The Microsoft 070-463J exam covers a wide range of topics, including data warehousing concepts, ETL (Extract, Transform, Load) process, data quality and cleansing, data integration, and data warehouse architecture. Candidates are required to have a solid understanding of the SQL Server platform, including T-SQL, SSIS (SQL Server Integration Services), and SSAS (SQL Server Analysis Services).
Microsoft 070-463 certification exam is designed for professionals who want to demonstrate their skills in implementing a data warehouse with Microsoft SQL Server 2012/2014. 070-463J exam is one of the most in-demand certification exams in the IT industry, as it validates the ability of a professional to design, implement, and maintain a data warehouse solution using Microsoft SQL Server.
Reference: https://www.microsoft.com/en-us/learning/exam-70-463.aspx
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The Microsoft 070-463J exam measures the candidate's ability to work with SQL Server 2012/2014 in creating, deploying, and managing data warehouses. 070-463J exam is designed to test the candidate's knowledge of SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS). 070-463J exam also covers the creation of data models, working with ETL (Extract, Transform, Load) processes, and the use of business intelligence tools to visualize data.
Passing the Microsoft 070-463 exam demonstrates that a candidate has the skills and knowledge required to implement a data warehouse using SQL Server technologies. It is also a valuable certification for professionals who want to advance their career in data warehousing and business intelligence. By passing 070-463J exam, candidates can show their proficiency in designing and implementing data solutions using SQL Server, which is a widely used database management system in the IT industry.
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Microsoft 070-463日本語 Exam Syllabus Topics:
| Section | Objectives |
| Topic 1: Build and deploy multidimensional models | - Design and implement cubes using SSAS
- Define measures, dimensions, and hierarchies
- Implement OLAP storage and processing
|
| Topic 2: Optimize and maintain a data warehouse | - Performance tuning and query optimization
- Monitor and troubleshoot ETL processes
- Implement security and access control
|
| Topic 3: Build data warehouse infrastructure | - Implement SQL Server Agent jobs
- Configure SQL Server Integration Services (SSIS)
|
| Topic 4: Extract, transform, and load data | - Manage incremental data loads
- Implement data cleansing and data flow transformations
- Develop ETL solutions using 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
|