Free ACA-BigData1 – ACA Big Data Associate Practice Test Question

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  Apache Flume

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  Apache Kafka

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  Apache Spark

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  Apache Lucene
  
  
  

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  Not running

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  Running

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  Running Successfully
  
  
  

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  It reduces clients' need to interact with the master because reads and writes on the same block( or
  chunck) require only one initial request to the master for block location information

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  Since on a large block(or chunk), a client is more likely to perform many operations on a given block, it can reduce network overhead by keeping a persistent TCP connection to the metadata server over an extended period of time

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  It reduces the size of the metadata stored on the master

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  The servers storing those blocks may become hot spots if many clients are accessing the same small
  files

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  If necessary to support even larger file systems, the cost of adding extra memory to the meta data
  server is a big price
  
  
  

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  Project

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  Solution

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  Business flow

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  Directory
  
  
  

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  Project

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  Solution

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  Business flow

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  Directory
  
  
  

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  delete from log where dt='20180101'

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  truncate table where dt='20180101'

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  drop partition log (dt='20180101')

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  alter table log drop partition(dt='20180101')
  
  
  

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  True

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  False
  
  
  

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  Ingest with Hadoop streaming

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  Ingest using Hive

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  Ingest with sqoop import

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  Ingest with Pig's LOAD command
  
  
  

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  Develop directly on MaxCompute and use script-timed scheduling tasks

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  Use DataWorks

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  Use Eclipse

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  Use a private platform specially developed for this project
  
  
  

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  True

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  False