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NEW QUESTION: 1
John works as a Network Administrator for Perfect Solutions Inc. The company has a Linux-based network. John is working as a root user on the Linux operating system. He wants to break a dat a.txt file, 200MB in size, into two files in which the size of the first file named data.txt.aa should be 150MB and that of the second file named data.txt.ab should be 50MB. To accomplish his task and to further delete the data.txt file, he enters the following command: split --verbose -b 150m data.txt data.txt. ; rm -vf data.txt Which of the following commands can John use to join the splitted files into a new data.txt file?
A. cat data.txt.* > data.txt
B. less data.txt.* > data.txt
C. vi data.txt.*
D. vi data.txt.* > data.txt
Answer: A
Explanation:
The cat data.txt.* command will display both the splitted files, and the > command will redirect the output into a new data.txt file.

NEW QUESTION: 2

A. Option B
B. Option D
C. Option C
D. Option A
Answer: A

NEW QUESTION: 3
You are designing an Al solution that must meet the following processing requirements:
* Use a parallel processing framework that supports the in-memory processing of high volumes of data.
* Use in-memory caching and a columnar storage engine for Apache Hive queries.
What should you use to meet each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Apache Spark
Apache Spark is a parallel processing framework that supports in-memory processing to boost the performance of big-data analytic applications. Apache Spark in Azure HDInsight is the Microsoft implementation of Apache Spark in the cloud.
Box 2: Interactive Query
Interactive Query provides In-memory caching and improved columnar storage engine for Hive queries.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-overview
https://docs.microsoft.com/bs-latn-ba/azure/hdinsight/interactive-query/apache-interactive-query-get-started

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