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NEW QUESTION: 1
管理者が、新しい仮想化テスト環境のハードウェア要件を決定しています。 ベンダーは、各ホストに8 GBのRAM、各ゲストに2 GBのRAMを必要とします。 サーバーに合計32GBのRAMがある場合、サーバーがサポートできるホストとゲストの数はどれですか。
A. 1人のホストと16人のゲスト
B. 1人のホストと12人のゲスト
C. 2人のホストと8人のゲスト
D. 4人のホストと0人のゲスト
Answer: B
NEW QUESTION: 2
Which HP StoreVirtual technology enables your customer to seamlessly upgrade from a P4000 G2 to the latest generation storage nodes?
A. Thin Provisioning
B. Peer Motion
C. Application Integrated Snapshots
D. Remote Copy
Answer: C
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