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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
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
Skills measured
- Configure and deploy SSIS solutions (20–25%)
- Design and implement a data warehouse (10–15%)
- Build data quality solutions (15–20%)
- Extract and transform data (20–25%)
- Load data (25–30%)
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High level topics covered by our practice test
This Web Simulator is for Microsoft DBA which are database professionals who perform Data Wherehouse study, maintenance, and configuration and performance tuning tasks when defining Data Wherehouse dimensions and fact tables. Students responsibilities include setting up Data Wherehouse systems, making sure those systems operate efficiently and fast, and regularly manage and Implement SSIS package.
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Microsoft 70-463 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configure and deploy SSIS solutions | 20-25% | - Implement logging and debugging - Configure SSIS packages and parameters - Secure and manage SSIS environments - Deploy SSIS projects and packages |
| Topic 2: Design and implement a data warehouse | 10-15% | - Design and implement indexes and partitions - Design dimensions and fact tables - Implement star and snowflake schemas - Design for scalability and performance |
| Topic 3: Build data quality solutions | 15-20% | - Match and deduplicate data - Implement Data Quality Services (DQS) - Integrate DQS with SSIS - Clean and standardize data |
| Topic 4: Load data | 25-30% | - Use bulk load operations - Implement transactions and checkpoints - Design and implement control flow - Manage incremental loads |
| Topic 5: Extract and transform data | 20-25% | - Apply transformations and aggregations - Handle data types and errors - Design and implement data flows - Implement lookups and fuzzy grouping |
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