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This exam is intended for extract, transform, and load (ETL) and data warehouse developers who create business intelligence (BI) solutions. Their responsibilities include data cleansing, in addition to ETL and data warehouse implementation.
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Implementing a SQL Data Warehouse 70-767 Exam
Implementing a SQL Data Warehouse 70-767 Exam which is related to MCP and MCSA Certification. This exam validates the ability to design shared and conformed dimensions determine support requirements for slowly changing dimensions and identify dimension table relationships. It also deals with the ability to design and implement ETL control flow elements and create a data quality services DQS knowledgebase. IT Professionals, Data Warehouse Engineers, and Microsoft Administrators usually hold or pursue this certification and you can expect the same job role after completion of this certification.
Reference: https://www.microsoft.com/en-us/learning/exam-70-767.aspx
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Skills measured
- Extract, transform, and load data (40-45%)
- Build data quality solutions (15-20%)
- Design, implement, and maintain a data warehouse (35-40%)
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Microsoft 070-767 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Build data quality solutions | 15–20% | - Maintain data quality
- 1. Monitor data consistency
- 2. Implement data validation rules
- Implement Master Data Services (MDS)
- 1. Use MDS tools and web application
- 2. Create and manage MDS models and entities
- Implement Data Quality Services (DQS)
- 1. Perform data cleansing and matching
- 2. Build and manage DQS knowledge bases
|
| Extract, transform, and load data | 40–45% | - Implement incremental data loads
- 1. Detect changed data
- 2. Use change data capture and temporal tables
- Design and implement ETL control flow
- 1. Implement error handling and logging
- 2. Use SSIS containers and tasks
- Design and implement ETL data flow
- 1. Use SSIS data sources and destinations
- 2. Apply transformations and lookups
- Deploy and configure SSIS solutions
- 1. Deploy SSIS projects and packages
- 2. Configure SSIS catalog and environments
|
| Design, implement, and maintain a data warehouse | 35–40% | - Design and implement dimension and fact tables
- 1. Design shared and conformed dimensions
- 2. Implement slowly changing dimensions
- 3. Design and implement partitioned tables and views
- Design and implement indexes
- 1. Implement clustered, nonclustered, and columnstore indexes
- 2. Choose appropriate indexing strategies
- Implement data warehouse storage
- 1. Configure filegroups and partitions
- 2. Plan storage requirements
|