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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.
Part of the requirements for: MCSA: 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:
Reference: https://www.microsoft.com/en-us/learning/exam-70-463.aspx
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configure and deploy SSIS solutions | 20-25% | - Implement logging and debugging - Secure and manage SSIS environments - Configure SSIS packages and parameters - Deploy SSIS projects and packages |
| Topic 2: Load data | 25-30% | - Manage incremental loads - Implement transactions and checkpoints - Design and implement control flow - Use bulk load operations |
| Topic 3: Build data quality solutions | 15-20% | - Clean and standardize data - Match and deduplicate data - Integrate DQS with SSIS - Implement Data Quality Services (DQS) |
| Topic 4: Design and implement a data warehouse | 10-15% | - Design for scalability and performance - Implement star and snowflake schemas - Design and implement indexes and partitions - Design dimensions and fact tables |
| Topic 5: Extract and transform data | 20-25% | - Implement lookups and fuzzy grouping - Handle data types and errors - Design and implement data flows - Apply transformations and aggregations |
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