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NEW QUESTION: 1
An administrator is deploying a pool of virtual desktops and receives the following message when testing a desktop connectionfrom a View Client machine :
The Desktop Currently Has No Desktop Sources Available.
The administrator has confirmed that:
- The desktops are built and are visible in the View Administrator console.
- The desktops display a Agent Unreachable status in the View Administrator.
After logging in to the vCenter Server, what should the administrator ensure to troubleshoot the issue?
A. There are no CPU reservations.
B. The View Composer service is running.
C. There are no Memory reservations.
D. The virtual desktops are powered on.
Answer: D

NEW QUESTION: 2
CORRECT TEXT
Problem Scenario 42 : You have been given a file (sparklO/sales.txt), with the content as given in below.
spark10/sales.txt
Department,Designation,costToCompany,State
Sales,Trainee,12000,UP
Sales,Lead,32000,AP
Sales,Lead,32000,LA
Sales,Lead,32000,TN
Sales,Lead,32000,AP
Sales,Lead,32000,TN
Sales,Lead,32000,LA
Sales,Lead,32000,LA
Marketing,Associate,18000,TN
Marketing,Associate,18000,TN
HR,Manager,58000,TN
And want to produce the output as a csv with group by Department,Designation,State with additional columns with sum(costToCompany) and TotalEmployeeCountt
Should get result like
Dept,Desg,state,empCount,totalCost
Sales,Lead,AP,2,64000
Sales.Lead.LA.3.96000
Sales,Lead,TN,2,64000
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
step 1 : Create a file first using Hue in hdfs.
Step 2 : Load tile as an RDD
val rawlines = sc.textFile("spark10/sales.txt")
Step 3 : Create a case class, which can represent its column fileds. case class
Employee(dep: String, des: String, cost: Double, state: String)
Step 4 : Split the data and create RDD of all Employee objects.
val employees = rawlines.map(_.split(",")).map(row=>Employee(row(0), row{1), row{2).toDouble, row{3)))
Step 5 : Create a row as we needed. All group by fields as a key and value as a count for each employee as well as its cost, val keyVals = employees.map( em => ((em.dep, em.des, em.state), (1 , em.cost)))
Step 6 : Group by all the records using reduceByKey method as we want summation as well. For number of employees and their total cost, val results = keyVals.reduceByKey{
(a,b) => (a._1 + b._1, a._2 + b._2)} // (a.count + b.count, a.cost + b.cost)}
Step 7 : Save the results in a text file as below.
results.repartition(1).saveAsTextFile("spark10/group.txt")

NEW QUESTION: 3

A. Option C
B. Option D
C. Option B
D. Option A
Answer: C
Explanation:
With Preferences, local and domain accounts can be added to a local group without affecting the existing members of the group References: Training Guide: Installing and Configuring Windows Server 2012 R2: Chapter 8: File Services and Storage, p. 361 http://technet.microsoft.com/en-us/library/cc785631(v=ws.10).aspx http://www.grouppolicy.biz/2010/01/how-to-use-group-policy-preferences-to-secure-localadministrator-groups/ http://technet.microsoft.com/en-us/library/cc780182(v=ws.10).aspx http://technet.microsoft.com/en-us/library/hh831424.aspx

NEW QUESTION: 4
Given the code fragment:

What is the result?
A. true false
B. false true
C. true true
D. false false
Answer: A