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NEW QUESTION: 1
CORRECT TEXT
Problem Scenario 33 : You have given a files as below.
spark5/EmployeeName.csv (id,name)
spark5/EmployeeSalary.csv (id,salary)
Data is given below:
EmployeeName.csv
E01,Lokesh
E02,Bhupesh
E03,Amit
E04,Ratan
E05,Dinesh
E06,Pavan
E07,Tejas
E08,Sheela
E09,Kumar
E10,Venkat
EmployeeSalary.csv
E01,50000
E02,50000
E03,45000
E04,45000
E05,50000
E06,45000
E07,50000
E08,10000
E09,10000
E10,10000
Now write a Spark code in scala which will load these two tiles from hdfs and join the same, and produce the (name.salary) values.
And save the data in multiple tile group by salary (Means each file will have name of employees with same salary). Make sure file name include salary as well.
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Create all three files in hdfs (We will do using Hue). However, you can first create in local filesystem and then upload it to hdfs.
Step 2 : Load EmployeeName.csv file from hdfs and create PairRDDs
val name = sc.textFile("spark5/EmployeeName.csv")
val namePairRDD = name.map(x=> (x.split(",")(0),x.split('V')(1)))
Step 3 : Load EmployeeSalary.csv file from hdfs and create PairRDDs
val salary = sc.textFile("spark5/EmployeeSalary.csv")
val salaryPairRDD = salary.map(x=> (x.split(",")(0),x.split(",")(1)))
Step 4 : Join all pairRDDS
val joined = namePairRDD.join(salaryPairRDD}
Step 5 : Remove key from RDD and Salary as a Key. val keyRemoved = joined.values
Step 6 : Now swap filtered RDD.
val swapped = keyRemoved.map(item => item.swap)
Step 7 : Now groupBy keys (It will generate key and value array) val grpByKey = swapped.groupByKey().collect()
Step 8 : Now create RDD for values collection
val rddByKey = grpByKey.map{case (k,v) => k->sc.makeRDD(v.toSeq)}
Step 9 : Save the output as a Text file.
rddByKey.foreach{ case (k,rdd) => rdd.saveAsTextFile("spark5/Employee"+k)}

NEW QUESTION: 2





A. Option E
B. Option A
C. Option F
D. Option D
E. Option B
F. Option C
Answer: A,E

NEW QUESTION: 3
You manage a cloud service on two instances. The service name is Service1 and the role name is ServiceRole1.
Service1 has performance issues during heavy traffic periods.
You need to increase the existing deployment of Service1 to three instances.
Which Power Shell cmdlet should you use?
A. PS C:\> $instancecount = New-Object Hashtable$settings["INSTANCECOUNT=3"] PS C:\> Set- AzureWebsite -AppSettings $instancecount ServiceRole1
B. PS C:\>Set-AzureRole -ServiceName "Service1" -Slot "Production" -RoleName "ServiceRole1" - Count 3
C. PS C:\>Add-AzureWebRole -Name "ServiceRole1" -Instances 3
D. PS C:\>Set-AzureService -ServiceName "Service1" -Label "ServiceRole1" -Description "Instance count=3"
Answer: B
Explanation:
The Set-AzureRole cmdlet sets the number of instances of a specified role to run in an Azure deployment Example This command sets the "MyTestRole3" role running in production on the "MySvc1" service to three instances.
Windows PowerShell
C:\PS>Set-AzureRole -ServiceName "MySvc1" -Slot "Production" -RoleName "MyTestRole3" -Count
3

NEW QUESTION: 4

A. Option D
B. Option A
C. Option B
D. Option C
Answer: A,B,C
Explanation:
Explanation
The AWS Documentation mentions the following
1) For a quick, high-level analysis use Cost Explorer, which is a free tool that you can use to view graphs of your AWS spend data. It includes a variety of filters and preconfigured views, as well as forecasting capabilities. Cost Explorer displays data from the last 13 months, the current month, and the forecasted costs for the next three months, and it updates this data daily.
2) Consider using budgets if you have a defined spending plan for a project or service and you want to track how close your usage and costs are to exceeding your budgeted amount. Budgets use data from Cost Explorer to provide you with a quick way to see your usage-to-date and current estimated charges from AWS. You can also set up notifications that warn you if you exceed or are about to exceed your budgeted amount.
3) Visit the AWS Trusted Advisor console regularly. Trusted Advisor works like a customized cloud expert, analyzing your AWS environment and providing best practice recommendations to help you save money, improve system performance and reliability, and close security gaps.
For more information on cost optimization, please visit the below U RL:
* https://aws.amazon.com/answers/account-management/cost-optimization-monitor/

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