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NEW QUESTION: 1
Which of the following protocols operates without a port number assignment?
A. AFP
B. TCP
C. SNMP
D. SSH
Answer: A

NEW QUESTION: 2
A customer is struggling with how to support application delivery to its highly mobile sales force. There are
two Windows applications that need to be delivered, which could present a challenge. Both applications
use a local copy of the central database and the applications are frequently being updated.
During assessments and user interviews, the sales personnel indicated that they frequently use these two
applications while traveling in areas with poor connectivity. The sales people rarely connect to the
company network. Pushing out updates using a traditional deployment system is therefore difficult.
Which solution from VMware would solve the customer's situation?
A. Package the applications using ThinApp and manage delivery and updates using VMware Identity
Manager.
B. Install the applications on RDS Hosts and publish them using Horizon 7. Since installed centrally,
management of the applications will now be possible using traditional methods.
C. Package the application using ThinApp for isolation and publish them to users using Horizon 7. Place
the ThinApp packages on a network share for central and easy updates.
D. Package the applications as an App Volumes Appstack. Manage delivery and updates off the Appstack
using VMware Identity Manager.
Answer: D

NEW QUESTION: 3
Which type of dashboard does Cisco DNA Center provide for complete control of the network?
A. distributed management
B. application management
C. centralized management
D. service management
Answer: C
Explanation:
Cisco's DNA Center is the only centralized network management system to bring all of this functionality into a single pane of glass.
Reference:
dna-center-faq-cte-en.html

NEW QUESTION: 4
CORRECT TEXT
Problem Scenario 24 : You have been given below comma separated employee information.
Data Set:
name,salary,sex,age
alok,100000,male,29
jatin,105000,male,32
yogesh,134000,male,39
ragini,112000,female,35
jyotsana,129000,female,39
valmiki,123000,male,29
Requirements:
Use the netcat service on port 44444, and nc above data line by line. Please do the following activities.
1. Create a flume conf file using fastest channel, which write data in hive warehouse directory, in a table called flumemaleemployee (Create hive table as well tor given data).
2. While importing, make sure only male employee data is stored.
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Step 1 : Create hive table for flumeemployee.'
CREATE TABLE flumemaleemployee
(
name string,
salary int,
sex string,
age int
)
ROW FORMAT DELIMITED FIELDS TERMINATED BY ',';
step 2 : Create flume configuration file, with below configuration for source, sink and channel and save it in flume4.conf.
#Define source , sink, channel and agent.
agent1 .sources = source1
agent1 .sinks = sink1
agent1 .channels = channel1
# Describe/configure source1
agent1 .sources.source1.type = netcat
agent1 .sources.source1.bind = 127.0.0.1
agent1.sources.sourcel.port = 44444
#Define interceptors
agent1.sources.source1.interceptors=il
agent1 .sources.source1.interceptors.i1.type=regex_filter
agent1 .sources.source1.interceptors.i1.regex=female
agent1 .sources.source1.interceptors.i1.excludeEvents=true
## Describe sink1
agent1 .sinks, sinkl.channel = memory-channel
agent1.sinks.sink1.type = hdfs
agent1 .sinks, sinkl. hdfs. path = /user/hive/warehouse/flumemaleemployee hdfs-agent.sinks.hdfs-write.hdfs.writeFormat=Text agentl .sinks.sink1.hdfs.fileType = Data Stream
# Now we need to define channel1 property.
agent1.channels.channel1.type = memory
agent1.channels.channell.capacity = 1000
agent1.channels.channel1.transactionCapacity = 100
# Bind the source and sink to the channel
agent1 .sources.source1.channels = channel1
agent1 .sinks.sink1.channel = channel1
step 3 : 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/flumeconf/flume4.conf --name agentl
Step 4 : Open another terminal and use the netcat service, nc localhost 44444
Step 5 : Enter data line by line.
alok,100000,male,29
jatin,105000,male,32
yogesh,134000,male,39
ragini,112000,female,35
jyotsana,129000,female,39
valmiki.123000.male.29
Step 6 : Open hue and check the data is available in hive table or not.
Step 7 : Stop flume service by pressing ctrl+c
Step 8 : Calculate average salary on hive table using below query. You can use either hive command line tool or hue. select avg(salary) from flumeemployee;