Microsoft 070-768日本語 : Developing SQL Data Models (070-768日本語版)

070-768日本語 real exams

Exam Code: 070-768J

Exam Name: Developing SQL Data Models (070-768日本語版)

Updated: Sep 10, 2026

Q & A: 70 Questions and Answers

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Exam 70-768: Developing SQL Data Models

This exam retired on January 31, 2021. For currently available options, please refer to the Browse Certifications and Exams page.

 
This exam is intended for business intelligence (BI) developers who focus on creating BI solutions that require implementing multidimensional data models, implementing and maintaining OLAP cubes, and implementing tabular data models.

Part of the requirements for: MCSA: SQL 2016 BI Development MCSE: Data Management and Analytics

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What is the duration of the 70-768 Exam

  • Number of Questions: 45-60
  • Length of Examination: 150 minutes
  • Passing Score: 700/1000
  • Format: Multiple choices, multiple answers

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Languages: English

This exam is intended for business intelligence (BI) developers who focus on creating BI solutions that require implementing multidimensional data models, implementing and maintaining OLAP cubes, and implementing tabular data models.

Reference: https://www.microsoft.com/en-us/learning/exam-70-768.aspx

Certification Path

There is no prerequisite for this Microsoft 70-768 exam.

Microsoft 070-768日本語 Exam Syllabus Topics:

SectionWeightObjectives
Develop queries using MDX and DAX15-20%- Build MDX queries
  • 1. Use tuples, sets, and functions
    • 2. Implement calculated members
      - Build DAX expressions
      • 1. Use time intelligence functions
        • 2. Create calculated columns and measures
          Design a tabular BI semantic model20-25%- Design and publish tabular models
          • 1. Create relationships and hierarchies
            • 2. Define calculated columns and measures
              - Configure tabular model properties
              • 1. Manage partitions and perspectives
                • 2. Set storage and query modes
                  Design a multidimensional business intelligence (BI) semantic model25-30%- Create a multidimensional database using SSAS
                  • 1. Design and create multidimensional databases
                    • 2. Select appropriate storage model
                      - Implement measures and measure groups
                      • 1. Design measures and granularity
                        • 2. Create calculated measures and aggregations
                          - Design and implement dimensions
                          • 1. Choose dimension types and models
                            • 2. Define attribute relationships
                              Configure and maintain SQL Server Analysis Services30-35%- Configure SSAS instance and security
                              • 1. Implement row-level security
                                • 2. Set server and database roles
                                  - Process and manage objects
                                  • 1. Configure processing options
                                    • 2. Monitor and optimize performance

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