Microsoft 070-767日本語 dumps - in .pdf

070-767日本語 pdf
  • Exam Code: 070-767日本語
  • Exam Name: Implementing a SQL Data Warehouse (070-767日本語版)
  • Updated: Jul 28, 2026
  • Q & A: 170 Questions and Answers
  • PDF Price: $69.99
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  • Exam Code: 070-767日本語
  • Exam Name: Implementing a SQL Data Warehouse (070-767日本語版)
  • Updated: Jul 28, 2026
  • Q & A: 170 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $139.98  $89.99
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Microsoft 070-767日本語 dumps - Testing Engine

070-767日本語 Testing Engine
  • Exam Code: 070-767日本語
  • Exam Name: Implementing a SQL Data Warehouse (070-767日本語版)
  • Updated: Jul 28, 2026
  • Q & A: 170 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

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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

Download exam skills outline

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Microsoft 070-767日本語 Exam Syllabus Topics:

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

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