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NEW QUESTION: 1
You are on the implementation team for a company with 2,000 users. You have a business requirement to grant record visibility to sales users, based on their geographic location. You have a second requirement to grant visibility to consultant users based on which product line they support. Each Organization expects managers to be able to see their subordinate's records, but lower level users should not see any records that they do not own, except in several cases. Consultant users need to see the opportunity records that sales users own, if they involve products that they support. And sales users need to see contact and lead records that the consultant users own. If they are located in their sales regions. Which visibility mechanisms would be the best to use to meet these requirements?
A. Access Profiles and Opportunity Teams
B. Books of Business and Access Profiles
C. Manager Visibility and Contact Teams
D. Group Visibility and Contact Teams
E. Access Profiles and Manager Visibility
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Note: When you associate a user with a book, you select an access profile that determines the user's access rights to records in the book and in any subbooks. The access profile for the book is evaluated with all of the other access profiles for the user, and the user is given the most liberal access rights to a record that the access profiles permit.

NEW QUESTION: 2
In IS-IS, which of the following commands is used to change the interface level?
A. [Quidway-GigabitEthernet1/0/0] isis circuit-level level-1
B. [Quidway-GigabitEthernet1/0/0] isis is-level level-1
C. [Quidway-isis-1] is-level level-1
D. [Quidway-isis-1] isis level level-1
Answer: C

NEW QUESTION: 3
For many mid-sized companies, which of the following challenges does Information Technology (IT) NOT have to handle?
A. Security
B. Office space
C. Recovery from disasters
D. Manage costs
Answer: B

NEW QUESTION: 4
CORRECT TEXT
Problem Scenario 30 : You have been given three csv files in hdfs as below.
EmployeeName.csv with the field (id, name)
EmployeeManager.csv (id, manager Name)
EmployeeSalary.csv (id, Salary)
Using Spark and its API you have to generate a joined output as below and save as a text tile (Separated by comma) for final distribution and output must be sorted by id.
ld,name,salary,managerName
EmployeeManager.csv
E01,Vishnu
E02,Satyam
E03,Shiv
E04,Sundar
E05,John
E06,Pallavi
E07,Tanvir
E08,Shekhar
E09,Vinod
E10,Jitendra
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
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Create all three files in hdfs in directory called sparkl (We will do using Hue}.
However, you can first create in local filesystem and then
Step 2 : Load EmployeeManager.csv file from hdfs and create PairRDDs
val manager = sc.textFile("spark1/EmployeeManager.csv")
val managerPairRDD = manager.map(x=> (x.split(",")(0),x.split(",")(1)))
Step 3 : Load EmployeeName.csv file from hdfs and create PairRDDs
val name = sc.textFile("spark1/EmployeeName.csv")
val namePairRDD = name.map(x=> (x.split(",")(0),x.split('\")(1)))
Step 4 : Load EmployeeSalary.csv file from hdfs and create PairRDDs
val salary = sc.textFile("spark1/EmployeeSalary.csv")
val salaryPairRDD = salary.map(x=> (x.split(",")(0),x.split(",")(1)))
Step 4 : Join all pairRDDS
val joined = namePairRDD.join(salaryPairRDD}.join(managerPairRDD}
Step 5 : Now sort the joined results, val joinedData = joined.sortByKey()
Step 6 : Now generate comma separated data.
val finalData = joinedData.map(v=> (v._1, v._2._1._1, v._2._1._2, v._2._2))
Step 7 : Save this output in hdfs as text file.
finalData.saveAsTextFile("spark1/result.txt")