Microsoft 070-460 Exam Information and Actual Questions

  • Exam Code/Number: 070-460
  • Exam Name/Title: Transition Your MCITP: Business Intelligence Developer 2008 to MCSE: Business Intelligence
  • Certification Provider: Microsoft
  • Corresponding Certification: MCITP
  • Exam Questions: 82
  • Updated On: Jul 25, 2026

070-460
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Microsoft
070-460 Exam
Transition Your MCITP: Business Intelligence Developer 2008 to MCSE: Business Intelligence

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Microsoft 070-460 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Implementing Data Models and Reports with SQL Server (SQL Server 2012)
Exam Number:70-460
Exam Duration:120-180
Exam Price:Varies by region (typically ~USD 165 equivalent)
Related Certifications:MCITP: Business Intelligence Developer 2008
MCSE: Data Platform
MCSA: SQL Server
Passing Score:700/1000
Exam Format:Multiple choice, Case studies, Drag and drop, Build list / reorder
Certificate Validity Period:Retired
Available Languages:English, Japanese, Chinese (Simplified), Korean, French, German, Spanish
Recommended Training:Microsoft Learn - SQL Server BI Training
Exam Registration:Pearson VUE Microsoft Exams
Microsoft Certification Dashboard
Sample Questions:Microsoft 070-460 Sample Questions
Exam Way:Proctored exam (online via Pearson VUE or authorized test centers)
Pre Condition:Recommended: experience with SQL Server, data warehousing concepts, and prior Microsoft BI certifications such as MCITP: Business Intelligence Developer 2008
Official Syllabus URL:https://learn.microsoft.com/credentials/certifications/

Microsoft 070-460 Exam Syllabus Topics:

SectionObjectives
Develop reports- Report deployment and management
  • 1. Publishing reports to report server
    • 2. Security and access control
      - SQL Server Reporting Services (SSRS)
      • 1. Report creation and formatting
        • 2. Parameter-driven reports
          Build OLAP cubes- Develop multidimensional models
          • 1. Dimensions and hierarchies
            • 2. Cube design and deployment
              - Implement calculations
              • 1. MDX queries
                • 2. Key performance indicators (KPIs)
                  Design and implement a data warehouse- Design data warehouse schema
                  • 1. Star and snowflake schema design
                    • 2. Fact and dimension tables
                      - Implement ETL processes
                      • 1. Data cleansing and transformation
                        • 2. SQL Server Integration Services (SSIS) workflows
                          Design and implement tabular models- Data analysis and optimization
                          • 1. Performance tuning
                            • 2. Data model optimization
                              - Tabular model development
                              • 1. DAX calculations
                                • 2. Relationships and measures


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