High level topics covered by our practice test
This Web Simulator is for Microsoft DBA which are database professionals who perform Data Wherehouse study, maintenance, and configuration and performance tuning tasks when defining Data Wherehouse dimensions and fact tables. Students responsibilities include setting up Data Wherehouse systems, making sure those systems operate efficiently and fast, and regularly manage and Implement SSIS package.
Reference: https://www.microsoft.com/en-us/learning/exam-70-463.aspx
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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
- Design and implement a data flow for data transformation
- Design and implement Data Wherehouse dimensions and fact tables
- Troubleshoot data integration issues
- Troubleshoot data integration issues using SSIS
- Deploy con configure SSIS solutions
- Implement master data management solutions
- Manage and Implement SSIS package
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Microsoft 070-463日本語 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Extract, transform, and load data | - Manage incremental data loads - Develop ETL solutions using SSIS - Implement data cleansing and data flow transformations |
| Topic 2: Build and deploy multidimensional models | - Design and implement cubes using SSAS - Define measures, dimensions, and hierarchies - Implement OLAP storage and processing |
| Topic 3: Optimize and maintain a data warehouse | - Monitor and troubleshoot ETL processes - Performance tuning and query optimization - Implement security and access control |
| Topic 4: Build data warehouse infrastructure | - Implement SQL Server Agent jobs - Configure SQL Server Integration Services (SSIS) |
| Topic 5: Design and implement data warehouse | - Implement indexing and partitioning strategies - Design logical and physical data warehouse schema - Design fact and dimension tables |


