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NEW QUESTION: 1
Your network contains a System Center 2012 Configuration Manager environment.
The hierarchy contains a Central Administration Site named Site1 and a primary site named Site2.
You discover that none of the packages created on Site1 are displayed in Site2.
You need to identify whether there is a replication issue between the sites.
What should you review?
A. the Microsoft SQL Server replication diagnostic files
B. the Despool.log file
C. the Inventoryagent.log file
D. the Rcmctrl.log file
Answer: D
Explanation:
Question of replication issue: rcmctrl.log

NEW QUESTION: 2
You are designing two stored procedures named Procedure1 and Procedure2. You identify the following requirements:
* Procedure1 must take a parameter that ensures that multiple rows of data can pass into the stored procedure.
* Procedure2 must use business logic that resides in a Microsoft .NET Framework assembly.
You need to identify the appropriate technology for each stored procedure.
Which technologies should you identify? To answer, drag the appropriate technology to the correct stored procedure in the answer area. (Answer choices may be used once, more than once, or not at all.)

Answer:
Explanation:

Explanation
Procedure 1 - A table-valued parameter (TVP);
Procedure 2 - Common language runtime (CLR)
References:
http://msdn.microsoft.com/en-us/library/ms131102.aspx
http://msdn.microsoft.com/en-us/library/bb522446.aspx
http://msdn.microsoft.com/en-us/library/bb510489.aspx

NEW QUESTION: 3
Which address range has been specifically reserved for use with SSM traffic?
A. 224.2.0.0/16
B. 232.0.0.0/8
C. 233.0.0.0/8
D. 239.0.0.0/8
Answer: B
Explanation:
Source-Specific Multicast (SSM) Group address range is 224/4, but it is guaranteed only for 232/8.
References: https://www.juniper.net/documentation/en_US/junos15.1x49/topics/topic- map/mcast-ssm.html

NEW QUESTION: 4
You are building recurrent neural network to perform a binary classification.
The training loss, validation loss, training accuracy, and validation accuracy of each training epoch has been provided. You need to identify whether the classification model is over fitted.
Which of the following is correct?
A. The training loss decreases while the validation loss increases when training the model.
B. The training loss increases while the validation loss decreases when training the model.
C. The training loss .stays constant and the validation loss stays on a constant value and close to the training loss value when training the model.
D. The training loss stays constant and the validation loss decreases when training the model.
Answer: A
Explanation:
Explanation
An overfit model is one where performance on the train set is good and continues to improve, whereas performance on the validation set improves to a point and then begins to degrade.
References:
https://machinelearningmastery.com/diagnose-overfitting-underfitting-lstm-models/