Dataware for data-driven transformation

MapR Certified Spark Developer 2.1 (MCSD)

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About this Certification

The MapR Certified Spark v2.1 Developer credential proves that you have ability to use Spark to work with large datasets to perform analytics on streaming data. This credential measures your understanding of the Spark API to perform basic machine learning or SQL tasks on a given datasets.

You will answer 50-60 questions in a 2-hour proctored session.

Exam Topics

  • Work with Data Sources, Structures, and Schemas in Spark
  • Create Datasets and DataFrames and Apply Operations
  • Create and Work with Cached Datasets
  • Create and Use UDFs
  • Partition Datasets
  • Launch and Monitor Spark Applications
  • Work with SparkSession
  • Use of the Spark Streaming Architecture
  • Create and Manage DStreams and Apply Operations
  • Use Windowed Operations

Get Prepared

Get ready to take the exam by completing the following courses:

DEV 360 - Introduction to Apache Spark (Spark v2.1) DEV 361 - Build and Monitor Apache Spark Applications (Spark v2.1) DEV 362 - Advanced Apache Spark (Spark v2.1)

Study Guide

Details of what’s on the exam, exam logistics, including how to register for an exam day and time, specific exam objectives, sample questions, and additionally recommended study materials can be found in the MCSD v2 Study Guide

To learn more about this certification and register for the exam check out the MapR Certified Spark Developer v2 on MapR Academy.

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Taking MapR Certification Exam

MapR Exams are remotely proctored. You will take the exam at your desk with a proctor viewing your desktop and and your environment using your webcam. To view exam system requirements please the exam requirements in the free Study Guide.

Certification Policies

For Certification policies, details of the program, and common questions please see the Certification Policies page.