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