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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
- Troubleshoot data integration issues
- Manage and Implement SSIS package
- Implement master data management solutions
- Implement a data load script procedure using a control flow
- Design and implement Data Wherehouse dimensions and fact tables
- Deploy con configure SSIS solutions
Reference: https://www.microsoft.com/en-us/learning/exam-70-463.aspx
Skills measured
- Build data quality solutions (15–20%)
- Design and implement a data warehouse (10–15%)
- Configure and deploy SSIS solutions (20–25%)
- Load data (25–30%)
- Extract and transform data (20–25%)
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Microsoft 070-463 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Configure and deploy SSIS solutions | 20-25% | - Deploy SSIS projects and packages - Secure and manage SSIS environments - Configure SSIS packages and parameters - Implement logging and debugging |
| Design and implement a data warehouse | 10-15% | - Design for scalability and performance - Implement star and snowflake schemas - Design dimensions and fact tables - Design and implement indexes and partitions |
| Load data | 25-30% | - Manage incremental loads - Implement transactions and checkpoints - Use bulk load operations - Design and implement control flow |
| Build data quality solutions | 15-20% | - Match and deduplicate data - Integrate DQS with SSIS - Clean and standardize data - Implement Data Quality Services (DQS) |
| Extract and transform data | 20-25% | - Implement lookups and fuzzy grouping - Handle data types and errors - Apply transformations and aggregations - Design and implement data flows |
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