StreamSets Certified Developer Exam

$200.00

Specs

SKU: EDU-CERTIFIED-DEVELOPER Category:

Description

StreamSets Certified Developer Exam

This exam measures hands-on proficiency of core features of StreamSets Control Hub (SCH), StreamSets Data Collector (SDC) and Transformer. The exam focuses on core tasks that developers and engineers would normally complete in a StreamSets environment.

Format

  • 5-8 performance-based (hands-on) tasks in a StreamSets platform environment.
  • Exam duration: 120 minutes
  • Passing score: 70%
  • Proctored exam by ProctorU. A separate invite will be sent by ProctorU to schedule your exam.
  • Browser ProctorU plugin installation required
  • Compatible with Chrome or Firefox

Scoring & Certificate

Exams are graded within 2 business days and final score and report will be emailed. The report will include the number of questions or tasks marked correct and incorrect. A passing score will also generate a sharable, verifiable “StreamSets Certified Developer” badge.

Additional reporting details will not be provided.

Objectives

The exam candidate should be comfortable and understand the content across the Data Collector (SDC) and Transformer courses. Additionally,

Required Skills

Pipeline Development

  • Using Control Hub to develop SDC and Transformer pipelines
  • Developing pipeline fragments
  • 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

StreamSets Expression Language (EL)

  • Use EL across origins, processors, executors, and destinations
  • Apply conditional EL in pipelines
  • Reference field names, constants, variables, and literals using EL

Transformer & Apache Spark

  • Tune Transformer pipelines by adjusting driver or executor memory or cores
  • Submit transformer pipelines to a Spark cluster

Pipeline Management

  • Use the SCH pipeline versioning and export features
  • Create SCH jobs and schedule jobs
  • Create topologies
  • Deploy pipelines to labeled SDCs and Transformers

Alerts and Monitoring

  • Create drift rules in pipelines
  • Create pipeline alerts for error records and events

Exam Environment

  • Each exam taker receives their own StreamSets platform environment and a browser based Windows Desktop to connect to the platform.
  • The environment runs on Strigo. Be sure that your computer/laptop can connect to Strigo. You can test network connectivity here.
  • The platform currently runs on Data Collector 3.22.1 and Transformer 3.18.0