A. Clean Up Rules
B. Stealth Rules
C. Post Rules
D. Pre Rules
E. Default Rules
Answer: C,D,E
Explanation:
Explanation: https://www.paloaltonetworks.com/documentation/71/pan-os/web-interface- help/panorama-web-interface/defining-policies-on-panorama
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NEW QUESTION: 1
かんばんカードは常にユーザーストーリーを使用して書かれるべきです。
A. 真
B. 偽
Answer: B
NEW QUESTION: 2
A company deploys a wireless network in a typical office environment with many surfaces where the signal can bounce. Which 802.11 technology uses the characteristics of this environment to increase wireless speeds?
A. QAM modulation
B. Multiple Input Multiple Output (MIMO)
C. Channel bonding
D. Transmit Power Control (TPC)
Answer: B
NEW QUESTION: 3
A. Clean Up Rules
B. Stealth Rules
C. Post Rules
D. Pre Rules
E. Default Rules
Answer: C,D,E
Explanation:
Explanation: https://www.paloaltonetworks.com/documentation/71/pan-os/web-interface- help/panorama-web-interface/defining-policies-on-panorama
NEW QUESTION: 4
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"