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Microsoft 070-767 (Implementing a SQL Data Warehouse) certification exam is designed to test the knowledge, skills, and abilities of IT professionals who work with SQL Server technologies. 70-767J exam assesses the ability of candidates to design, implement, and maintain a data warehouse solution using Microsoft SQL Server. 70-767J exam is based on the latest version of SQL Server, and includes topics such as data warehousing, ETL processes, dimensional modeling, and data analysis.
Reference: https://www.microsoft.com/en-us/learning/exam-70-767.aspx
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Microsoft 070-767 exam is intended for IT professionals and developers who work with SQL data warehousing. This includes database administrators, data analysts, data scientists, and ETL developers. Candidates should have a strong understanding of SQL Server and be familiar with tools such as SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS).
Microsoft 70-767日本語 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Implementing a SQL Data Warehouse |
| Exam Number: | 70-767 |
| Exam Format: | Scenario-based questions, Multiple choice |
| Related Certifications: | 70-768 Developing SQL Data Models MCSA: SQL 2016 BI Development |
| Sample Questions: | Microsoft 70-767日本語 Sample Questions |
| Exam Way: | Onsite at authorized Pearson VUE testing centers |
| Pre Condition: | Recommended experience with SQL Server, ETL, data warehousing, SSIS, DQS, MDS |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/learn/certifications/exams/70-767 |
Microsoft 70-767日本語 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Extract, transform, and load data | - Implement incremental data extraction and loading - Debug and deploy SSIS packages - Design and implement ETL data flow using SSIS - Design and implement ETL control flow using SSIS |
| Topic 2: Design, implement, and maintain a data warehouse | - Design and implement dimension tables - Design and implement partitioned tables and views - Design and implement fact tables - Design indexing and storage for a data warehouse |
| Topic 3: Build data quality solutions | - Create and maintain a Data Quality Services (DQS) knowledge base - Implement Master Data Services (MDS) model - Manage data using MDS tools |
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