SnowPro® Advanced Data Engineer Recertification

Duration: Hours



    Training Mode: Online


    The SnowPro Advanced: Data Engineer Recertification exam is available for candidates with an expiring SnowPro Advanced: Data Engineer Certification.


    The SnowPro® Advanced: Data Engineer Recertification Exam is available for candidates with an expiring SnowPro Advanced: Data Engineer Certification.

    By passing the SnowPro Advanced: Data Engineer Recertification, a candidate’s SnowPro Core Certification + SnowPro Advanced: Data Engineer status will extend an additional 2 years from the date of passing the recertification exam.

    Candidates must hold a valid SnowPro Advanced: Data Engineer Certification at the time they take the recertification exam to be eligible.


    Exam Version: DEA-R01
    Total Number of Questions: 40
    Question Types: Multiple Select, Multiple Choice
    Time Limit: 85 minutes
    Language: English
    Registration fee: $188 USD
    Passing Score: 750 + Scaled Scoring from 0 – 1000
    Unscored Content: Exams may include unscored items to gather statistical information for future use. These items are not identified on the form and do not impact your score, and additional time is factored into account for this content.
    Prerequisites: SnowPro Core Certified & SnowPro Advanced: Data Engineer Certified
    Delivery Options:

    1. Online Proctoring
    2. Onsite Testing Centers




    This exam guide includes test domains, weightings, and objectives. It is not a comprehensive listing of all the content that will be presented on this examination. The table below lists the main content domains and their weightings.

    DomainDomain Weightings on Exams
    1.0 Data Movement25-30%
    2.0 Performance Optimization20-25%
    3.0 Storage and Data Protection10-15%
    4.0 Security10-15%
    5.0 Data Transformation25-30%


    Outlined below are the Domains & Objectives measured on the exam. To view subtopics, download the exam study guide.

    1.0 Domain: Data Movement

    1.1 Given a data set, load data into Snowflake.
    1.2 Ingest data of various formats through the mechanics of Snowflake.
    1.3 Troubleshoot data ingestion.
    1.4 Design, build, and troubleshoot continuous data pipelines.
    1.5 Analyze and differentiate types of data pipelines.
    1.6 Install, configure, and use connectors to connect to Snowflake.
    1.7 Design and build data sharing solutions.
    1.8 Outline when to use external tables and define how they work.

    2.0 Domain: Performance Optimization

    2.1 Troubleshoot underperforming queries.
    2.2 Given a scenario, configure a solution for the best performance.
    2.3 Outline and use caching features.
    2.4 Monitor continuous data pipelines.

    3.0 Domain: Storage and Data Protection

    3.1 Implement data recovery features in Snowflake.
    3.2 Outline the impact of streams on Time Travel.
    3.3 Use system functions to analyze micro-partitions.
    3.4 Use Time Travel and cloning to create new development environments.

    4.0 Domain: Security

    1. 4.1 Outline Snowflake security principles.
      4.2 Outline the system defined roles and when they should be applied.
      4.3 Manage data governance.
    2. 5.0 Domain: Data Transformation
    3. 5.1 Define User-Defined Functions (UDFs) and outline how to use them.
      5.2 Define and create external functions.
      5.3 Design, build, and leverage stored procedures.
      5.4 Handle and transform semi-structured data.
      5.5 Use Snowpark for data transformation.


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