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To prepare for the Microsoft 070-467 exam, candidates should have a strong foundation in data analysis, data modeling, and data warehousing. They should also have experience working with SQL Server and other Microsoft technologies, as well as a deep understanding of business intelligence concepts and best practices. There are a variety of study resources available for candidates, including online courses, practice exams, and study guides. With the right preparation and dedication, individuals can successfully pass the Microsoft 070-467 exam and earn the certification, which can open up new career opportunities and demonstrate their expertise in business intelligence design.
Microsoft 070-467 exam is part of the Microsoft Certified Solutions Expert (MCSE) certification, which is a globally recognized certification for IT professionals. The MCSE certification program is designed to validate the candidate's skills and knowledge in designing, implementing, and managing Microsoft-based solutions. Passing the 070-467 exam can help IT professionals advance their careers by demonstrating their proficiency in designing business intelligence solutions using Microsoft SQL Server.
Microsoft 070-467日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Design a reporting solution | 20–25% | - Design Reporting Services architecture - Design for report performance and scalability - Design self-service BI reporting - Design report layout and delivery |
| Plan business intelligence (BI) infrastructure | 15–20% | - Plan ETL infrastructure - Plan data warehouse infrastructure - Plan Reporting Services infrastructure - Plan Analysis Services infrastructure |
| Design an ETL solution | 10–15% | - Design ETL scalability and scheduling - Design SSIS package architecture - Design error handling and logging - Design data flow and transformation logic |
| Design BI data models | 30–35% | - Design multidimensional and tabular models - Design dimensional data models - Design for data consistency and quality - Design BI semantic models |
| Design BI infrastructure | 15–20% | - Design security for BI infrastructure - Design SharePoint integrated BI environment - Design high availability and disaster recovery - Design scalability and performance |






