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Skills measured
- Build data quality solutions (15–20%)
- Configure and deploy SSIS solutions (20–25%)
- Load data (25–30%)
- Extract and transform data (20–25%)
- Design and implement a data warehouse (10–15%)
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
- Implement a data load script procedure using a control flow
- Manage and Implement SSIS package
- Implement master data management solutions
- Deploy con configure SSIS solutions
- Design and implement Data Wherehouse dimensions and fact tables
- Troubleshoot data integration issues
- Design and implement a data flow for data transformation
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
Microsoft 070-463 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Extract and transform data | 20-25% | - Design and implement data flows - Handle data types and errors - Implement lookups and fuzzy grouping - Apply transformations and aggregations |
| Topic 2: 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 |
| Topic 3: Load data | 25-30% | - Manage incremental loads - Implement transactions and checkpoints - Use bulk load operations - Design and implement control flow |
| Topic 4: Build data quality solutions | 15-20% | - Integrate DQS with SSIS - Implement Data Quality Services (DQS) - Match and deduplicate data - Clean and standardize data |
| Topic 5: Design and implement a data warehouse | 10-15% | - Design for scalability and performance - Implement star and snowflake schemas - Design and implement indexes and partitions - Design dimensions and fact tables |






