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Microsoft 070-768 Actual Tests : Developing SQL Data Models

070-768 actual test
  • Exam Code: 070-768
  • Exam Name: Developing SQL Data Models
  • Updated: Sep 07, 2026
  • Q & A: 70 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $59.99  

About Microsoft 070-768 Exam Actual Tests

Developing SQL Data Models 70-768 Exam

Developing SQL Data Models 70-768 Exam which is related to MCP and MCSA Certification. This exam validates the ability to design, develop and create multidimensional databases, create a multidimensional database by using Microsoft SQL Server Analysis Services, Design and implement dimensions in a cube. It also deals with the ability to implement basic MDX structures and functions, including tuples, sets, and top count and monitor performance and analyze query plans by using extended events and profiler.

70-768 Exam topics

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our Microsoft 70-768 exam dumps will include the following topics:

  • Design a tabular BI semantic model 20-25%
  • 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%

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

Microsoft 70-768 Exam Syllabus Topics:

TopicDetails

Design a multidimensional business intelligence (BI) semantic model (25–30%)

Create a multidimensional database by using Microsoft SQL Server Analysis Services (SSAS)-Design, develop, and create multidimensional databases; select a storage model
Design and implement dimensions in a cube-Select an appropriate dimension model, such as fact, parent-child, roleplaying, reference, data mining, many-to-many, and slowly changing dimension; implement a dimension type; define attribute relationships
Implement measures and measure groups in a cube-Design and implement measures, measure groups, granularity, calculated measures, and aggregate functions; define semi-additive behavior

Design a tabular BI semantic model (20–25%)

Design and publish a tabular data model-Design measures, relationships, hierarchies, partitions, perspectives, and calculated columns; create a time table; publish from Microsoft Visual Studio; import from Microsoft PowerPivot; select a deployment option, including Processing Option, Transactional Deployment, and Query Mode
Configure, manage, and secure a tabular model-Configure tabular model storage and data refresh, configure refresh interval settings, configure user security and permissions, configure row-level security
Develop a tabular model to access data in near real time-Use DirectQuery with Oracle, Teradata, Excel, and PivotTables; convert in-memory queries to DirectQuery

Develop queries using Multidimensional Expressions (MDX) and Data Analysis Expressions (DAX) (15–20%)

Create basic MDX queries-Implement basic MDX structures and functions, including tuples, sets, and TopCount
Implement custom MDX solutions-Create custom MDX or logical solutions for pre-prepared case tasks or business rules, define a SCOPE statement
Create formulas by using the DAX language-Use the EVALUATE and CALCULATE functions, filter DAX queries, create calculated measures, perform data analysis by using DAX

Configure and maintain SQL Server Analysis Services (SSAS) (30–35%)

Plan and deploy SSAS-Configure memory limits, configure Non-Union Memory Architecture (NUMA), configure disk layout, determine SSAS instance placement
Monitor and optimize performance-Monitor performance and analyze query plans by using Extended Events and Profiler, identify bottlenecks in SSAS queries, monitor processing and query performance, resolve performance issues, configure usability limits, optimize and manage model design
Configure and manage processing-Configure partition processing; configure dimension processing; use Process Default, Process Full, Process Clear, Process Data, Process Add, Process Update, Process Index, Process Structure, and Process Clear Structure processing methods; configure Parallel, Sequential, and Writeback processing settings
Create Key Performance Indicators (KPIs) and translations-Configure KPI options, including Associated measure group, Value Expression, Goal Expression, Status, Status expression, Trend, Trend expression, and Weight; create KPIs in multidimensional models and tabular models; create and develop translations

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

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