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Exam Code: 1z0-1053-22
Exam Name: Oracle Benefits Cloud 2022 Implementation Professional
Version: V22.75
Q & A: 580 Questions and Answers
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NEW QUESTION: 1
Scenario: A Citrix Administrator needs to implement new security standards to protect all internal users' username and password information within the XenDesktop infrastructure. The administrator must accomplish this task with the least amount of administrative overhead and cost to the company.
What should the administrator deploy?
A. A third-party SSL certificate on the Delivery Controller(s)
B. A Domain SSL certificate on the StoreFront Server(s) and Delivery Controller(s)
C. A third-party certificate on the StoreFront Server(s) and Delivery Controller(s)
D. A Domain SSL certificate on the StoreFront Server(s)
Answer: B
NEW QUESTION: 2
Siehe Ausstellung.
Welche Aktion wird von SW1 erwartet, wenn der nicht getaggte Frame auf der GigabitEthernet0 / 1-Schnittstelle empfangen wird?
A. Der Frame wird in VLAN 1 verarbeitet
B. Der Frame wird gelöscht
C. Der Frame wird in VLAN 11 verarbeitet
D. Der Frame wird in VLAN 5 verarbeitet.
Answer: D
NEW QUESTION: 3
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 increases while the validation loss decreases when training the model.
B. The training loss stays constant and the validation loss decreases when training the model.
C. The training loss decreases while the validation loss increases when training the model.
D. 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.
Answer: C
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/
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