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