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NEW QUESTION: 1

A. Option B
B. Option E
C. Option C
D. Option A
E. Option D
Answer: A
Explanation:
Explanation
References:
http://docs.oracle.com/cd/B28359_01/server.111/b28275/tdppt_sqltune.htm#TDPPT160

NEW QUESTION: 2
Cisco SD-Accessアーキテクチャでレイヤ2およびレイヤ3論理ネットワークを提供するために使用されているテクノロジーはどれですか。
A. VPNルーティング/転送
B. 簡単な仮想ネットワーク
C. オーバーレイネットワーク
D. アンダーレイネットワーク
Answer: C
Explanation:

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