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NEW QUESTION: 1
Hinweis: Diese Frage ist Teil einer Reihe von Fragen, die dasselbe Szenario darstellen. Jede Frage in der Reihe enthält eine eindeutige Lösung, mit der die angegebenen Ziele erreicht werden können. Einige Fragensätze haben möglicherweise mehr als eine richtige Lösung, während andere möglicherweise keine richtige Lösung haben.
Nachdem Sie eine Frage in diesem Abschnitt beantwortet haben, können Sie NICHT mehr darauf zurückgreifen. Infolgedessen werden diese Fragen nicht im Überprüfungsbildschirm angezeigt.
Sie haben einen Computer mit dem Namen Computer1, auf dem Windows 10 ausgeführt wird.
Ein Dienst mit dem Namen Application1 wird wie in der Abbildung gezeigt konfiguriert.
Sie stellen fest, dass ein Benutzer das Konto Service1 verwendet hat, um sich bei Computer1 anzumelden, und einige Dateien gelöscht hat.
Sie müssen sicherstellen, dass die von Application1 verwendete Identität nicht von einem Benutzer zum Anmelden beim Desktop auf Computer1 verwendet werden kann. Die Lösung muss das Prinzip des geringsten Privilegs anwenden.
Lösung: Auf Computer1 weisen Sie Service1 das Recht zum Verweigern der Anmeldung als Dienstbenutzer zu.
Erfüllt dies das Ziel?
A. Nein
B. Ja
Answer: A
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/windows/security/threat-protection/security-policy-settings/deny-log-on-as-a-se
NEW QUESTION: 2
プロジェクトデータセットをトレーニングとテストに分割することについて正しい2つのステートメントはどれですか？
A. トレーニングデータの割合が大きいほど、過剰適合のリスクが少なくなります。
B. SPSS Modelerの再構築ノードを使用して、データをトレーニングサンプルとテストサンプルに分割します。
C. SPSS Modelerのパーティションノードを使用して、データをトレーニングサンプルとテストサンプルに分割します。
D. ランダムシードを使用して、一貫したランダムトレーニングデータを保証できます。
E. より大きな既存のデータセットからテストサンプルを作成するには、SparkMLLibを使用してPythonでトレーニングする前に、新しいより小さなデータセットを作成する必要があります。
Answer: A,B
NEW QUESTION: 3
A. Option D
B. Option C
C. Option B
D. Option A
Answer: D
Explanation:
To make the Sources share invisible you should remove the old share and then assign $ to create a hidden share.