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Databricks Certified Developer Apache Spark 2.x for Python (Cert No : PR000005)  : PySpark
  • 120 + Questions  and Answers for real exam
  • Simulator has around 65% programming questions
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         Since last 3 years in the BigData world, one of the fastest growing technology is Spark for sure. Every BigData solution provider has to adopt Spark technology on their platform whether its Cloudera, Hortonworks, MapR, IBM etc. All these companies knows the power of Spark and the way Spark had changed the BigData, Analytics and Data Science industry. At the same time Spark itself had changed a lot to make itself gold standard BigData technology and one big driver behind that is Databricks. Now Databricks its own launched a certification exam and they are conducting this exam on Spark 2.x (PySpark for Python) platform. This certification exam focus 7 main topics of Spark 2 platform, which are listed below. It seems there are only 7 topics to prepare for this certification exam, yes on macro level its true. But as you dive into each individual topic, you will find more granular things which can be asked in the certification exam. We also get to know that in certification exam more focus will be on coding section. Hence, 80% coding and 20% fundamental concepts of Spark 2 required. There are some core fundamentals which had not changed between Spark 1 and Spark 2. Hence, lot of questions will be based on those fundamentals as well. Hence, to prepare yourself for Spark 2.x (Python) certification HadoopExam brings 120+ questions with more focus on coding but also at the same time cover good fundamentals concepts as well. By completing this 120 questions, you will not only prepare yourself for the Databricks PySpark certification but making yourself master of Spark 2.0 framework as well. So now without waiting further subscribe for Spark 2.x Python certification simulator. This certification is going to be in limelight for 2018-2019. This certification is very useful for Developer, Data Analyst, Data Scientists and BigData tester. As many of developer already the the Python and Python has much richer library for Data analytics, which helps data scientists to use PySpark with their existing knwoledge and tools.

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Databricks Certified Developer Apache Spark 2.x for Python (Cert No : PR000005)  

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Benefits/Features

Simulator Benefits Exam Syllabus
  • 2 Full length mock exams (120+ Questions)
  • Objective based Practice Tests
  • Exhaustive explanation with all required question
  • 100% Syllabus covered: All exam objectives
  • Gain confidence and reduce study time
  • Learn to manage your exam time effectively
  • Confirm that you are improving with every simulation
  • Learn to apply effective "test taking strategies"
  • Created by Hadoop and Spark Developer certifed professional
  • Detailed explanations for all required answers
  • Retake all exams as many times as you like
  • Based on the most current Databricks Spark 2.x PySpark Certification  Guide
Below are some sample topics, which are being asked. This list is not enough there is much more in HadoopExam simulator.
  1. Spark Basics : RDD, Core Spark etc
  2. Spark Streaming : Processing real-time data
  3. Spark Architecture : How entire Spark is build, various optimization engine
  4. Spark ML : Machine Learning Concepts
            • Classificatioin
            • Clustering
            • Dimensionality Reduction
            • Collaborative filtering
            • Supervised/Un-Supervised etc
  5. Spark Performance and Debugging : Optimizing Spark execution engine with various parameters
  6. Spark SQL :  Working with structred data like
    • DataFrame
    • Dataset
  7. GraphFrames: Creating,finding subgraph, finding patterns, motif expression and much more
    • Graph algorithm use case like
    • Breadth-first search (BFS)
    • Connected components
    • Strongly connected components
    • Label Propagation Algorithm (LPA)
    • PageRank
    • Shortest paths
    • Triangle count

Note : This product is tested only on Windows Operating System

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