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Cloudera CCA175 Dumps - CCA Spark and Hadoop Developer Exam

November 20,2020
CCA175 CCA Spark and Hadoop Developer Exam is one of the well recognized Cloudera certification exams,If you want to take Cloudera CCA175 exam, Passcert offers the latest Cloudera CCA175 Dumps which cover the real CCA175 exam topics to ensure you pass Cloudera CCA175 exam successfully.We guarantee that using our Cloudera CCA175 Dumps will adequately prepare you for your CCA175 exam and set you up to pass your CCA175 CCA Spark and Hadoop Developer Exam in the First Time.
Cloudera CCA175 Dumps - CCA Spark and Hadoop Developer Exam

CCA175 Exam Overview - CCA Spark and Hadoop Developer Exam

CCA-175 is basically an CCA Spark and Hadoop Developer Certification. The main objective of this Certification is to help the Hadoop developers to establish a formidable command over the traditional Hadoop Development protocols with advanced tools and operational procedures. CCA175 CCA Spark and Hadoop Developer Exam validates the candidate's ability to employ various Big Data tools such as Hadoop, Spark, Hive, Impala, Sqoop, Flume, Kafka, etc to solve hands-on problems.
    

CCA Spark and Hadoop Developer Exam (CCA175) Information

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    
     

Required Skills

Transform, Stage, and Store

Convert a set of data values in a given format stored in HDFS into new data values or a new data format and write them into HDFS.
Load data from HDFS for use in Spark applications
Write the results back into HDFS using Spark
Read and write files in a variety of file formats
Perform standard extract, transform, load (ETL) processes on data using the Spark API

Data Analysis

Use Spark SQL to interact with the metastore programmatically in your applications. Generate reports by using queries against loaded data.
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

Configuration

This is a practical exam and the candidate should be familiar with all aspects of generating a result, not just writing code.
Supply command-line options to change your application configuration, such as increasing available memory
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