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    CDP Data Developer Exam Guide CDP-3001

    Audience

    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: 70
    • Duration: 90 minutes
    • Pass Score: 55%
      • We do not publish exam pass scores.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

    • Use Apache Airflow to connect and download using Rest APIs
    • Use NIFI to ingest data from various systems
    • Use NIFI to send and fetch data between HDFS and S3
    • Use Apache Spark and Nifi to load data into Apache Kudu
    		 20%

    Build and manage a data warehouse

    • Use Impala to define tables and views
    • Use HDFS to store data
    • Use HIVE DDL to work with partitioned tables
    • Persist data mart from views into materialized views
    		 14%

    Build, schedule, execute, and monitor data pipelines

    • Use Apache Airflow to schedule ETL pipelines
    • Use Apache Spark for Extract, load and transform data
    • Use Apache Nifi to schedule data pipelines and transform data with processors.
    		 19%

    Clean and serve data to the end-users

    • Use Spark to read, convert and combine files
    • Create joins and cleanse data with Spark
    • Work with badly formatted dates with Spark
    • Use Impala to provide custom data marts
    • Work with Kudu and Parquet storage formats

     

    		 29%

    Perform data quality checks

    • Use Spark to detect anomalies in data
    • Use Impala for performing data quality checks
    • Check file conditions with Hadoop shell commands
    • Use Hive DDL to create partitioned tables
    • Use Apache Airflow to schedule quality checks
    		 11%

    Debug data issues reported by end-users

    • Use Impala and Spark to find data discrepancies
    • Cross check raw data and processed data
    		 3%

    Data backup and disaster recovery

    • Use NiFi registry to create backups
    • Backup using Cloudera Data Engineering
    		 4%

    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

    Suggested 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.

    • CDP Admin Private Cloud Base
    • Cloudera DataFlow: Flow Management with Apache NiFi
    • Cloudera Data Engineering: Developing Applications with Apache Spark
    • Cloudera Data Platform: Designing Edge to AI Applications on Hybrid Data Cloud

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