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NEW QUESTION: 1
Market size is an attribute dimension with the following members: Large, Medium, and Small.
Which of the following options below represent valid syntax statements in a calc script?
A. Calc Dim (Accounts, Markets, Market Size);
B. FIX (@ATTRIBUTE(Large))
C. Calc Dim (Accounts, Markets, "Market Size");
D. FIX(Large)
Answer: B,C
Explanation:
Explanation: For example, using Sample Basic, assume this statement is in a calculation script:
FIX (@children(january))CALC DIM (Accounts, Product, Market)ENDFIX

NEW QUESTION: 2
A patient at your hospital is prescribed: Drug Xt 2mg/kg TID. Her chart shows she weighs 110 lbs. How
many mg per day will she receive?
A. 100mg
B. 200mg
C. 400mg
D. 300mg
Answer: D

NEW QUESTION: 3
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.
Sie haben eine virtuelle Azure-Maschine mit dem Namen VM1. VM1 wurde mithilfe einer benutzerdefinierten Azure Resource Manager-Vorlage mit dem Namen ARM1.json bereitgestellt.
Sie erhalten eine Benachrichtigung, dass VM1 von der Wartung betroffen ist.
Sie müssen VM1 sofort auf einen anderen Host verschieben.
Lösung: Klicken Sie im Update Management Blade auf Aktivieren.
Erfüllt dies das Ziel?
A. Nein
B. Ja
Answer: A
Explanation:
You would need to Redeploy the VM.
References: https://docs.microsoft.com/en-us/azure/virtual-machines/windows/redeploy-to-new-node

NEW QUESTION: 4
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構築する必要がある
*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フィーチャ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、ノートブックを展開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するため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エリアに移動し、正しい順序に並べます。

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