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
- Troubleshoot data integration issues
- Manage and Implement SSIS package
- Deploy con configure SSIS solutions
- Troubleshoot data integration issues using SSIS
- Implement master data management solutions
- Implement a data load script procedure using a control flow
- Design and implement a data flow for data transformation
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Our 70-463 exam dumps will include those topics:
- Load data (25-30%)
- Extract and transform data (20-25%)
- Build data quality solutions (15-20%)
- Configure and deploy SSIS solutions (20-25%)
- Design and implement a data warehouse (10-15%)
For more info visit: Microsoft Official 70-463 Exam Reference
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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
Reference: https://www.microsoft.com/en-us/learning/exam-70-463.aspx
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Microsoft 070-463 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Extract, Transform, and Load Data | 20–25% | - Design data flow and control flow - Define connection managers |
| Design and Implement a Data Warehouse | 10–15% | - Implement a dimensional model - Design dimensions and fact tables |
| Build Data Quality Solutions | 15–20% | - Implement Data Quality Services (DQS) - Implement Master Data Services (MDS) |
| Load Data | 25–30% | - Implement ETL logic - Use SSIS variables and parameters |
| Configure and Deploy SSIS Solutions | 20–25% | - Implement logging, auditing, and error handling - Deploy SSIS packages |







