Microsoft 070-463 exam covers a wide range of topics related to data warehousing, including designing and implementing a data warehouse infrastructure, implementing data flow, managing control flow, and troubleshooting data integration. Candidates are also tested on their knowledge of data warehouse architecture, data modeling, and data cleansing techniques. 070-463 exam also covers topics such as managing data quality, designing and implementing ETL solutions, and managing and maintaining a data warehouse.
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Passing the Microsoft 070-463 exam demonstrates a candidate's ability to build and manage data warehousing solutions using SQL Server. It proves that an individual is capable of designing and implementing the necessary components required to identify and transform raw complex data into insightful business intelligence reports, on-demand analysis and real-time data for decision making. Implementing a Data Warehouse with Microsoft SQL Server 2012/2014 certification provides IT professionals with better chances of landing a job in reputable organisations, whereby credibility, experience, and higher salary earners are of utmost importance.
Reference: https://www.microsoft.com/en-us/learning/exam-70-463.aspx
Microsoft 070-463 exam is a certification test designed to assess an individual’s proficiency in implementing and maintaining a data warehouse with Microsoft SQL Server. 070-463 exam is specifically designed for IT professionals and database administrators who are passionate about augmenting their skills and expanding their proficiency in the field of data warehousing.
Earning the MCSE: Data Platform certification can be beneficial for professionals who want to demonstrate their expertise in implementing data solutions with SQL Server. It can also help them advance their careers and increase their earning potential. Additionally, passing the 070-463 exam can be an important step towards earning other SQL Server-related certifications, such as the MCSE: Business Intelligence certification.
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Microsoft 070-463 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Load Data | 25–30% | - Implement ETL logic - Use SSIS variables and parameters |
| Topic 2: Configure and Deploy SSIS Solutions | 20–25% | - Implement logging, auditing, and error handling - Deploy SSIS packages |
| Topic 3: Build Data Quality Solutions | 15–20% | - Implement Master Data Services (MDS) - Implement Data Quality Services (DQS) |
| Topic 4: Extract, Transform, and Load Data | 20–25% | - Design data flow and control flow - Define connection managers |
| Topic 5: Design and Implement a Data Warehouse | 10–15% | - Design dimensions and fact tables - Implement a dimensional model |







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