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Our 70-463 exam dumps will include those topics:
- Configure and deploy SSIS solutions (20-25%)
- Build data quality solutions (15-20%)
- Load data (25-30%)
- Extract and transform data (20-25%)
- Design and implement a data warehouse (10-15%)
For more info visit: Microsoft Official 70-463 Exam Reference
Reference: https://www.microsoft.com/en-us/learning/exam-70-463.aspx
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:
- Implement a data load script procedure using a control flow
- Troubleshoot data integration issues using SSIS
- Design and implement Data Wherehouse dimensions and fact tables
- Implement master data management solutions
- Troubleshoot data integration issues
- Deploy con configure SSIS solutions
- Manage and Implement SSIS package
- Design and implement a data flow for data transformation
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Microsoft 070-463日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Build data quality solutions | 15-20% | - Integrate DQS with SSIS - Implement Data Quality Services (DQS) - Clean and standardize data - Match and deduplicate data |
| Topic 2: Configure and deploy SSIS solutions | 20-25% | - Deploy SSIS projects and packages - Secure and manage SSIS environments - Configure SSIS packages and parameters - Implement logging and debugging |
| Topic 3: Load data | 25-30% | - Use bulk load operations - Design and implement control flow - Manage incremental loads - Implement transactions and checkpoints |
| Topic 4: Extract and transform data | 20-25% | - Handle data types and errors - Design and implement data flows - Implement lookups and fuzzy grouping - Apply transformations and aggregations |
| Topic 5: Design and implement a data warehouse | 10-15% | - Design dimensions and fact tables - Design and implement indexes and partitions - Design for scalability and performance - Implement star and snowflake schemas |








