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NEW QUESTION: 1
Note: This question is part of a series of questions that present the same Scenario.
Each question I the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution while others might not have correct solution.
You are implementing a batch processing solution by using Azure HDInsight.
You plan to import 300 TB of data.
You plan to use one job that has many concurrent tasks to import the data in memory.
You need to maximize the amount of concurrent tanks for the job.
What should you do?
A. Use a shuffle join in an Apache Hive query that stores the data in a JSON format.
B. Use an action in an Apache Oozie workflow that stores the data in a text format.
C. Increase the number of spark.executor.instances in an Apache Spark job that stores the data in a text format.
D. Decrease the level of parallelism in an Apache Spark job that Mores the data in a text format.
E. Use a broadcast join in an Apache Hive query that stores the data in an ORC format.
F. Use an Azure Data Factory linked service that stores the data in Azure Data lake.
G. Use an Azure Data Factory linked service that stores the data In an Azure DocumentDB database.
H. Increase the number of spark.executor.cores in an Apache Spark job that stores the data in a text format.
Answer: A

NEW QUESTION: 2
A VNX snapshot can have how many snapshots of the source LUN?
A. 0
B. 1
C. 2
D. 3
Answer: C

NEW QUESTION: 3
Match the design characteristic to the appropriate concept.

Answer:
Explanation: