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The Microsoft 70-767J exam measures candidates' abilities to design, implement, and maintain a data warehouse using SQL Server technologies. It covers various topics such as data warehouse design, ETL (extract, transform, load) processes, data cleansing, data integration, and security. It is a challenging exam that requires a thorough understanding of these concepts and their practical applications.

Microsoft 070-767 (Implementing a SQL Data Warehouse) certification exam is designed to validate the expertise of individuals in implementing Data Warehouses using SQL technologies. 70-767J exam measures the candidate's knowledge and skills related to Designing, Implementing, and Maintaining a Data Warehouse. 70-767J exam covers topics like Extract, Transform, Load (ETL); Data Warehouse design and architecture; and Business Intelligence (BI) solutions.

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To prepare for the Microsoft 070-767 exam, candidates should have a solid understanding of data warehousing concepts and technologies. They should also have experience working with SQL Server, Azure SQL Data Warehouse, and Azure Data Factory. Microsoft offers various training courses and resources to help candidates prepare for the exam, including instructor-led courses, online training, and study guides.

Reference: https://www.microsoft.com/en-us/learning/exam-70-767.aspx

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Microsoft 70-767日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Build data quality solutions15–20%- Implement Master Data Services (MDS)
  • 1. Use MDS tools and web application
  • 2. Create and manage MDS models and entities
- Maintain data quality
  • 1. Implement data validation rules
  • 2. Monitor data consistency
- Implement Data Quality Services (DQS)
  • 1. Perform data cleansing and matching
  • 2. Build and manage DQS knowledge bases
Topic 2: Design, implement, and maintain a data warehouse35–40%- Design and implement indexes
  • 1. Implement clustered, nonclustered, and columnstore indexes
  • 2. Choose appropriate indexing strategies
- Design and implement dimension and fact tables
  • 1. Design shared and conformed dimensions
  • 2. Design and implement partitioned tables and views
  • 3. Implement slowly changing dimensions
- Implement data warehouse storage
  • 1. Configure filegroups and partitions
  • 2. Plan storage requirements
Topic 3: Extract, transform, and load data40–45%- Design and implement ETL control flow
  • 1. Use SSIS containers and tasks
  • 2. Implement error handling and logging
- Implement incremental data loads
  • 1. Detect changed data
  • 2. Use change data capture and temporal tables
- Design and implement ETL data flow
  • 1. Use SSIS data sources and destinations
  • 2. Apply transformations and lookups
- Deploy and configure SSIS solutions
  • 1. Configure SSIS catalog and environments
  • 2. Deploy SSIS projects and packages

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