StreamSets Green Belt Exam


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StreamSets Green Belt Exam

Did you know a Learning Path has been provided for you?  If you want guidance on what to learn and study, register for the Certification Learning Path and complete the relevant sections before attempting this exam.

This exam measures your ability to transform business requirements into a working technical solution which you will present to an expert panel for evaluation.

Note: you must earn your White Belt and Yellow Belt before attempting the Green Belt Certification

Here is what to expect:

  • Once you sign up for the exam, you will be contacted and provided with an overview of the certification process
  • You will receive a use case scenario in which you will develop a working technical solution
  • On a scheduled day and time, you will present your solution to StreamSets experts.
  • You will be graded according to the rubric shown below


Exam Environment

  • Each exam-taker will use their own StreamSets DataOps Platform environment.  Free trial environments can be accessed from 
  • Each exam-taker will be assigned a StreamSets Academy (Strigo) environment as well. Be sure that your computer/laptop can connect to Strigo. You can test network connectivity here.
  • The combination of both environments will be used to deploy and build the solution used in the presentation to the panel.

Scoring & Certificate

Five (5) points must be earned for the presentation to pass the Green Belt exam. Presentations will be graded within 3 business days and the final score and report will be emailed to the candidate. The report will include the point averages for each of the criteria and any comments related to the panel’s scoring. A passing score of at least 5 points will also generate a sharable, verifiable “StreamSets Green Belt” certificate.


Exam candidates should be able to perform tasks in the StreamSets DataOps Platform as they relate to solving the business scenario challenge:

  • Setting up an environment and deployment 
  • Building pipelines including the following elements:
    • JDBC
    • Kafka
    • CDC
  • Using intermediate and advanced techniques such as:
    • Parameters
    • Processors and 
    • Fragments 
    • Topologies
    • Expression Language
    • Alerts and subscriptions
    • Data drift rules
    • Installing external libraries and drivers
  • Developing batch and streaming pipelines
  • Configure single and multi-origin pipelines
  • Develop microservice pipelines
  • Develop orchestration pipelines
  • Develop SDC RPC pipelines
  • Configure pipeline executors
  • Ability to develop SDC pipelines that use one of the following:
    • JavaScript Evaluator
    • Jython Evaluator
    • or Groovy Evaluator
  • Running and scheduling jobs