Exam 70-463: Implementing a Data Warehouse with Microsoft SQL Server 2012/2014
This exam is primarily intended for ETL and data warehouse developers who create Business Intelligence (BI) solutions, and whose responsibilities include data cleansing, and Extract Transform Load and data warehouse implementation.
Part of the requirements for: MCSA: SQL Server 2012/2014
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70-463 - Implementing a Data Warehouse with Microsoft SQL Server 2012/2014
The 70-463 exam is part of the Administering Data Warehouse Microsoft SQL Server 2012/2014 Databases certification. This exam measures your ability to accomplish the below tasks based on this technology: Microsoft Data Wherehouse SQL Server 2012 and 2014, and please note that this exam does not include questions on features or capabilities that are present only in the SQL Server 2012 product.
The exam is intended for DBA and Data Warehouse professionals who perform installation, maintenance, and configuration tasks. During the exam the students must show abilities when setting up database systems, tuning the db, and regularly storing, backing up, and granting data access protecting them from unauthorized access. This is a list of covered topics:
- Design and implement a data flow for data transformation
- Implement master data management solutions
- Design and implement Data Wherehouse dimensions and fact tables
- Troubleshoot data integration issues
- Implement a data load script procedure using a control flow
- Deploy con configure SSIS solutions
- Troubleshoot data integration issues using SSIS
- Manage and Implement SSIS package
Reference: https://www.microsoft.com/en-us/learning/exam-70-463.aspx
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Microsoft 70-463日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design and Implement a Data Warehouse | 10–15% | - Design dimensions and fact tables - Implement a dimensional model |
| Topic 2: Configure and Deploy SSIS Solutions | 20–25% | - Deploy SSIS packages - Implement logging, auditing, and error handling |
| Topic 3: Load Data | 25–30% | - Use SSIS variables and parameters - Implement ETL logic |
| Topic 4: Build Data Quality Solutions | 15–20% | - Implement Master Data Services (MDS) - Implement Data Quality Services (DQS) |
| Topic 5: Extract, Transform, and Load Data | 20–25% | - Define connection managers - Design data flow and control flow |



