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NEW QUESTION: 1
HOTSPOT
You need to implement endpoint monitoring.
What should you do? To answer, configure the appropriate options in the dialog box in the answer area.
Answer:
Explanation:
NEW QUESTION: 2
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 zurückkommen. Infolgedessen werden diese Fragen nicht im Überprüfungsbildschirm angezeigt.
Ihr Netzwerk enthält eine Active Directory-Domäne mit dem Namen contoso.com. Die Domäne enthält einen Server mit dem Namen Server1, auf dem Windows Server 2016 ausgeführt wird. Das Computerkonto für Server1 befindet sich in der Organisationseinheit OU1.
Sie erstellen ein Gruppenrichtlinienobjekt mit dem Namen GPO1 und verknüpfen GPO1 mit OU1.
Sie müssen der lokalen Administratorgruppe auf Server1 einen Domänenbenutzer mit dem Namen Benutzer1 hinzufügen.
Lösung: Im Knoten Computerkonfiguration von GPO1 konfigurieren Sie die Voreinstellung Lokale Benutzer und Gruppen.
Erfüllt dies das Ziel?
A. Ja
B. Nein
Answer: A
NEW QUESTION: 3
A. Option E
B. Option B
C. Option D
D. Option C
E. Option A
Answer: B
NEW QUESTION: 4
パイプライン実行から出力を取得する必要があります。出力はどこにありますか？
A. 機械学習ワークスペースのAzureポータルのアクティビティログ
B. Machine Learningstudioの[推論クラスター]タブ
C. digitjdentification.pyスクリプト
D. 出力フォルダーにあるparallel_run_step.txtという名前のファイル
E. デバッグログ
Answer: D
Explanation:
Explanation
output_action (str): How the output is to be organized. Currently supported values are 'append_row' and
'summary_only'.
* 'append_row' - All values output by run() method invocations will be aggregated into one unique file named parallel_run_step.txt that is created in the output location.
* 'summary_only'
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-contrib-pipeline-steps/azureml.contrib.pipeline.steps.parall