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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
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Skills measured
- Build data quality solutions (15–20%)
- Load data (25–30%)
- Extract and transform data (20–25%)
- Design and implement a data warehouse (10–15%)
- Configure and deploy SSIS solutions (20–25%)
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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:
- Manage and Implement SSIS package
- Implement a data load script procedure using a control flow
- Implement master data management solutions
- Deploy con configure SSIS solutions
- Design and implement Data Wherehouse dimensions and fact tables
- Design and implement a data flow for data transformation
- Troubleshoot data integration issues
- Troubleshoot data integration issues using SSIS
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Microsoft 70-463 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Optimize and maintain a data warehouse | - Performance tuning and query optimization - Implement security and access control - Monitor and troubleshoot ETL processes |
| Topic 2: Extract, transform, and load data | - Implement data cleansing and data flow transformations - Develop ETL solutions using SSIS - Manage incremental data loads |
| Topic 3: Build data warehouse infrastructure | - Implement SQL Server Agent jobs - Configure SQL Server Integration Services (SSIS) |
| Topic 4: Build and deploy multidimensional models | - Implement OLAP storage and processing - Design and implement cubes using SSAS - Define measures, dimensions, and hierarchies |
| Topic 5: Design and implement data warehouse | - Design logical and physical data warehouse schema - Design fact and dimension tables - Implement indexing and partitioning strategies |
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