New CCA175 Exam Questions - Pass Cloudera CCA175 - RealExamCollection

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Information about New CCA175 Exam Questions - Pass Cloudera CCA175 - RealExamCollection
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Published on May 21, 2018

Author: mackenziemacy

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Slide1: Microsoft 70-535 Dumps PDF Cloudera CCA175 Dumps PDF CCA Spark and Hadoop Developer Exam - Performance Based Scenarios RealExamCollection.com Slide2: CCA Spark and Hadoop Developer Exam (CCA175 ) Description Number of Questions:  8–12 performance-based (hands-on) tasks on Cloudera Enterprise cluster. Time Limit:  120 minutes Passing Score:  70% Language :  English Price :  USD $295 RealExamCollection.com https://www.realexamcollection.com/cloudera/cca175-dumps.html Slide3: Exam Question Format Each CCA question requires you to solve a particular scenario. In some cases, a tool such as Impala or Hive may be used. In other cases, coding is required. In order to speed up development time of Spark questions, a template may be provided that contains a skeleton of the solution, asking the candidate to fill in the missing lines with functional code. This template will either be written in Scala or written in Python, but not necessarily both . You are not required to use the template and may solve the scenario using a language you prefer. Be aware, however, that coding every problem from scratch may take more time than is allocated for the exam. RealExamCollection.com https://www.realexamcollection.com/cloudera/cca175-dumps.html Slide4: Required Skills RealExamCollection.com The skills to transfer data between external systems and your cluster. This includes the following : Import data from a MySQL database into HDFS using Sqoop Export data to a MySQL database from HDFS using Sqoop Change the delimiter and file format of data during import using Sqoop Ingest real-time and near-real-time streaming data into HDFS Process streaming data as it is loaded onto the cluster Load data into and out of HDFS using the Hadoop File System commands https://www.realexamcollection.com/cloudera/cca175-dumps.html Slide5: Use metastore tables as an input source or an output sink for Spark applications Understand the fundamentals of querying datasets in Spark Filter data using Spark Write queries that calculate aggregate statistics Join disparate datasets using Spark Produce ranked or sorted data RealExamCollection.com Data Analysis https://www.realexamcollection.com/cloudera/cca175-dumps.html Slide6: Cloudera CCA175 Dumps PDF https://www.realexamcollection.com/cloudera/cca175-dumps.html

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