Use this quick start guide to collect all the information about Microsoft Developing SQL Data Models (70-768) Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the 70-768 Microsoft Developing SQL Data Models exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual Microsoft MCSA SQL 2016 BI Development certification exam.
The Microsoft Developing SQL Data Models certification is mainly targeted to those candidates who want to build their career in SQL Server domain. The Microsoft Certified Solutions Associate (MCSA) - SQL 2016 BI Development exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of Microsoft MCSA SQL 2016 BI Development.
Microsoft Developing SQL Data Models Exam Summary:
| Exam Name | Microsoft Certified Solutions Associate (MCSA) - SQL 2016 BI Development |
| Exam Code | 70-768 |
| Exam Price | $165 (USD) |
| Duration | 120 mins |
| Number of Questions | 40-60 |
| Passing Score | 700 / 1000 |
| Books / Training | 20768: Developing SQL Data Models (three days) |
| Schedule Exam | Pearson VUE |
| Sample Questions | Microsoft Developing SQL Data Models Sample Questions |
| Practice Exam | Microsoft 70-768 Certification Practice Exam |
Microsoft 70-768 Exam Syllabus Topics:
| Topic | Details |
|---|---|
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 |
To ensure success in Microsoft MCSA SQL 2016 BI Development certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for Microsoft Developing SQL Data Models (70-768) exam.