Exam 70-768 Developing SQL Data Models (beta)
Published: August 26, 2016
Audiences:IT professionals, Developers
Technology: SQL Server
Credit toward certification: MCP, MCSA
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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
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