HDPSCD2019 : Scala : Hortonworks HDP Certified Spark Developer in Scala

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HDPSCD 2.x (HDP-3.x) Spark Scala : Hortonworks Spark Certified Developer in Scala Apache Spark 2.X and Scala 2.11 - Hands On Certification Exam Prepration

89+ Assessment Questions for Hands On section

In HDPCD 2.x on HDP-3.x (Hortonworks Certified Spark 2.x) not only syllabus changed, but also they have updated the Spark Version from 1.6 to Spark 2.x. Hortonworks giving problem statements and you need to solve those problems. Its not about how you solve a particular given problem, but whether you are able to reach the final answer for the given questions. To solve the problem you can use Spark SQL , Core Spark RDD API or Spark SQL DataFrame API, its all upto you. There are mainly 3 sections for which you would be asked the questions and you need to solve these problems on the Hortonworks Sandbox. To preparate for this certification HadoopExam as of now providing 89 problem and solutions, we may add few more in future (so before appearing in the exam, please drop an email, so we can provide the update, if there are any). This preparation material is not only help you to clear the certification exam, but also make you the expert in the Apache Spark, each problem and solution has various aspects of covering the Apache Spark programming using Scala. If you really or seriously complete all these Hands On Questions and answwer, you will certainly become the Spark expert. We have interview questions and trainings as well to make you complete professional for Apache Spark, so we recommend you subscribe any package from our Premium and Pro subscription as well.

Once you clear HDPCD (Spark using Scala) certification you would be having qualification where using Hadoop, Spark you can ingest, transform, and Analyze the data on the Hortonworks Data Platform and considered having high level of skills. It not only proves that you are on Hortonworks platform, but also good on the Spark framework using Scala. As you have solved almost real time scenarios to use the Spark and Hadoop framework. This is not an independent exam of Spark, rather you are using some of the HDFS commands as well during the exam and same have been provided in HadoopExam Questions and Answer. This certification has good credit in the BigData, Data Science, Machine Learning and Data Analytics industry. There are still lack of resources in the industry who knows Spark in depth. Go for this certification and become one of such critical resource for the industry.

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Syllabus

Core Spark

Write a Spark Core application in Python or Scala
Initialize a Spark application
Run a Spark job on YARN
Create an RDD
Create an RDD from a file or directory in HDFS
Persist an RDD in memory or on disk
Perform Spark transformations on an RDD such as filtering and aggregations
Perform Spark actions on an RDD
Create and use broadcast variables and accumulators
Configure Spark properties
Ingest data using SparkSession
Sort results and write out to HDFS or other supported destinations

Spark SQL

Create Spark DataFrames from an existing RDD
Perform operations on a DataFrame
Write a Spark SQL application Use Hive with ORC from Spark SQL
Write a Spark SQL application that reads and writes data from Hive tables
Invoke SQL API or SparkSession SQL functionality to select and produce results
Using join capabilities produce analytic results
Rename DataFrame/Dataset columns to produce best results

Spark Streaming

Use Spark structured streaming to ingest data in real time
Invoke streaming transformations and aggregations to produce analytic results
Invoke spark-submit utility on existing Spark application using proper arguments

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