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NEW QUESTION: 1
Which of the following statements are correct about a data store? (Multiple Choice)
A. A data store can be associated with multiple hosts and provide resources for the host. A host can use multiple data stores.
B. A storage device can be used only when it is added into a data store.
C. A data store needs to be created on a specified storage device. Only one data store can be created for one storage device.
D. A data store can be used to store VM disks, snapshot files, and VM image files.
Answer: A,B,C

NEW QUESTION: 2
/etc/_______ file には、現在マウントされているデバイスがリストされます。
Answer:
Explanation:
mtab

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.
Latest PEGACPDC88V1 Dumps Sheet
Answer:
Explanation:
Latest PEGACPDC88V1 Dumps Sheet
Explanation
Latest PEGACPDC88V1 Dumps Sheet
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