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NEW QUESTION: 1
A. Option D
B. Option A
C. Option B
D. Option C
Answer: A
NEW QUESTION: 2
会社には、1つのアベイラビリティーゾーンのEC2インスタンスで実行されているアプリケーションがあります。 sysops管理者は、アプリケーションを高可用性にすることを任されています。管理者は、実行中のEC2インスタンスから起動構成を作成しました。管理者は、ロードバランサーも適切に構成しました。
アプリケーションを高可用性にするために、管理者は次にどのステップを完了する必要がありますか？
A. 最小サイズが1、必要な容量が1、最大サイズが1である少なくとも2つのアベイラビリティーゾーンにわたって起動設定を使用して、Auto Scalingグループを作成します。
B. 最小サイズ2の必要な容量2、最大2の少なくとも3つのアベイラビリティーゾーンにわたって起動設定を使用して、Auto Scalingグループを作成します
C. 最小サイズ2の望ましい容量2と最大サイズ2の少なくとも3つのリージョンにまたがる起動設定を使用して、Auto Scalingグループを作成します
D. 最小サイズが1、必要な容量が1、最大サイズが1である、少なくとも2つのリージョンにまたがる起動設定を使用して、Auto Scalingグループを作成します
Answer: B
NEW QUESTION: 3
You are designing a solution that will ingest data from an Azure loT Edge device, preprocess the data in Azure Machine Learning, and then move the data to Azure HDInsight for further processing.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Export Data
The Export data to Hive option in the Export Data module in Azure Machine Learning Studio. This option is useful when you are working with very large datasets, and want to save your machine learning experiment data to a Hadoop cluster or HDInsight distributed storage.
Box 2: Apache Hive
Apache Hive is a data warehouse system for Apache Hadoop. Hive enables data summarization, querying, and analysis of data. Hive queries are written in HiveQL, which is a query language similar to SQL.
Box 3: Azure Data Lake
Default storage for the HDFS file system of HDInsight clusters can be associated with either an Azure Storage account or an Azure Data Lake Storage.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/export-to-hive-query
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/hdinsight-use-hive