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NEW QUESTION: 1
Hinweis: Diese Frage ist Teil einer Reihe von Fragen, die dasselbe Szenario verwenden. Zur Vereinfachung wird das Szenario in jeder Frage wiederholt. Jede Frage stellt ein anderes Ziel und eine andere Antwortauswahl dar, aber der Text des Szenarios ist in jeder Frage dieser Reihe genau gleich.
Ihr Netzwerk enthält eine Active Directory-Domäne mit dem Namen contoso.com. Die Funktionsebene der Domäne ist Windows Server 2012.
Das Netzwerk verwendet einen Adressraum von 192.168.0.0/16 und enthält mehrere Subnetze.
Das Netzwerk ist nicht mit dem Internet verbunden.
Die Domäne enthält drei Server, die wie in der folgenden Tabelle gezeigt konfiguriert sind.
Clientcomputer erhalten die TCP / IP-Einstellung von Server3.
Sie fügen Server2 einen zweiten Netzwerkadapter hinzu. Sie verbinden den neuen Netzwerkadapter mit dem Internet. Sie installieren den Routing-Rollendienst auf Server2.
Server1 verfügt über vier DNS-Zonen, die wie in der folgenden Tabelle gezeigt konfiguriert sind.
Sie müssen sicherstellen, dass Computer in der Domäne Folgendes beheben können:
Der Name server2.contoso.com in den Namen nat.contoso.com
Die 192.168.10.50 IP-Adresse lautet host7.fabrikam.com
Der Name server7.tailspintoys.com an die IP-Adresse 192.168.100.101
Welche Arten von DNS-Einträgen sollten Sie verwenden? Ziehen Sie zum Beantworten die entsprechenden DNS-Eintragstypen auf die richtigen Anforderungen. Jeder DNS-Eintragstyp kann einmal, mehrmals oder gar nicht verwendet werden. Möglicherweise müssen Sie die geteilte Leiste zwischen den Fenstern ziehen oder einen Bildlauf durchführen, um den Inhalt anzuzeigen.
Answer:
Explanation:
NEW QUESTION: 2
Which of the following services are key/value stores? Choose 3 answers
A. Simple Storage Service
B. Simple Workflow Service
C. Amazon ElastiCache
D. DynamoDB
E. Simple Notification Service
Answer: C,D,E
NEW QUESTION: 3
世界中にいる患者の医療記録の分析を実行する予定です。
クラウドでのデータの保存と処理を回避するソリューションを推奨する必要があります。
推奨事項に何を含めるべきですか？
A. Azure Machine Learningサービス
B. Azure Machine Learning Studio
C. MMLSparkを使用するApache Sparkクラスター
D. コンテナーをサポートするテキスト分析API
Answer: C
Explanation:
Apache Spark用のMicrosoft Machine Learning Library（MMLSpark）は、大規模なデータセット、特にディープラーニングの問題を構築するためのスケーラブルな機械学習モデルのプロビジョニングを支援します。 MMLSparkは、Microsoft CNTKやOpenCVライブラリなどのSparkMLパイプラインと連携し、画像入力データの入力と処理、画像の分類、事前学習済みの深層学習アルゴリズムを使用したテキスト分析のエンドツーエンドサポートを提供します。
参照：
https://subscription.packtpub.com/book/big_data_and_business_intelligence/9781789131956/10/ch10lvl1sec61/an-overview-of-the-microsoft-machine-learning-library-for-apache-spark-mmlspark