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NEW QUESTION: 1
An administrator is bringing a service group online. One of the resources is remaining offline, and is shown in waiting to go online state. Which command should the administrator run to stop Veritas Cluster Server from attempting to bring the resource online to troubleshoot the issue?
A. hares -clear
B. hares -offline
C. hagrp -offline
D. hagrp -flush
Answer: B
NEW QUESTION: 2
-- Exhibit -
-- Exhibit --
Refer to the exhibits.
After upgrading LTM from v10 to v11, users are unable to connect to an application. The virtual server is using a client SSL profile for re-terminating SSL for payload inspection, but a server SSL profile is being used to re-encrypt the request.
A client side ssldump did NOT show any differences between the traffic going directly to the server and the traffic being processed by the LTM device. However, packet capture was done on the server, and differences were noted.
Which modification will allow the LTM device to process the traffic correctly?
A. Change to different ciphers on the server SSL profile.
B. Change Secure Renegotiation to "Request."
C. Enable ProxySSL option in the server SSL profile.
D. Enable Strict Resume.
Answer: B
NEW QUESTION: 3
You need to define an evaluation strategy for the crowd sentiment models.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Scenario:
Experiments for local crowd sentiment models must combine local penalty detection data.
Crowd sentiment models must identify known sounds such as cheers and known catch phrases. Individual crowd sentiment models will detect similar sounds.
Note: Evaluate the changed in correlation between model error rate and centroid distance In machine learning, a nearest centroid classifier or nearest prototype classifier is a classification model that assigns to observations the label of the class of training samples whose mean (centroid) is closest to the observation.
References:
https://en.wikipedia.org/wiki/Nearest_centroid_classifier
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/sweep-clustering