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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:
- Troubleshoot data integration issues using SSIS
- Design and implement a data flow for data transformation
- Design and implement Data Wherehouse dimensions and fact tables
- Manage and Implement SSIS package
- Implement master data management solutions
- Troubleshoot data integration issues
- Implement a data load script procedure using a control flow
- Deploy con configure SSIS solutions
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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Skills measured
- Load data (25–30%)
- Build data quality solutions (15–20%)
- Design and implement a data warehouse (10–15%)
- Configure and deploy SSIS solutions (20–25%)
- Extract and transform data (20–25%)
Reference: https://www.microsoft.com/en-us/learning/exam-70-463.aspx
Microsoft 070-463 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Build and deploy multidimensional models | - Design and implement cubes using SSAS - Define measures, dimensions, and hierarchies - Implement OLAP storage and processing |
| Topic 2: Extract, transform, and load data | - Manage incremental data loads - Develop ETL solutions using SSIS - Implement data cleansing and data flow transformations |
| Topic 3: Design and implement data warehouse | - Implement indexing and partitioning strategies - Design fact and dimension tables - Design logical and physical data warehouse schema |
| Topic 4: Optimize and maintain a data warehouse | - Performance tuning and query optimization - Implement security and access control - Monitor and troubleshoot ETL processes |
| Topic 5: Build data warehouse infrastructure | - Configure SQL Server Integration Services (SSIS) - Implement SQL Server Agent jobs |






