Question 2: You have migrated in-house 10 TB of data to Oracle Cloud object storage, which was being used by a research team. And they (research team) was keep running some analytics jobs (Apache Spark) and batch processing (Hadoop MapReduce, scheduled jobs). However, as data is not available in house and uploaded into the Oracle Object storage. How would you solve this issue for research team?

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A.      You will create a duplicate copy of this data in-house and enable data sync capabilities between Oracle Object storage and in-house storage.

B.      You will download the entire data back to the in-house storage and manually keep synching the data.

C.      You can use HDFS connector to access data for MapReduce, which is stored in the Oracle Object Storage.

D.      You can use HDFS connector to access data for Apache Spark, which is stored in the Oracle Object Storage.

Ans: C, D

 

Exp: Oracle Cloud Object storage provides the support to access data for Hadoop as well as Apache Spark. Store data in Object storage and use HDFS connector to connect with the Apache Spark, MapReduce etc. 

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