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Microsoft 70-767 Exam Reference

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Languages: English

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.

Reference: https://www.microsoft.com/en-us/learning/exam-70-767.aspx

Exam 70-767: Implementing a Data Warehouse using SQL

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.

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

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

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Microsoft 070-767日本語 Exam Syllabus Topics:

SectionObjectives
Securing and Maintaining Data Warehouse Solutions- Manage encryption and data protection
- Implement authentication and authorization
- Maintain backup and recovery strategies
Designing Data Warehouse Solutions- Design data warehouse schema (star/snowflake)
- Design data storage and partitioning strategy
- Design data distribution strategy in SQL Server / Azure SQL DW
Building and Implementing a Data Warehouse- Implement ETL processes using SSIS
- Create and configure tables and indexes
- Load and transform data from multiple sources
Optimizing and Troubleshooting Data Warehouse- Manage workload performance in SQL data warehouse
- Monitor and troubleshoot ETL processes
- Optimize query performance (indexes, distribution, partitioning)
Data Transformation and Data Flow- Implement data cleansing and transformation logic
- Implement data flow tasks in SSIS
- Manage slowly changing dimensions (SCD)

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