For more info visit:
Microsoft 70-768 Exam Reference
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 |
| Exam Format: | Lab-based scenarios, Case study, Multiple choice |
| Related Certifications: | MCSA: SQL Server 2016 BI Development |
| Certificate Validity Period: | Retired |
| Exam Duration: | 120 minutes |
| Recommended Training: | Microsoft Learn - SQL Server Data Models training paths SQL Server Analysis Services (SSAS) learning modules |
| 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/ |
How to book the 70-768 Exam
These are following steps for registering the Microsoft 70-768 exam. Step 1: Visit to Microsoft Exam Registration Step 2: Signup/Login to MICROSOFT account Step 3: Search for MICROSOFT 70-768 Certifications Exam Step 4: Select Date and Center of examination and confirm with payment value of $165
Microsoft 070-768 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Develop and deploy SQL Server Analysis Services (SSAS) models | - Configure partitions and storage modes - Create multidimensional models - Create tabular models |
| Implement data integrity and performance optimization | - Indexing and query optimization - Data refresh and processing strategies |
| Implement DAX calculations and expressions | - Create calculated columns and measures - Use DAX functions for filtering and time intelligence |
| Design and implement data models | - Implement tables, relationships, and constraints - Normalize and optimize data structures - Design conceptual, logical, and physical data models |

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