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NEW QUESTION: 1
자신의 연습 범위를 위반하는 개인 트레이너와 관련된 주장은 어느 영역에서 가장 자주 발생합니까?
A. 보충 권장 사항
B. 부적절한 운동 처방
C. HIPAA 위반
D. 비상 대응 과실
Answer: A

NEW QUESTION: 2
When router A receives the BGP update for the 192.168.0.1/27 prefix, it propagates it to routers B and C. What action is taken by router B when it receives the update?
A. Router B detects duplicates in its BGP database and discards the update.
B. Router B propagates the BGP update to routers D and C
C. Router B propagates the update to routers A, C and D
D. Router B propagates the BGP update to router D
Answer: D

NEW QUESTION: 3
CORRECT TEXT
Problem Scenario 73 : You have been given data in json format as below.
{"first_name":"Ankit", "last_name":"Jain"}
{"first_name":"Amir", "last_name":"Khan"}
{"first_name":"Rajesh", "last_name":"Khanna"}
{"first_name":"Priynka", "last_name":"Chopra"}
{"first_name":"Kareena", "last_name":"Kapoor"}
{"first_name":"Lokesh", "last_name":"Yadav"}
Do the following activity
1 . create employee.json file locally.
2 . Load this file on hdfs
3 . Register this data as a temp table in Spark using Python.
4 . Write select query and print this data.
5 . Now save back this selected data in json format.
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : create employee.json tile locally.
vi employee.json (press insert) past the content.
Step 2 : Upload this tile to hdfs, default location hadoop fs -put employee.json
Step 3 : Write spark script
#lmport SQLContext
from pyspark import SQLContext
# Create instance of SQLContext sqIContext = SQLContext(sc)
# Load json file
employee = sqlContext.jsonFile("employee.json")
# Register RDD as a temp table employee.registerTempTablef'EmployeeTab"}
# Select data from Employee table
employeelnfo = sqlContext.sql("select * from EmployeeTab"}
#lterate data and print
for row in employeelnfo.collect():
print(row)
Step 4 : Write dataas a Text file employeelnfo.toJSON().saveAsTextFile("employeeJson1")
Step 5: Check whether data has been created or not hadoop fs -cat employeeJsonl/part"