HDP Certified Spark Developer (HDPCSD2019) Exam
This HDPCSD2019 exam is based on HDP3.1 and Ambari 2.7
Our hands-on exams leverage virtual machines and require a high-speed internet connection. In order to ensure that you have the optimal experience, we do not recommend attempting the exams unless you meet the minimum connection requirements:
- Run a Speed Test to determine if you meet the recommended minimum requirements, 20/5 Mbps are highly recommended.
Hortonworks Certification Overview:
At Hortonworks University, the mission of our certification program is to create meaningful certifications that are recognized in the industry as a confident measure of qualified, capable big data experts. How do we accomplish that mission?
- Our certifications are exclusively hands-on, performance-based exams that require you to complete a set of tasks.
- By performing tasks on an actual Hadoop cluster instead of just guessing at multiple-choice questions, an HDP Certified Spark Developer has proven competency and big data expertise.
The HDP Certified Developer (HDPCSD2019) Spark exam is for Hadoop developers working with Spark Core and Spark SQL applications . The cost of the exam is $250 USD per attempt.
Purpose of the Exam:
This exam is designed for developers responsible for developing Spark Core and Spark SQL applications in Scala or Python.
The exam has two main categories of tasks that involve:
- Core Spark
- Spark SQL
- Spark Streaming
The exam has the following versions:
- HDP 3.1
- Spark 2
- Scala 2.10.5
- Python 2.7.6 (pyspark)
Please note that the exam desktop will contain the docs for Spark, Scala and Python for those versions. DATABRICKS is not installed on this image.
View the complete list of objectives on our website at: https://hortonworks.com/services/training/certification/exam-objectives/#hdpcdspark
The exam is delivered in English.
The Hortonworks Certified Developer Spark exam is approximately 2 hours.
Description of the Minimally Qualified Candidate:
The Minimally Qualified Candidate (MQC) for this certification can develop Hadoop applications for ingesting, transforming, and analyzing data stored in Hadoop using the open-source tools of the Hortonworks Data Platform, including Pig, Hive, Sqoop and Flume. Those certified are recognized as having high level of skill in Hadoop application development and have demonstrated that knowledge by performing the objectives of the HDPCD exam on a live HDP cluster.
Candidates for the HPDCD exam should be able to perform each of the objectives in the list on our website at: