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NEW QUESTION: 1
CORRECT TEXT
Answer:
Explanation:
Router>enable
Router#config terminal
Router(config)#hostname Gotha
Gotha(config)#enable secret mi222ke
Gotha(config)#line console 0
Gotha(config-line)#password G8tors1
Gotha(config-line)#exit
Gotha(config)#line vty 0 4
Gotha(config-line)#password dun63lap
Gotha(config-line)#login
Gotha(config-line)#exit
Gotha(config)#interface fa0/0
Gotha(config-if)#no shutdown
Gotha(config-if)#ip address 209.165.201.4 255.255.255.224
Gotha(config)#interface s0/0/0
Gotha(config-if)#ip address 192.0.2.190 255.255.255.240
Gotha(config-if)#no shutdown
Gotha(config-if)#exit
Gotha(config)#router rip
Gotha(config-router)#version 2
Gotha(config-router)#network 209.165.201.0
Gotha(config-router)#network 192.0.2.176
Gotha(config-router)#end
Gotha#copy running-config startup-config
NEW QUESTION: 2
Which two wireless attributes should be considered during a wireless site survey procedure? (Choose two.)
A. power
B. encryption
C. SSID
D. authentication
E. channel
Answer: A,E
NEW QUESTION: 3
You have a VPN server that runs Windows Server 2003 Service Pack 2 (SP2).
You need to monitor the performance of the VPN server for one day.
What should you do?
A. From the Performance console, create a trace log.
B. Install Network Monitor Tools. From Network Monitor create a new parser file.
C. From the Performance console, create a counter log.
D. Install Network Monitor Tools. From Network Monitor create a new capture.
Answer: C
NEW QUESTION: 4
You register a file dataset named csvjolder that references a folder. The folder includes multiple com ma-separated values (CSV) files in an Azure storage blob container. You plan to use the following code to run a script that loads data from the file dataset. You create and instantiate the following variables:
You have the following code:
You need to pass the dataset to ensure that the script can read the files it references. Which code segment should you insert to replace the code comment?
A)
B)
C)
D)
A. Option C
B. Option A
C. Option B
D. Option D
Answer: D
Explanation:
Explanation
Example:
from azureml.train.estimator import Estimator
script_params = {
# to mount files referenced by mnist dataset
'--data-folder': mnist_file_dataset.as_named_input('mnist_opendataset').as_mount(),
'--regularization': 0.5
}
est = Estimator(source_directory=script_folder,
script_params=script_params,
compute_target=compute_target,
environment_definition=env,
entry_script='train.py')
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-train-models-with-aml