MapR Certified Spark Developer 1.6 (MCSD)
The MapR Certified Spark Developer credential proves that you have ability to use Spark to work with large datasets to perform analytics on a 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.
- 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 ready to take the exam by completing the following courses:
- DEV 360 - Introduction to Apache Spark
- DEV 361 - Build and Monitor Apache Spark Applicatins
- DEV 362 - Create Data Pipelines Using Apache Spark
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 Study Guide.
To learn more about this certification and register for the exam check out the MapR Certified Spark Developer on MapR Academy.
Taking a 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.
For Certification policies, details of the program, and common questions please see the Certification FAQ.