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NEW QUESTION: 1
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A. Option D
B. Option C
C. Option A
D. Option B
Answer: B
Explanation:
Explanation
ASP.NET session state service provides a somewhat slower service than the in-process variant as we need to make calls to a remote server. All session data is stored in memory so shutting down the state machine will wipe out all session data as well.
References: https://dotnetcodr.com/2013/07/01/web-farms-in-net-and-iis-part-5-session-state-management/

NEW QUESTION: 2
Siehe Ausstellung.
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In welchem ​​Modus ist der SW1-Portkanal basierend auf dem LACP-Nachbarstatus konfiguriert?
A. auto
B. Modus ein
C. aktiv
D. passiv
Answer: C
Explanation:
Explanation
From the neighbor status, we notice the "Flags" are SP. "P" here means the neighbor is in Passive mode.In order to create an Etherchannel interface, the (local) SW1 ports should be in Active mode.Moreover, the "Port State" in the exhibit is "0x3c" (which equals to "00111100 in binary format).Bit 3 is "1" which means the ports are synchronizing -> the ports are working so the local ports should be in Active mode.

NEW QUESTION: 3
群衆感情モデルの評価戦略を定義する必要があります。
順番に実行する必要がある3つのアクションはどれですか?回答するには、適切なアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。
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Answer:
Explanation:
EGFF_2024 Reliable Exam Tips
Explanation
EGFF_2024 Reliable Exam Tips
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