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Exam 70-767: Implementing a Data Warehouse using SQL

Important

This exam retired on January 31, 2021. For currently available options, please refer to the Browse Certifications and Exams page.

 
This exam is intended for extract, transform, and load (ETL) and data warehouse developers who create business intelligence (BI) solutions. Their responsibilities include data cleansing, in addition to ETL and data warehouse implementation.

Important

As of March 2017, this exam was updated. To learn more about these changes and how they affect the skills measured, please download and review the exam 70-767 change document.

Part of the requirements for: MCSA: SQL 2016 BI Development MCSE: Data Management and Analytics

Related exams: none

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  • 70-767: Implementing a Data Warehouse using SQL

    Languages: English

    Retirement date: **

    This exam is intended for extract, transform, and load (ETL) and data warehouse developers who create business intelligence (BI) solutions. Their responsibilities include data cleansing, in addition to ETL and data warehouse implementation.

    Price based on the country or region in which the exam is proctored.

    We strongly recommend that you register for an exam with a personal MSA account. If you register with an organizational (work/school) AAD account, your exam records will be lost if you leave your organization and they will be unrecoverable.
    for Implementing a Data Warehouse using SQL

    All objectives of the exam are covered in depth so you'll be ready for any question on the exam.

Skills measured

  • Design, implement, and maintain a data warehouse (35-40%)
  • Extract, transform, and load data (40-45%)
  • Build data quality solutions (15-20%)

Download exam skills outline

Two ways to prepare

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  • Learning paths or modules are not yet available for this certification

There may be certifications and prerequisites related to "Exam 70-767: Implementing a Data Warehouse using SQL"

  • MCSA: SQL 2016 BI Development

    This certification validates your extract, transform, and load (ETL) and data warehouse skills, along with those for implementing BI solutions using multidimensional and tabular data models and online analytical processing (OLAP) cubes.

  • MCSE: Data Management and Analytics

    Demonstrate your broad skill sets in SQL administration, building enterprise-scale data solutions, and leveraging business intelligence data - both on-premises and in cloud environments.

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** Complete this exam before the retirement date to ensure it is applied toward your certification. After the retirement date, please refer to the related certification for exam requirements.