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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.
Reference: https://www.microsoft.com/en-us/learning/exam-70-463.aspx
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 Data Wherehouse dimensions and fact tables
- Design and implement a data flow for data transformation
- 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
- Troubleshoot data integration issues
- Implement master data management solutions
Microsoft 070-463 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Build data warehouse infrastructure | - Implement SQL Server Agent jobs - Configure SQL Server Integration Services (SSIS) |
| Optimize and maintain a data warehouse | - Monitor and troubleshoot ETL processes - Performance tuning and query optimization - Implement security and access control |
| Build and deploy multidimensional models | - Implement OLAP storage and processing - Define measures, dimensions, and hierarchies - Design and implement cubes using SSAS |
| Extract, transform, and load data | - Implement data cleansing and data flow transformations - Manage incremental data loads - Develop ETL solutions using SSIS |
| Design and implement data warehouse | - Implement indexing and partitioning strategies - Design fact and dimension tables - Design logical and physical data warehouse schema |






