CDP Data Developer Exam Guide CDP-3001


The exam tests the skills and knowledge required by Data Developers to use the Cloudera Data Platform to design, build and maintain data applications and pipelines.

Exam Details

  • Exam Number: CDP-3001
  • Number of questions: 79
  • Duration: 90 minutes
  • Pass Score: unpublished
    • We do not publish exam pass scores. Candidates should not be trying to achieve any particular score. Rather they should be aiming for the highest score possible.
  • Delivery: online, proctored
    • Please review the system requirements to enable online, proctored testing through QuestionMark
  • Allowed resources: none. 
    • You may not use reference materials, white papers, user guides or any other resources during your exam.
  • Support: if you need help, please email us

Cloudera Skills & Knowledge Measured

This exam measures the skills and knowledge topics listed in Table 1. below. The weighting of each topic is also listed.

Topic WEIGHT (% of exam)

Connect and move data between systems


Build and manage a data warehouse


Build, schedule, execute, and monitor data pipelines


Clean and serve data to the end-users

Perform data quality checks 11%
Debug data issues reported by end-users 6%
Data backup and disaster recovery 11%

Table 1: Exam topics and weighting

Other Skills & Knowledge

Although, not directly tested on this exam, it is assumed that the candidate also possess the prerequisite skills and knowledge listed below that may help answer exam questions:

  • Git

  • Jenkins

Related Training

Although optional, the Cloudera Educational Services courses listed below cover some of the same topics as listed in the table above. Real world, hands-on experience is highly recommended whether you participate in training or not.

  • Cloudera OnDemand Training Library

  • Cloudera Data Platform: Designing Edge to AI Applications on Hybrid Data Cloud

  • Cloudera DataFlow: Flow Management with Apache NiFi

  • Cloudera Data Engineering: Developing Applications with Apache Spark

  • Spark Application Performance Tuning Workshop

  • Data Analyst Training

  • Data Scientist Training

  • Introduction to Cloudera Machine Learning

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