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NEW QUESTION: 1
ユーザーのジョーは、自分の机で作業しているときに、ノートブックをモニター、マウス、キーボードに接続する必要があります。彼のノートブックはビジネスクラスではありませんが、パーソナルコンピューターに関する会社のポリシーを満たしています。
技術者がジョーのためにインストールする必要があるのは次のどれですか？
A. ポート転送デバイス
B. ドッキングステーション
C. KVMスイッチ
D. USBハブ
Answer: B

NEW QUESTION: 2
By default, which port does the WebUI listen on?
A. 0
B. 1
C. 2
D. 3
Answer: B
Explanation:
To configure Security Management Server on Gaia:

NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.
You have a table that has a clustered index and a nonclustered index. The indexes use different columns from the table. You have a query named Query1 that uses the nonclustered index.
Users report that Query1 takes a long time to report results. You run Query1 and review the following statistics for an index seek operation:

You need to resolve the performance issue.
Solution: You drop the nonclustered index.
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation
We see Actual Number of Row is 3571454, while Estimated Number of Rows is 0.
This indicates that the statistics are old, and need to be updated.

NEW QUESTION: 4
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、述べられた目標を達成する可能性のある独自の解決策が含まれています。一部の質問セットには複数の正しい解決策がある場合がありますが、他の質問セットには正しい解決策がない場合があります。
このセクションの質問に回答した後は、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
Azure Machine Learningを使用して、分類モデルをトレーニングする実験を実行しています。
Hyperdriveを使用して、モデルのAUCメトリックを最適化するパラメーターを見つけたいと考えています。次のコードを実行して、実験用にHyperDriveConfigを構成します。

この構成を使用して、ランダムフォレストモデルをトレーニングし、検証データでテストするスクリプトを実行することを計画しています。検証データのラベル値はy_test変数という名前の変数に格納され、モデルから予測された確率はy_predictedという名前の変数に格納されます。
HyperdriveがAUCメトリックのハイパーパラメータを最適化できるようにするには、スクリプトにログを追加する必要があります。
解決策：次のコードを実行します。

ソリューションは目標を達成していますか？
A. いいえ
B. はい
Answer: A
Explanation:
Use a solution with logging.info(message) instead.
Note: Python printing/logging example:
logging.info(message)
Destination: Driver logs, Azure Machine Learning designer
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-debug-pipelines