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NEW QUESTION: 1
What is the name of the HTTP header field that AppResponse Xpert uses to identify the originating internet protocol (IP) of a client that connects to a web server through an intervening HTTP proxy or load balancer?
A. User-agent
B. X-Forwarded-For
C. Cache-control
D. Origin
Answer: B

NEW QUESTION: 2
The implementations group has been using the test bed to do a 'proof-of-concept' that requires both Client 1 and
Client 2 to access the WEB Server at 209.65.200.241. After several changes to the network addressing, routing scheme, DHCP services, NTP services, layer 2 connectivity, FHRP services, and device security, a trouble ticket has been opened indicating that Client 1 cannot ping the 209.65.200.241 address.
Use the supported commands to isolated the cause of this fault and answer the following questions.
The fault condition is related to which technology?
A. IPv4 OSPF Routing
B. IPv4 layer 3 security
C. IP NAT
D. IPv6 OSPF Routing
E. IPv4 OSPF Redistribution
F. BGP
G. NTP
Answer: F
Explanation:
On R1 under router the BGP process Change neighbor 209.56.200.226 remote-as 65002 statement to neighbor
209.65.200.226 remote-as 65002

NEW QUESTION: 3
CORRECT TEXT
Problem Scenario 25 : You have been given below comma separated employee information. That needs to be added in /home/cloudera/flumetest/in.txt file (to do tail source) sex,name,city
1 ,alok,mumbai
1 ,jatin,chennai
1 ,yogesh,kolkata
2 ,ragini,delhi
2 ,jyotsana,pune
1,valmiki,banglore
Create a flume conf file using fastest non-durable channel, which write data in hive warehouse directory, in two separate tables called flumemaleemployee1 and flumefemaleemployee1
(Create hive table as well for given data}. Please use tail source with
/home/cloudera/flumetest/in.txt file.
Flumemaleemployee1 : will contain only male employees data flumefemaleemployee1 :
Will contain only woman employees data
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Create hive table for flumemaleemployeel and .'
CREATE TABLE flumemaleemployeel
(
sex_type int, name string, city string )
ROW FORMAT DELIMITED FIELDS TERMINATED BY ',';
CREATE TABLE flumefemaleemployeel
(
sex_type int, name string, city string
)
ROW FORMAT DELIMITED FIELDS TERMINATED BY ',';
Step 2 : Create below directory and file mkdir /home/cloudera/flumetest/ cd
/home/cloudera/flumetest/
Step 3 : Create flume configuration file, with below configuration for source, sink and channel and save it in flume5.conf.
agent.sources = tailsrc
agent.channels = mem1 mem2
agent.sinks = stdl std2
agent.sources.tailsrc.type = exec
agent.sources.tailsrc.command = tail -F /home/cloudera/flumetest/in.txt agent.sources.tailsrc.batchSize = 1 agent.sources.tailsrc.interceptors = i1 agent.sources.tailsrc.interceptors.i1.type = regex_extractor agent.sources.tailsrc.interceptors.il.regex = A(\\d} agent.sources.tailsrc.
interceptors. M.serializers = t1 agent.sources.tailsrc. interceptors, i1.serializers.t1. name = type agent.sources.tailsrc.selector.type = multiplexing agent.sources.tailsrc.selector.header = type agent.sources.tailsrc.selector.mapping.1 = memi agent.sources.tailsrc.selector.mapping.2 = mem2 agent.sinks.std1.type = hdfs
agent.sinks.stdl.channel = mem1
agent.sinks.stdl.batchSize = 1
agent.sinks.std1.hdfs.path = /user/hive/warehouse/flumemaleemployeei
agent.sinks.stdl.rolllnterval = 0
agent.sinks.stdl.hdfs.tileType = Data Stream
agent.sinks.std2.type = hdfs
agent.sinks.std2.channel = mem2
agent.sinks.std2.batchSize = 1
agent.sinks.std2.hdfs.path = /user/hi ve/warehouse/fIumefemaleemployee1 agent.sinks.std2.rolllnterval = 0 agent.sinks.std2.hdfs.tileType = Data Stream agent.channels.mem1.type = memory agent.channels.meml.capacity = 100
agent.channels.mem2.type = memory agent.channels.mem2.capacity = 100
agent.sources.tailsrc.channels = mem1 mem2
Step 4 : Run below command which will use this configuration file and append data in hdfs.
Start flume service:
flume-ng agent -conf /home/cloudera/flumeconf -conf-file
/home/cloudera/fIumeconf/flume5.conf --name agent
Step 5 : Open another terminal create a file at /home/cloudera/flumetest/in.txt.
Step 6 : Enter below data in file and save it.
l.alok.mumbai
1 jatin.chennai
1 ,yogesh,kolkata
2 ,ragini,delhi
2 ,jyotsana,pune
1,valmiki,banglore
Step 7 : Open hue and check the data is available in hive table or not.
Step 8 : Stop flume service by pressing ctrl+c

NEW QUESTION: 4
How can you reduce processing time for a Crystal report?
A. Perform grouping on the server
B. Perform query asynchronously
C. Verify data on first refresh
D. Sort records on the client
Answer: A