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NEW QUESTION: 1
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
NEW QUESTION: 2
ネットワークエンジニアは、一時的な労働者が接続するスイッチをインストールしています。エンジニアは、このスイッチがネットワークの他の部分でスパニングツリーに参加していることを望んでいません。しかしながら、エンドユーザの接続が依然として必要とされています。これを達成できるスパニングツリー機能は次のどれですか？
A. BPDUguard
B. BPDUblock
C. BPDUfilter
D. BPDUignore
E. BPDUdisable
Answer: C
NEW QUESTION: 3
The firewall determines if a packet is the first packet of a new session or if a packet is part of an existing session using which kind of match?
A. 7-tuple match:
Source IP Address, Destination IP Address, Source port, Destination Port, Source User, URL Category, and Source Security Zone
B. 5-tuple match:
Source IP Address, Destination IP Address, Source port, Destination Port, Protocol
C. 6-tuple match:
Source IP Address, Destination IP Address, Source port, Destination Port, Protocol, and Source Security Zone
D. 9-tuple match:
Source IP Address, Destination IP Address, Source port, Destination Port, Source User, Source Security Zone, Destination Security Zone, Application, and URL Category
Answer: C