : Load all file as an RDD
val file1 = sc.textFile("sparkl1/filel.txt")
val file2 = sc.textFile("spark11/file2.txt")
val file3 = sc.textFile("spark11/file3.txt")
val file4 = sc.textFile("spark11/file4.txt")
Step 3 : Now do the word count for each file and sort in reverse order of count.
val contentl = filel.flatMap( line => line.split(" ")).map(word => (word,1)).reduceByKey(_ +
_).map(item => item.swap).sortByKey(false).map(e=>e.swap)
val content.2 = file2.flatMap( line => line.splitf ")).map(word => (word,1)).reduceByKey(_
+ _).map(item => item.swap).sortByKey(false).map(e=>e.swap)
val content3 = file3.flatMap( line > line.split)" ")).map(word => (word,1)).reduceByKey(_
+ _).map(item => item.swap).sortByKey(false).map(e=>e.swap)
val content4 = file4.flatMap( line => line.split(" ")).map(word => (word,1)).reduceByKey(_ +
_ ).map(item => item.swap).sortByKey(false).map(e=>e.swap)
Step 4 : Split the data and create RDD of all Employee objects.
val filelword = sc.makeRDD(Array(file1.name+"->"+content1(0)._1+"-"+content1(0)._2)) val file2word = sc.makeRDD(Array(file2.name+"->"+content2(0)._1+"-"+content2(0)._2)) val file3word = sc.makeRDD(Array(file3.name+"->"+content3(0)._1+"-"+content3(0)._2)) val file4word = sc.makeRDD(Array(file4.name+M->"+content4(0)._1+"-"+content4(0)._2))
Step 5: Union all the RDDS
val unionRDDs = filelword.union(file2word).union(file3word).union(file4word)
Step 6 : Save the results in a text file as below.
unionRDDs.repartition(1).saveAsTextFile("spark11/union.txt")

NEW QUESTION: 2

A. Option A
B. Option C
C. Option D
D. Option B
Answer: C

NEW QUESTION: 3
Your network includes a Windows Server 2008 R2 Hyper-V host with a Windows Server 2008 R2 virtual
machine (VM).
The VM is configured with a dynamically expanding VHD.
The VMs system partition runs out of space.
You need to add more space to the VMs system partition.
What should you do?
A. Using Hyper-V Manager, select the VM, run the Edit Virtual Hard Disk Wizard, and convert the VHD to a fixed-size disk that meets the disk space requirement.
B. Using Hyper-V Manager, select the VM, run the Edit Virtual Hard Disk Wizard, and expand the disk to meet the disk space requirement. Using the Disk Management snap-in in the VM, rescan the disk.
C. Using Hyper-V Manager, select the VM, run the Edit Virtual Hard Disk Wizard, and expand the disk to meet the disk space requirement. Using the Disk Management snap -in in the VM, select the system partition, and extend it to fill the disk.
D. Using Hyper-V Manager, run the New Virtual Hard Disk Wizard, and create a blank VHD that meets the disk space requirement. Using Hyper-V Manager, disconnect the old VHD and connect the new VHD.
Answer: C
Explanation:
Explanation/Reference:
Dynamically expanding. A dynamically expanding virtual hard disk is a disk in which the size of the .vhd
file grows as data is written to the disk. This type provides the most efficient use of disk space. You will
need to monitor the available disk space to avoid running out of disk space on the management operating
system.
Before using the ability to expand the VHD hard disk you must take the following issues into consideration:
You must first completely shut down the virtual machine. You cannot expand a virtual hard disk that is
associated with a running or saved stated virtual machine.
If you expand a virtual hard disk that is associated with a virtual machine that has snapshots, these
snapshots will be invalidated. If you need the snapshots, you'd better make sure you plan ahead of time,
and/or create new snapshots after performing the expansion of the hard disk.

Make sure no snapshots are associated with this VM.

After expanding the virtual hard disk there will be an empty space at the end of the virtual hard disk, just like not using the entire disk when you've originally created partitions in it. You will either need to create a new partition to use the new space, or expand an existing partition into the new space.

Note:Expanding or extending partitions on Windows Vista and Windows Server 2008 is easier than on
Windows Server 2003 or Windows XP, and is performed by using either the Disk Management snap-in
from the Computer Management tool, or by using the DISKPART command. Please read myHow to Extend
a Disk Partition in Windows Vista and Server 2008article for more information.
Follow these steps to expand VHD hard disks:
Open the Hyper-V management tool from the Administrative Tools folder (or by typing virtmgmt.msc in the
Run command).
Start the Edit Virtual Hard Disk wizard by selecting Edit Disk...

If the Before you begin window appears, click Next.

Select the virtual hard disk you want to expand. Click Open and then Next.

Select Expand on the Choose Action page and then press Next. Enter the new size of the virtual hard disk that you want and then press Next.


In the final screen, press Finish.

Wait till the operation finishes, which should be quite fast. Next, after booting the VM, use Disk Management snap-in from the Computer Management tool, or by using the DISKPART command to expand the partition within Windows. While possible in Windows Server 2008 and Windows Vista, unfortunately, in Windows 2000/XP/2003, you cannot use the built-in tools to expand the System Partition (the one the Windows operating system is installed on). For these versions you will need to use of thesefree partition utilities.

NEW QUESTION: 4

Sales.Customers

Application.Cities

Sales.CustomerCategories

Your company is developing a new social application that connects customers to each other based on the distance between their delivery locations.



A. Option B
B. Option A
Answer: A