PDF Version DemoHow to study the 70-768 Exam
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What is the duration of the 70-768 Exam
- Number of Questions: 45-60
- Passing Score: 700/1000
- Length of Examination: 150 minutes
- Format: Multiple choices, multiple answers
Skills measured
- Design a multidimensional business intelligence (BI) semantic model (25-30%)
- Develop queries using Multidimensional Expressions (MDX) and Data Analysis Expressions (DAX) (15-20%)
- Configure and maintain SQL Server Analysis Services (SSAS) (30-35%)
- Design a tabular BI semantic model (20-25%)
Reference: https://www.microsoft.com/en-us/learning/exam-70-768.aspx
Microsoft 070-768 Exam Overview:
| Certification Vendor: | Microsoft |
| Exam Name: | Developing SQL Data Models |
| Exam Number: | 70-768 |
| Available Languages: | English |
| Related Certifications: | MCSA: SQL Server 2016 BI Development |
| Exam Format: | Multiple choice, Case study, Lab-based scenarios |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | Retired |
| Recommended Training: | SQL Server Analysis Services (SSAS) learning modules Microsoft Learn - SQL Server Data Models training paths |
| Exam Registration: | Microsoft Credentials Exam Registration |
| Sample Questions: | Microsoft 070-768 Sample Questions |
| Exam Way: | Online proctored or authorized testing center (historically via Pearson VUE for Microsoft certification exams) |
| Pre Condition: | No formal prerequisite, but recommended experience with SQL Server and data modeling concepts. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ |
Microsoft 070-768 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Implement DAX calculations and expressions | - Use DAX functions for filtering and time intelligence - Create calculated columns and measures |
| Topic 2: Implement data integrity and performance optimization | - Data refresh and processing strategies - Indexing and query optimization |
| Topic 3: Develop and deploy SQL Server Analysis Services (SSAS) models | - Create multidimensional models - Configure partitions and storage modes - Create tabular models |
| Topic 4: Design and implement data models | - Normalize and optimize data structures - Implement tables, relationships, and constraints - Design conceptual, logical, and physical data models |
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