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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

Download exam skills outline

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

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Skills measured

Configure and maintain SQL Server Analysis Services (SSAS) (30-35%)
Design a multidimensional business intelligence (BI) semantic model (25-30%)
Develop queries using Multidimensional Expressions (MDX) and Data Analysis Expressions (DAX) (15-20%)
Design a tabular BI semantic model (20-25%)

Microsoft 070-768 Exam Syllabus Topics:

Section	Weight	Objectives
Configure and maintain SQL Server Analysis Services	30-35%	- Process and manage objects 1. Monitor and optimize performance 2. Configure processing options - Configure SSAS instance and security 1. Set server and database roles 2. Implement row-level security
Develop queries using MDX and DAX	15-20%	- Build DAX expressions 1. Create calculated columns and measures 2. Use time intelligence functions - Build MDX queries 1. Implement calculated members 2. Use tuples, sets, and functions
Design a multidimensional business intelligence (BI) semantic model	25-30%	- Create a multidimensional database using SSAS 1. Select appropriate storage model 2. Design and create multidimensional databases - 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
Design a tabular BI semantic model	20-25%	- 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