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NEW QUESTION: 1
Your network contains an Active Directory domain named contoso.com. Contoso.com contains two servers named Server1 and Server2 that run Windows Server 2008 R2.
DirectAccess is deployed on Server2.
You need to configure Server1 as a network location server (NLS).
Which Web Server (IIS) role service should you install on Server1?
A. IIS Client Certificate Mapping Authentication
B. Request Filtering
C. URL Authorization
D. IP and Domain Restrictions
Answer: D
Explanation:
See steps below:
If your DirectAccess server is acting as the network location server, you must install the
Web Server (IIS) server role with the IP and Domain Restrictions role service. Source: http://technet.microsoft.com/en-us/library/ee649160%28WS.10%29.aspx
NEW QUESTION: 2
To which of the following entities must you assign the phone call work center view to access the live activity pane for computer telephony integration (CTI)?
Note: There are 2 correct answers to this question.
Note: There are 2 correct answers to this question.
A. Employee
B. Business role
C. Business user
D. Organizational unit
Answer: B,D
NEW QUESTION: 3
機械学習モデルを使用してインテリジェントなソリューションを構築しています。
環境は、次の要件をサポートする必要があります。
*データサイエンティストはクラウド環境でノートブックを作成する必要があります
*データサイエンティストは、機械学習パイプラインで自動機能エンジニアリングとモデル構築を使用する必要があります。
*動的なワーカー割り当てでSparkインスタンスを使用して再トレーニングするには、ノートブックをデプロイする必要があります。
*ノートブックは、ローカルでバージョン管理できるようにエクスポート可能である必要があります。
環境を作成する必要があります。
どの4つのアクションを順番に実行する必要がありますか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序で配置します。
Answer:
Explanation:
Explanation:
Step 1: Create an Azure HDInsight cluster to include the Apache Spark Mlib library Step 2: Install Microsot Machine Learning for Apache Spark You install AzureML on your Azure HDInsight cluster.
Microsoft Machine Learning for Apache Spark (MMLSpark) provides a number of deep learning and data science tools for Apache Spark, including seamless integration of Spark Machine Learning pipelines with Microsoft Cognitive Toolkit (CNTK) and OpenCV, enabling you to quickly create powerful, highly-scalable predictive and analytical models for large image and text datasets.
Step 3: Create and execute the Zeppelin notebooks on the cluster
Step 4: When the cluster is ready, export Zeppelin notebooks to a local environment.
Notebooks must be exportable to be version controlled locally.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-zeppelin-notebook
https://azuremlbuild.blob.core.windows.net/pysparkapi/intro.html